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International journals
2024
E. Donini, L. Bruzzone, F. Bovolo
Super-Resolution of Radargrams with a Generative Deep Learning Model
IEEE Transactions on Geoscience and Remote sensing, in press, 2024.
L. Ding, K. Zhu, D. Peng, H. Tang, H. Guo, L. Bruzzone
Adapting Segment Anything Model for Change Detection in VHR Remote Sensing Images
IEEE Transactions on Geoscience and Remote sensing, Vol. 62, 2024.
DOI 10.1109/TGRS.2024.3368168
H. Guo, D. Ye, L. Bruzzone
OBSUM: An object-based spatial unmixing model for spatiotemporal fusion of remote sensing images
Remote Sensing of Environment, In press, 2024.
DOI 10.1016/j.rse.2024.114046
L. Ding, J. Zhang, K. Zhang, H. Guo, B. Liu, L. Bruzzone
Joint Spatio-Temporal Modeling for Semantic Change Detection in Remote Sensing Images
IEEE Transactions on Geoscience and Remote sensing, Vol. 62, 2024.
DOI 10.1109/TGRS.2024.3362795
K. Meshkini, F. Bovolo, L. Bruzzone
Multi-Annual Change Detection Using a Weakly Supervised 3D CNN in HR SITS
IEEE Geoscience and Remote Sensing Letters, 2024.
DOI 10.1109/LGRS.2024.3359819
Y. Zheng, S. Liu, H. Chen, L. Bruzzone
Hybrid FusionNet: A Hybrid Feature Fusion Framework for Multi-Source High-Resolution Remote Sensing Image Classification
IEEE Transactions on Geoscience and Remote sensing, Vol. 62, 2024.
DOI 10.1109/TGRS.2024.3352812
Y. Chen, L. Bruzzone
Unsupervised CD in satellite image time series by contrastive learning and feature tracking
IEEE Transactions on Geoscience and Remote sensing, Vol. 62, 2024.
DOI 10.1109/TGRS.2024.3354118
Y. Yu, Z. Xiao, L. Bruzzone, H. Deng
Mapping and analyzing the spatiotemporal patterns and drivers of multiple ecosystem services: A case study in the Yangtze and Yellow River Basins
Remote Sensing, Vol. 16(2), 411, 2024.
DOI 10.3390/rs16020411
Y. Liu, F. Zhang, S. Zhang, K. Zhang, J. Sun, L. Bruzzone
Content-Guided Spatial-Spectral Integration Network for Change Detection in HR Remote Sensing Images
IEEE Transactions on Geoscience and Remote sensing, Vol. 62, 2024.
DOI 10.1109/TGRS.2024.3352050
H. Zhao, S. Liu, X. Tong, Q. Du, L. Bruzzone, K. Du, J. Zhang, X. Lu
MarsMapNet: A Novel Superpixel-Guided Shallow-to-Deep Feature Fusion Network for Efficient Martian Landform Mapping
IEEE Transactions on Geoscience and Remote Sensing, Vol.62, 2024.
DOI 10.1109/TGRS.2023.3348931
2023
A. Moreira, F. Bovolo, D. Long, A. Plaza,
IGARSS 2023 in Pasadena, California: Impressions of the First Days
IEEE Geoscience and Remote Sensing Magazine, pp. 114-125, 2023.
DOI 10.1109/MGRS.2023.3303685
F. Zhang, K. Zhang, J. Sun, W. Wan, L. Bruzzone
DRFormer: Learning Disentangled Representation for Pan sharpening via Mutual Information Based Transformer
IEEE Transactions on Geoscience and Remote Sensing, Vol.61, 2023.
DOI 10.1109/TGRS.2023.3339650
C. Yang, X. Zhang, L. Bruzzone, B. Liu, D. Liu, X. Ren, J.A. Benediktsson, Y. Liang, B. Yang, M. Yin, H. Zhao, R. Guan, C. Li, Z. Ouyang
Comprehensive mapping of lunar surface chemistry by adding Chang’e-5 samples with deep learning
Nature Communications,14, 7554, 2023.
DOI 10.1038/s41467-023-43358-0
T. Kim, Y. Yun, C. Lee, F. Bovolo, Y. Han
FMPR-Net: False Matching Point Removal Network for Very-High-Resolution Satellite Image Registration
IEEE Transactions on Remote sensing, Vol. 61, 2023.
DOI 10.1109/TGRS.2023.3333811
W. Diao, F. Zhang, J. Sun, Y. Xing, K. Zhang,L. Bruzzone
ZeRGAN: Zero-Reference GAN for Fusion of Multispectral and Panchromatic Images
IEEE Transactions on Neural Networks and Learning Systems, Vol. 34, No. 11, pp. 8195-8209, 2023.
DOI 10.1109/TNNLS.2021.3137373
E. Sbalchiero, M. Cortellazzi, S. Thakur, L. Bruzzone,
A dictionary-based integrated simulation approach to model large and small-scale coherent surface scattering phenomena in radar sounder data
IEEE Transactions on Geoscience and Remote Sensing, Vol.61, 2023.
DOI 10.1109/TGRS.2023.3317234
Y. Zheng, S. Liu, L. Bruzzone
An Attention-enhanced Feature Fusion Network (AeF2N) for Hyperspectral Image Classification
IEEE Geoscience and Remote Sensing Letter, Vol.20, 2023.
DOI 10.1109/LGRS.2023.3320193
M. Zanetti
A One-Class Classification Model for Burned-Area Detection Based on Mutual Ordering of Normalized Differences
IEEE Transactions on Geoscience and Remote Sensing, Vol.61, 2023.
DOI 10.1109/TGRS.2023.3301056
M. Usmani, F. Bovolo, M. Napolitano
Remote sensing and deep learning to understand noisy OSM
MDPI Remote Sensing, Vol.15, pp. 4638-4657, 2023.
DOI 10.3390/rs15184639
S. Zaghian, A. Mohammadzadeh, A. Ghorbanian, F. Bovolo, and M. Niroumand-Jadidi
Enhancing Suspended Sediment Concentration Retrieval by Integrating Thermal Infrared and Optical Bands of Landsat-8 and Machine Learning Algorithms
International Journal of Remote Sensing, Vol.44, pp. 5814-5844, 2023.
DOI 10.1080/01431161.2023.2255350.
D. Carcereri, P. Rizzoli, D. Ienco, L. Bruzzone
A Deep Learning Framework for the Estimation of Forest Height from Bistatic TanDEM-X Data
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, In press, 2023.
DOI 10.1109/JSTARS.2023.3310209
L. Wang, J. Zhang, L. Wang, L. Bruzzone
SFFGL: A Semantic Feature Fused Global Learning Framework for Multiclass Change Detection in Hyperspectral Images
IEEE Geoscience and Remote Sensing Letters, Vol. 20, In press, 2023.
DOI 10.1109/10.1109/LGRS.2023.3310745
X. Zhang, Y. Su, L. Gao, L. Bruzzone, X. Gu, Q. Tian, J. Tian
A Lightweight Transformer Network for Hyperspectral Image Classification
IEEE Transactions on Geoscience and Remote Sensing, Vol. 61, In press, 2023.
DOI 10.1109/TGRS.2023.3297858
G. Weikmann, D. Marinelli, C. Paris, S. Migdall, E. Gleisberg, F. Appel, J. Dowling, L. Bruzzone
Multi-Year Mapping of Water Demand at Crop Level: An End-to-End Workflow based on High-Resolution Crop Type Maps and Meteorological Data
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, In press, 2023.
DOI 10.1109/JSTARS.2023.3294107
K. Zhang, X. Zhao, F. Zhang, W. Wan, J. Sun, L. Bruzzone
Relation Changes Matter: Cross-Temporal Difference Transformer for Change Detection in Remote Sensing Images
IEEE Transactions on Geoscience and Remote Sensing, Vol. 61, Art. no. 5611615, 2023.
DOI 10.1109/TGRS.2023.3281711
Z. Sheng, F. Zhang, J. Sun, Y. Tan, K. Zhang, L. Bruzzone
A Unified Two-Stage Spatial and Spectral Network With Few-Shot Learning for Pan-sharpening
IEEE Transactions on Geoscience and Remote Sensing, Vol. 61, Art. No. 5403517, 2023.
DOI 10.1109/TGRS.2023.3281602
V. Premier, C. Marin, G. Bertoldi, R. Barella, C. Notarnicola, L. Bruzzone,
Exploring the Use of Multi-source High-Resolution Satellite Data for Snow Water Equivalent Reconstruction over Mountainous Catchments
The Cryosphere, In press, 2023
DOI 10.5194/tc-17-2387-2023
Y. Li, X. Li, Y. Zhang, D. Peng, L. Bruzzone,
Cost-Efficient Information Extraction from Massive Remote Sensing Data: When Weakly Supervised Deep Learning Meets Remote Sensing Big Data
International Journal of Applied Earth Observation and Geoinformation, Volume 120, 103345, 2023
DOI 10.1016/j.jag.2023.103345
R. Guan, M. Wang, L. Bruzzone, H. Zhao, C. Yang,
Lightweight Attention Network for Very High Resolution Image Semantic Segmentation
IEEE Transactions on Geoscience and Remote Sensing, Vol. 61, Art no. 4403514, 2023.
DOI 10.1109/TGRS.2023.3272614
K. Zhang, A. Wang, F. Zhang, W. Wan, J. Sun, L. Bruzzone,
Spatial-Spectral Dual Back-Projection Network for Pansharpening
IEEE Transactions on Geoscience and Remote Sensing, Vol. 61, Art no. 5402216, 2023.
DOI 10.1109/TGRS.2023.3266799
M. Zhao, Q. Meng, L. Zhang, X. Hu, L. Bruzzone,
Local and Long-Range Collaborative Learning for Remote Sensing Scene Classification
IEEE Transactions on Geoscience and Remote Sensing, Vol. 61, Art no. 5606215, 2023.
DOI 10.1109/TGRS.2023.3265346
L. Carrer, L. Bruzzone,
Lava Tubes Roughness and Radar Near-Nadir Regime Backscattering Properties: Implications for Planetary Radar Sounders
IEEE Transactions on Geoscience and Remote Sensing, Vol. 61, Art no. 4600213, 2023.
DOI 10.1109/TGRS.2023.3239987
A. Bortiew, S. Patra, L. Bruzzone,
Active Learning for Hyperspectral Image Classification Using Kernel Sparse Representation Classifiers
IEEE Geoscience and Remote Sensing Letters, Vol. 20, Art no. 5503505, 2023.
DOI 10.1109/LGRS.2023.3264283
M. Niroumand-Jadidi, F. Bovolo,
Deep Learning based Retrieval of an Orange Band Sensitive to Cyanobacteria for Landsat 8/9 and Sentinel 2
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 16, pp. 3929-3937, 2023.
DOI 10.1109/JSTARS.2023.3266929
M. Hoyo-Garcia, E. Donini, F. Bovolo,
Weakly Supervised Transfer Learning Approach for Radar Sounder Data Segmentation
IEEE Transactions in Geoscience and Remote Sensing, Vol. 61, 2023.
DOI 10.1109/TGRS.2023.3252939
L. Bergamasco, F. Bovolo, L. Bruzzone,
A Dual-Branch Deep Learning Architecture for Multi-Sensor and Multi-Temporal Remote Sensing Image Classification
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 16, pp. 2147-2162 2023.
DOI 10.1109/JSTARS.2023.3243396
M. Usmani, M. Napolitano, F. Bovolo,
Towards Global Scale Semantic Segmentation with OpenStreetMap and Remote Sensing
ISPRS Open Journal of Photogrammetry and Remote Sensing, Vol. 8, 2023.
DOI 10.1016/j.ophoto.2023.100031
P. Naik, M. Dalponte, L. Bruzzone,
Automated Machine Learning Based Ensemble Modelling for Forest Aboveground 1 Biomass Prediction Using Multitemporal Sentinel-2 Data
IEEE Journal on Selected Topics in Applied Earth Observation and Remote Sensing, Vol. 16, pp. 3442-3454, 2023.
DOI 10.1109/JSTARS.2022.3232583
A. Singh, L. Bruzzone
WIANet: A Wavelet Inspired Attention based Convolution Neural Network for Land Cover Classification
IEEE Geoscience and Remote Sensing Letters, Vol. 20, 2023.
DOI 10.1109/LGRS.2022.3232224
S. Thakur, E. Sbalchiero, L. Bruzzone
Exploring Venus Subsurface: Analysis of Geological Targets and their Properties
Planetary and Space Science, Vol. 225, 2023.
DOI 10.1016/j.pss.2022.105620
E. Sbalchiero, S. Thakur, M. Cortellazzi, L. Bruzzone
Subsurface signatures of bright terrain formation models on Ganymede by 3D radar sounder simulations
ICARUS, vol. 394, 2023.
DOI /10.1016/j.icarus.2022.115351
L. Carrer, D. Castelletti, R. Pozzobon, Francesco Sauro, L. Bruzzone
Hidden Natural Caves Characterization and Accessibility Assessment from Very High Resolution SAR Satellite Images
IEEE Transactions on Geoscience and Remote Sensing, Vol. 61, 2023.
DOI 10.1109/TGRS.2022.3222991
2022
F. Bovolo, J. Judge, A. Plaza, A. Moreira,
Awards Presented at the IGARSS 2022 Banquet
IEEE Geoscience and Remote Sensing Magazine, pp. 253-269, 2022.
DOI 10.1109/MGRS.2022.3222705
Hui Zhao, Sicong Liu, Qian Du, Lorenzo Bruzzone, Yongjie Zheng, Kecheng Du, Xiaohua Tong, Huan Xie, Xiaolong Ma
GCFnet: Global Collaborative Fusion Network for Multispectral and Panchromatic Image Classification
IEEE Transactions on Geoscience and Remote Sensing, Vol. 60, 2022.
DOI 10.1109/TGRS.2022.3215020
W. Yao, C. Lian, L. Bruzzone
A CNN Ensemble Based on a Spectral Feature Refining Module for Hyperspectral Image Classification
MDPI Remote Sensing, 14(19), 4982, 2022.
DOI 10.3390/rs14194982
A. Singh, L. Bruzzone,
Mono and Dual Regulated Contractive-Expansive-Contractive Deep Convolutional Networks for Classification of Multispectral Remote Sensing Images
IEEE Geoscience and Remote Sensing Letters, Vol. 19, 2022.
DOI 10.1109/LGRS.2022.3211861
J. Hu, X. Zhi, W. Zhang, H. Tang, S. Jiang, L. Bruzzone,
Supervised Multi-scale Attention-guided Ship Detection in Optical Remote Sensing Images
IEEE Transactions on Geoscience and Remote Sensing, Vol. 60, 2022.
DOI 10.1109/TGRS.2022.3206306
C. Paris, L. Gasparella, L. Bruzzone,
A Scalable High-Performance Unsupervised System for Producing Large-Scale HR Land Cover Maps: the Italian Country Case Study
IEEE Journal on Selected Topics in Applied Earth Observation and Remote Sensing, Vol. 15, pp. 9146-9159, 2022.
DOI 10.1109/JSTARS.2022.3209902
M. Niroumand-Jadidi, F. Bovolo, M. Bresciani, P. Gege, C. Giardino,
Water Quality Retrieval from Landsat-9 (OLI-2) Imagery and Comparison to Sentinel-2
MDPI Remote Sensing, Vol. 14, pp. 4596, 2022.
DOI 10.3390/rs14184596
A. Moreira, J. Judge, F. Bovolo, A. Plaza,
IGARSS 2022 in Kuala Lumpur, Malaysia: Impressions of the First Days
IEEE Geoscience and Remote Sensing Magazine,, pp. 317-320, 2022.
DOI 10.1109/MGRS.2022.3198313
Y. Chen, L. Bruzzone,
A Self-supervised Approach to Pixel-Level Change Detection in Multitemporal Remote Sensing Images
IEEE Transactions on Geoscience and Remote Sensing, Vol. 60, 2022.
DOI 10.1109/TGRS.2022.3203897
E. Sbalchiero, S. Thakur, L. Bruzzone,
A Range-Doppler Method for Focusing Radar Sounder Data Generated by Coherent Electromagnetic Simulators
IEEE Transactions on Geoscience and Remote Sensing, Vol. 60, 2022.
DOI 10.1109/TGRS.2022.3201047
M. Niroumand-Jadidi, C.J. Legleiter, F. Bovolo,
Bathymetry Retrieval from CubeSat Image Sequences Based on Machine Learning
Journal of Applied Earth Observation and Geoinformation, Vol. 112, 2022.
DOI 10.1016/j.jag.2022.102958
L. Carrer, S. Thakur, L. Sericati, L. Bruzzone,
Clutter Reduction by Estimation of Echoes Direction of Arrival in Distributed Radar Sounders in Formation Flying
IEEE Transactions on Geoscience and Remote Sensing, Vol. 60, 2022.
DOI 10.1109/TGRS.2022.3195644
L. Mou, Y. Hua, S. Saha, F. Bovolo, L Bruzzone, X. X. Zhu,
Detecting Changes by Learning No Changes: Data-enclosing-ball Minimizing Autoencoders for One-class Change Detection
IEEE Transactions on Geoscience and Remote Sensing, Vol. 60, 2022.
DOI 10.1109/TGRS.2022.3200985
L. Wang, L. Wang, H. Wang, X. Wang, L. Bruzzone,
SPCNet: A Sub-Pixel Convolution-based Change Detection Network for Hyperspectral Images with Different Spatial Resolutions
IEEE Transactions on Geoscience and Remote Sensing, Vol. 60, 2022.
DOI 10.1109/TGRS.2022.3189188
L. Wang, L. Wang, Q. Wang, L. Bruzzone
RSCNet: A Residual Self-Calibrated Network for Hyperspectral Image Change Detection
IEEE Transactions on Geoscience and Remote Sensing, Vol. 60, 2022.
DOI 10.1109/TGRS.2022.3177478
D. Ye, J. Peng, H. Li, L. Bruzzone
Better Memorize, Better Recall: A Lifelong Learning Framework for Remote Sensing Image Scene Classification
IEEE Transactions on Geoscience and Remote Sensing, Vol. 60, 2022.
DOI 10.1109/TGRS.2022.3190392
K. Zhang, A. Wang, F. Zhang, W. Diao, J. Sun, L. Bruzzone
Spatial and Spectral Extraction Network With Adaptive Feature Fusion for Pansharpening
IEEE Transactions on Geoscience and Remote Sensing, Vol. 60, 2022.
DOI 10.1109/TGRS.2022.3187025
S. Thakur, L. Carrer, L. Bruzzone
Analysis of Earth’s Ionosphere Effects on Englacial Layering Detectability in Spaceborne Radar Sounders Data
IEEE Geoscience and Remote Sensing Letters, Vol. 19, 2022.
DOI 10.1109/LGRS.2022.3187176
M. Niroumand-Jadidi, C. J. Legleiter, F. Bovolo
River Bathymetry Retrieval from Landsat-9 Images based on Machine Learning and Comparison to SuperDove and Sentinel-2
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 15, pp.5250-5260, 2022.
DOI 10.1109/JSTARS.2022.3187179
R. Ghosh, F. Bovolo
TransSounder: A Hybrid TransUNet-TransFuse Architectural Framework for Semantic Segmentation of Radar Sounder Data
IEEE Transactions on Geoscience and Remote Sensing, Vol. 60, 2022.
DOI 10.1109/TGRS.2022.3180761
S. Liu, Y. Zheng, Q. Du, L. Bruzzone, A. Samat, X. Tong, Y. Jin
A Shallow-to-Deep Feature Fusion Network for VHR Remote Sensing Image Classification
IEEE Transactions on Geoscience and Remote Sensing, Vol. 60, In press, 2022.DOI 10.1109/TGRS.2022.3179288
P. Naik, M. Dalponte, L. Bruzzone
Generative Feature Extraction from Sentinel 1 and 2 data for Prediction of Forest Aboveground Biomass in the Italian Alps
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Vol. 15, pp. 3131-3145, 2022.
DOI 10.1109/JSTARS.2022.3179027
D. Marinelli, C. Paris, L. Bruzzone
An Approach Based on Deep Learning for Tree Species Classification in LiDAR data acquired in Mixed Forest”
IEEE Geoscience and Remote Sensing Letter, Vol. 19, 2022.
DOI 10.1109/LGRS.2022.3181680
Q. Meng, M. Zhao, L. Zhang, L. Bruzzone, W. Shi, C. Su
Multilayer Feature Fusion Network with Spatial Attention and Gated Mechanism for Remote Sensing Scene Classification
IEEE Geoscience and Remote Sensing Letter, Vol. 19, 2022.
DOI 10.1109/LGRS.2022.3173473
L. Ding. D. Lin, S. Lin, J. Zhang, X. Cui, Y. Wang, H. Tang, L. Bruzzone
Looking Outside the Window: Wide-Context Transformer for the Semantic Segmentation of High-Resolution Remote Sensing Images
IEEE Transactions on Geoscience and Remote Sensing, Vol. 60, 2022.DOI 10.1109/TGRS.2022.3168697
L. Ding. H. Guo, S. Liu, L. Mou, J. Zhang, L. Bruzzone
Bi-Temporal Semantic Reasoning for the Semantic Change Detection in HR Remote Sensing Images
IEEE Transactions on Geoscience and Remote Sensing, Vol. 60, 2022. DOI 10.1109/TGRS.2022.3154390
Y. T. Solano-Correa, K. Meshkini, F. Bovolo, L. Bruzzone
Automatic Large-Scale Precise Mapping and Monitoring of Agricultural Fields at Country Level with Sentinel-2 SITS
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Vol. 15, pp. 3131-3145, 2022.
DOI 10.1109/JSTARS.2022.3164547
A. Harikumar, X. Liang, F. Bovolo, L. Bruzzone
Void-volume based Stem Geometric Modelling and Branch-knot Localization in Terrestrial Laser Scanning Data
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Vol. 15, pp. 3024-3040, 2022.
DOI 10.1109/JSTARS.2022.3163404
S. Liu, F. Bovolo, L. Bruzzone, X. Tong, Q. Du
Foreword to the Special Issue on Recent Advances in Multitemporal Remote Sensing Data Processing
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 15, pp. 776-778, 2022.
DOI 10.1109/JSTARS.2022.3140594
L. Bergamasco, S. Saha, F. Bovolo, L. Bruzzone
Unsupervised Change Detection Using Convolutional-Autoencoder Multi-resolution Features
IEEE Transactions in Geoscience and Remote Sensing, Vol. 60, 2022.
DOI 10.1109/TGRS.2022.3140404
L. Ren, F. Bovolo, J. Hu, L. Bruzzone
Hyperspectral Unmixing Using Weighted Sparse Regression with Total Variation Regularization
International Journal of Remote Sensing, pp. 1-28, 2022.
DOI 10.1080/01431161.2021.2018151
E. Donini, L. Carrer, C. Gerekos, L. Bruzzone, F. Bovolo,
An Unsupervised Fuzzy System for the AutomaticDetection of Lava Tubes in Radar Sounder Data
IEEE Transactions on Geoscience and Remote Sensing, Vol. 60, 2022.
DOI 10.1109/TGRS.2021.3062753
H. Zhao, F. Zhou, L. Bruzzone, R. Guan, C. Yang
Superpixel-level Global and Local Similarity Graph-based Clustering for Large Hyperspectral Images
IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions in Geoscience and Remote Sensing, Vol. 60, 2022.
DOI 10.1109/TGRS.2021.3132683
L. Ding, H. Tang, Y. Liu, Y. Shi, X.X. Zhu, L. Bruzzone
Adversarial Shape Learning for Building Extraction in VHR Remote Sensing Images
IEEE Transactions on Image Processing, vol. 31, pp. 678-690, 2022.
DOI 10.1109/TIP.2021.3134455
S. Liu, H. Zhao, Q. Du, A. Samat, L. Bruzzone, X. Tong
A Novel Cross-Resolution Feature-Level Fusion for Joint Classification of Multispectral and Panchromatic Remote Sensing Images
IEEE Transactions in Geoscience and Remote Sensing, Vol. 60, 2022.
DOI 10.1109/TGRS.2021.3127710
Y. Chen, L. Bruzzone
Self-supervised SAR-optical Data Fusion using Sentinel-1/-2 Images
IEEE Transactions in Geoscience and Remote Sensing, Vol. 60, 2022.
DOI 10.1109/TGRS.2021.3128072
E. Donini, F. Bovolo, L. Bruzzone
A Deep Learning Architecture for Semantic Segmentation of Radar Sounder Data
IEEE Transactions in Geoscience and Remote Sensing, Vol. 60, 2022.
DOI 10.1109/TGRS.2021.3119047
S. Thakur, E. Donini, F. Bovolo, L. Bruzzone
An Approach to the Assessment of Detectability of Subsurface Targets in Polar Ice from Satellite Radar Sounder
IEEE Transactions in Geoscience and Remote Sensing, Vol. 60, 2022.
DOI 10.1109/TGRS.2021.3119047
L. Carrer, L. Bruzzone
A Novel Approach to the Detection and Imaging of Martian Subglacial Lakes by Radar Sounder Data
IEEE Transactions on Geoscience and Remote Sensing, Vol. 60, 2022.
DOI 10.1109/TGRS.2021.3111814
D. Marinelli, C. Paris, L. Bruzzone
A Triangulation- Based Technique for Tree-top Detection in Heterogeneous Forest Structures Using High-density LiDAR Data
IEEE Geoscience and Remote Sensing Letter, vol. 19, 2022.
DOI 10.1109/LGRS.2021.3115470
C. Paris, L. Orlandi, L. Bruzzone
A Strategy for an Interactive Training Set Definition based on Active Self-Paced Learning
IEEE Geoscience and Remote Sensing Letter, Vol. 19, 2022.
DOI 10.1109/LGRS.2021.3114611
M. Zanetti, S. Saha, D. Marinelli, M.L. Magliozzi, M. Zavagli, M. Costantini, F. Bovolo, L. Bruzzone
An operational system for burned area detection on high-resolution multispectral imagery
IEEE Transactions on Geoscience and Remote Sensing, Vol. 60, 2022.
DOI 10.1109/TGRS.2021.3110280
T.M. Roberts, A. Romero-Wolf, L. Bruzzone, L. Carrer, S. Peters, D.M. Schroeder
Conditioning Jovian Burst Signals for Passive Sounding Applications
IEEE Transactions on Geoscience and Remote Sensing, Vol. 60, 2022.
DOI 10.1109/TGRS.2021.3109106
D. Peng, H. Guan, Y. Zang, L. Bruzzone,
Full-level Domain Adaption for Building Extraction in Very High Resolution Optical Remote Sensing Images
IEEE Transactions on Geoscience and Remote Sensing, Vol. 60, 2022.
DOI 10.1109/TGRS.2021.3093004
G. Perantoni, L. Bruzzone,
A Novel Technique for Robust Training of Deep Networks with Multisource Weak Labeled Remote Sensing Data
IEEE Transactions on Geoscience and Remote Sensing, Vol. 60, 2022.
DOI 10.1109/TGRS.2021.3091482
Y. Chen, L. Bruzzone,
Self-supervised Change Detection in Multi-view Remote Sensing Images
IEEE Transactions on Geoscience and Remote Sensing, Vol. 60, 2022.
DOI 10.1109/TGRS.2021.3089453
D. Wen, X. Huang, F. Bovolo, J. Li, X. Ke, A. Zhang, J.A. Benediktsson
Change Detection From Very-High-Spatial-Resolution Optical Remote Sensing Images
IEEE Geoscience and Remote Sensing Magazine, Vol. 9, pp. 68-101, 2022.
DOI 10.1109/MGRS.2021.3063465
L. Ren, Z. Ma, F. Bovolo, L. Bruzzone
A Nonconvex Framework for Sparse Unmixing Incorporating the Group Structure of the Spectral Library
IEEE Transactions in Geoscience and Remote Sensing, Vol. 60, 2022.
DOI 10.1109/TGRS.2021.3081101
A. Singh, L. Bruzzone
SIGAN: Spectral Index Generative Adversarial Network for Data Augmentation in Multispectral Remote Sensing Images
IEEE Geoscience and Remote Sensing Letter, Vol. 19, 2022.
DOI 10.1109/LGRS.2021.3093238
L. Mou, S. Saha, Y. Hua, F. Bovolo, L. Bruzzone, X.X. Zhu,
Deep Reinforcement Learning for Band Selection in Hyperspectral Image Classification
IEEE Transactions on Geoscience and Remote Sensing, Vol. 60, 2022.
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S. Saha, F. Bovolo, L. Bruzzone
Change detection in image time-series using unsupervised LSTM
IEEE Geoscience and Remote Sensing Letter, Vol. 19, pp. 1-5, 2022.
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D. Marinelli, N. Coops, D.K: Bolton, L. Bruzzone
Forest Change Detection in Lidar Data Based on Polar Change Vector Analysis
IEEE Geoscience and Remote Sensing Letter, Vol. 19, 2022.
DOI 10.1109/LGRS.2020.3022282
2021
M. Niroumand-Jadidi, F. Bovolo
Sentinel-2 Reveals Abrupt Increment of Total Suspended Matter while Ever Given Ship Blocked the Suez Canal
MDPI Water Vol. 13, pp. 3286, 2021.
DOI 10.3390/w13223286
S. Chirakkal, F. Bovolo, A. Misra, L. Bruzzone, A. Bhattacharya
A General Framework for Change Detection Using Multi-modal Remote Sensing Data
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 14, pp. 10665-10680, 2021.
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R. Sedona, C. Paris, G. Cavallaro, L. Bruzzone and M. Riedel
A High-Performance Multispectral Adaptation GAN for Harmonizing Dense Time Series of Landsat-8 and Sentinel-2 images
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 14, pp. 10134-10146, 2021.
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K. Stephan, T. Roatsch, F. Tosi, K.-D. Matz, E. Kersten, R. Wagner, P. Palumbo, F. Poulet, H. Hussmann, S. Barabash, L. Bruzzone, M. Dougherty, R. Gladstone, L. Gurvits, P. Hartogh, L. Iess, J.-E. Wahlund, P. Wurz, O. Witasse, O. Grasset, N. Altobelli, J. Carter, E. d’Aversa, V. Della Corte, G. Filacchione, A. Galli, V. Galuzzi, K. Gwinner, E. Hauber, R. Jaumann, Y. Langevin, A. Lucchetti, A. Migliorini, G. Piccioni, A. Solomonidou, A. Stark, G. Tobie, C. Vallat, T. van Hoolst, and the JUICE SWT team
Regions of Interest on Ganymede’s and Callisto’s surface as potential targets for ESA’s JUICE mission
Planetary and Space Science, Vol. 208, 105324, 2021.
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D. Haileselassie Hagos, T. Kakantousis, V. Vlassov, S. Sheikholeslami, T. Wang, J. Dowling, C. Paris, D. Marinelli, G. Weikmann, L. Bruzzone, S. Khaleghian, T. Kræmer, T. Eltoft, A. Marinoni, D.A.Pantazi, G. Stamoulis, D. Bilidas, G. Papadakis, G. Mandilaras, M. Koubarakis, A. Troumpoukis, S. Konstantopoulos, M. Muerth, F. Appel, A. Fleming, A. Cziferszky
ExtremeEarth Meets Satellite Data From Space
IEEE Journal on Selected Topics in Applied Earth Observation and Remote Sensing, Vol. 14, pp. 9038-9063, 2021.
DOI 10.1109/JSTARS.2021.3107982
V. Premier, C. Marin, S. Steger, C. Notarnicola, L. Bruzzone
A Novel Approach Based on a Hierarchical Multi-resolution Analysis of Optical Time Series to Reconstruct the Daily High Resolution Snow Cover Area
IEEE Journal on Selected Topics in Applied Earth Observation and Remote Sensing, Vol. 14, pp. 9223-9240, 2021.
DOI 10.1109/JSTARS.2021.3103585
D. Peng, L: Bruzzone, H. Guan, P. He,
SCDNET: A Novel Convolutional Network for Semantic Change Detection in High Resolution Remote Sensing Images
International Journal of Applied Earth Observation and Geoinformation, Volume 103, 102465, 2021.
DOI 10.1016/j.jag.2021.102465
M. Niroumand-Jadidi, F. Bovolo, L. Bruzzone, P. Gege,
Inter-Comparison of Methods for Lake Chlorophyll-a Retrieval: Sentinel-2 Time-Series Analysis
MDPI Remote Sensing, Vol 13, 2381, 2021.
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M. Belenguer-Plomer, M. A. Tanase, E. Chuvieco, F. Bovolo
CNN-based burned area mapping using radar and optical data
Remote Sensing of Environment, Vol. 260, 112468, 2021.
DOI 10.1016/j.rse.2021.112468
G. Weikmann, C. Paris, L.Bruzzone
TimeSen2Crop: a Million Labeled Samples Dataset of Sentinel 2 Image Time Series for Crop Type Classification
IEEE Journal on Selected Topics in Applied Earth Observation and Remote Sensing, Vol. 14, pp. 4699-4708, 2021.
DOI 10.1109/JSTARS.2021.3073965
P. Naik, M. Dalponte, L. Bruzzone
Prediction of forest aboveground biomass using multitemporal multispectral remote sensing data
MDPI Remote Sensing, 13, 1282, 2021.
DOI 10.3390/rs13071282
S. Thakur, L. Bruzzone
An approach to the generation and analysis of databases of simulated radar sounder data for performance prediction and target interpretation
IEEE Transactions on Geoscience and Remote Sensing, Vol. 59, pp. 8269-8287, 2021.
DOI 10.1109/TGRS.2021.3052376
H. Zhao, L. Bruzzone, R. Guan, F. Zhou, C. Yang
Spectral-Spatial Genetic Algorithm based Unsupervised Band Selection for Hyperspectral Image Classification
IEEE Transactions on Geoscience and Remote Sensing, Vol. 59, pp. 9616-9632, 2021.
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P. Song, S. Gogineni, I.A. Galkin, J. Volakis, J.M. Soderblom, A.G. Hayes, B.W. Reinisch, R. H. Giles, R. Sood, H.L. Zhang, D. Braaten, H. J. Melosh, L. Bruzzone, S.B. Venkatakrishnan3 J.B. Yan, C.R. O’Neil,
Feasibility Study of a High-Resolution Shallow Surface Penetration Radar for Space Application
Radio Science, Vol. 56, pp. 1-20, 2021.
DOI 10.1029/2020RS007118
S.K. Roy, S. Manna, T. Song, L Bruzzone
Attention-based Adaptive Spectral-Spatial Kernel ResNet for Hyperspectral Image Classification
IEEE Transactions on Geoscience and Remote Sensing, Vol. 59, pp. 7831-7843, 2021.
DOI 10.1109/TGRS.2020.3043267
C. Gerekos, C. Grima, G. Steinbrugge, S. Thakur, K.M. Scanlan, D.A. Young, L. Bruzzone, D.D. Blankenship
Martian roughness analogues of Europan terrains and implications on radar backscatter
ICARUS, Vol. 358, 114197, 2021.
DOI 10.1016/j.icarus.2020.114197
L. Ding, L. Bruzzone
DiResNet: Direction-aware Residual Network for Road Extraction in VHR Remote Sensing Images
IEEE Transactions on Geoscience and Remote Sensing, Vol. 59, pp. 10243-10254, 2021.
DOI 10.1109/TGRS.2020.3034011
L. Carrer, D. M. Schroeder, A. Romero-Wolf, P. Ries, L. Bruzzone
Analysis of Temporal and Structural Characteristics of Jovian Radio Emissions for Passive Radar Sounding of Jupiter’s Icy Moons
IEEE Transactions on Geoscience and Remote Sensing, Vol. 59, pp. 3857-3874, 2021.
DOI 10.1109/TGRS.2020.3023249
F. Sica, G. Gobbi, P. Rizzoli, L. Bruzzone
Φ-Net: Deep Residual Learning for InSAR Parameters Estimation
IEEE Transactions on Geoscience and Remote Sensing, Vol. 59, pp. 3917-3941, 2021.
DOI 10.1109/TGRS.2020.3020427
Y. Chen, L. Bruzzone, L. Jiang, Q. Sun
ARU-Net: Reduction of Atmospheric Phase Screen in SAR Interferometry Using Attention-based Deep Residual U-Net
IEEE Transactions on Geoscience and Remote Sensing, Vol. 59, pp. 5780-5793, 2021.
DOI 10.1109/TGRS.2020.3021765
D. Peng, L. Bruzzone, Y. Zhang, H. Guan, H. Ding, X. Huan
SemiCDNet: A Semi-supervised Convolutional Neural Network for Change Detection in Very High Resolution Multispectral Images
IEEE Transactions on Geoscience and Remote Sensing, Vol. 59, pp. 5891-5906, 2021.
DOI 10.1109/TGRS.2020.3011913
A. Harikumar, C. Paris, F. Bovolo, L. Bruzzone
A Crown Quantization Based Approach to Tree-Species Classification in High Density Airborne Laser Scanning Data
IEEE Transactions on Geoscience and Remote Sensing, Vol. 59, pp. 4444-4453, 2021.
DOI 10.1109/TGRS.2020.3012343
W. Yao, C. Lian, L. Bruzzone
ClusterCNN: Clustering Based Feature Learning for Hyperspectral Image Classification
IEEE Geoscience and Remote Sensing Letter, Vol. 18, pp. 1991-1995, 2021.
DOI 10.1109/LGRS.2020.3010837
L. Carrer, F. Zancanella, L. Bruzzone
Mars Surface Imaging by Exploiting Off-Nadir Radar Sounding Data
IEEE Transactions on Geoscience and Remote Sensing, Vol. 59, pp. 2951-2961, 2021.
DOI 10.1109/TGRS.2020.3006586
C. Paris, L. Bruzzone
A Novel Approach to the Unsupervised Extraction of Reliable Training Samples from Thematic Products
IEEE Transactions on Geoscience and Remote Sensing, Vol. 59, pp. 1930-1948, 2021.
DOI 10.1109/TGRS.2020.3001004
A. Preethy Byju, S. Gencer, B. Demir, L. Bruzzone
Remote-Sensing Image Scene Classification with Deep Neural Networks in JPEG 2000 Compressed Domain
IEEE Transactions on Geoscience and Remote Sensing, Vol. 59, pp. 3458-3472, 2021.
DOI 10.1109/TGRS.2020.3007523
S. Saha, Y.T. Solano-Correa, F. Bovolo, L. Bruzzone
Unsupervised deep transfer learning based change detection for HR multispectral images
IEEE Geoscience and Remote Sensing Letters, Vol. 18, pp. 856-860, 2021.
DOI 10.1109/LGRS.2020.2990284
S. Saha, L. Mou, X. X. Zhu, F. Bovolo, L. Bruzzone
Semisupervised change detection using Graph Convolutional Network
IEEE Geoscience and Remote Sensing Letters, Vol. 18, pp. 607-611, 2021.
DOI 10.1109/LGRS.2020.2985340
S. Saha, F. Bovolo, L. Bruzzone
Building Change Detection in VHR SAR Images via Unsupervised Deep Transcoding
IEEE Transactions on Geoscience and Remote Sensing, Vol. 59, pp. 1917-1929, 2021.
DOI 10.1109/TGRS.2020.3000296
L. Ren, Z. Ma, F. Bovolo
A Novel Dual Alternating Direction Method of Multipliers for Spectral Unmixing
IEEE Geoscience and Remote Sensing Letters, Vol. 18, pp. 528-532, 2021.
DOI 10.1109/LGRS.2020.2980429
L. Ding, H. Tang, L. Bruzzone
LANet: Local Attention Embedding to Improve the Semantic Segmentation of Remote Sensing Images
IEEE Transactions on Geoscience and Remote Sensing, Vol. 59, No. 1, pp. 426-435, 2021.
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2020
M. Niroumand-Jadidi, F. Bovolo. L. Bruzzone
Water Quality Retrieval from PRISMA Hyperspectral Images: First Evaluation in a Turbid Lake and Comparison with Sentinel-2
MDPI Remote Sensing, 12(23), 3984, 2020.
DOI 10.3390/rs12233984
C. Yang, H. Zhao, L. Bruzzone, J.A. Benediktsson, Y. Liang, B. Liu, X. Zeng, R. Guan, C. Li, Z. Ouyang
Lunar impact craters identification and age estimation with Chang’E data by deep and transfer learning
Nature Communications, 11, 6358, 22 december 2020.
DOI 10.1038/s41467-020-20215-y
J. Hu, X. Zhi, W. Zhang, L Ren, L. Bruzzone
Salient Ship Detection via Background Prior and Foreground Constraint in Remote Sensing Images
MDPI Remote Sensing, Vol. 12, 3370, 2020.
DOI 10.3390/rs12203370
D. Pirrone, F. Bovolo, L. Bruzzone
An Approach to Unsupervised Detection of Fully and Partially Destroyed Buildings in Multi-temporal VHR SAR Images
IEEE Journal on Selected Topics in Applied Earth Observation and Remote Sensing, Vol. 13, pp.5938-5953, 2020.
DOI 10.1109/JSTARS.2020.3026838
I. Podsiadło, C. Paris, M. Callegari, C. Marin, D. Günther, U. Strasser, C. Notarnicola , L. Bruzzone
Integrating Models and Remote Sensing Data for Distributed Glacier Mass Balance Estimation
IEEE Journal on Selected Topics in Applied Earth Observation and Remote Sensing, Vol. 13, pp. 177-6194, 2020.
DOI 10.1109/JSTARS.2020.3028653
M. Niroumand-Jadidi, F. Bovolo, L. Bruzzone
SMART-SDB: Sample-specific Multiple bAnd Ratio Technique for Satellite-Derived Bathymetry
Remote Sensing of Environment, Vol. 251, 15 December, 2020.
DOI 10.1016/j.rse.2020.112091
S. Paterna, M. Santoni, L. Bruzzone
An Approach Based on Multiobjective Genetic Algorithms to Schedule Observations in Planetary Remote Sensing Missions
IEEE Journal on Selected Topics in Applied Earth Observation and Remote Sensing, Vol. 13, pp. 4714-4727, 2020.
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A. Das, K. Bhardwaj, S. Patra, L. Bruzzone
Attribute Profiles of Different Attributes for Spectral-Spatial Classification of Hyperspectral Imagery
Remote Sensing in Earth Systems Sciences, 3, pp.136–155, 2020.
DOI 10.1007/s41976-020-00037-8
M. Niroumand-Jadidi, F. Bovolo, L. Bruzzone, P. Gege
Physics-based Bathymetry and Water Quality Retrieval Using PlanetScope Imagery: Impacts of 2020 COVID-19 Lockdown and 2019 Extreme Flood in the Venice Lagoon
MDPI Remote Sensing, 12(15), 2381, 2020.
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L. Carrer, E. Donini, D. Marinelli, M. Zanetti, F. Mento, E. Torri, A. Smargiassi, R. Inchingolo, G. Soldati, L. Demi, F. Bovolo, L. Bruzzone
Automatic Pleural Line Extraction and Covid-19 Scoring from Lung Ultrasound Data
Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, Vol. 67, pp. 2207-2217 2020.
DOI 10.1109/TUFFC.2020.3005512
S. Saha, L. Mou, C. Qiu, X. X. Zhu, F. Bovolo, L. Bruzzone
Unsupervised deep joint segmentation of multi-temporal high resolution images
IEEE Transactions on Geoscience and Remote Sensing, Vol. 58, pp. 8780-8792, 2020.
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A. Das, K. Bhardwaj, S. Patra, L. Bruzzone
A novel threshold detection technique for the construction of attribute profiles of hyperspectral images
IEEE Journal on Selected Topics in Applied Earth Observation and Remote Sensing, Vol. 13, pp. 1374 – 1384, 2020.
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J. Zhang, S. Lin, L. Ding, L. Bruzzone
Multi-scale Context Aggregation for Semantic Segmentation of Remote Sensing Images
MDPI Remote Sensing, Vol. 12, 701, 2020.
DOI 10.3390/rs12040701
M. Niroumand-Jadidi, M. Santoni, L. Bruzzone, F. Bovolo,
Snow Cover Estimation Underneath the Clouds based on Multitemporal Correlation Analysis in Historical Time-Series Imagery
IEEE Transactions on Geoscience and Remote Sensing, Vol. 58, pp. 5703-5714, 2020.
DOI 10.1109/TGRS.2020.2969026
D. Pirrone, F. Bovolo, L. Bruzzone,
A Novel Framework Based on Polarimetric Change Vectors for Unsupervised Multiclass Change Detection in Dual-Pol Intensity SAR Images
IEEE Transactions on Geoscience and Remote Sensing, Vol. 58, pp. 4780-4795, 2020.
DOI 10.1109/TGRS.2020.2966865
A. Preethy Byju, B. Demir, L. Bruzzone,
A Progressive Context Based Image Retrieval System for JPEG 2000 Compressed Remote Sensing Archives
IEEE Transactions on Geoscience and Remote Sensing, Vol. 58, pp. 5739-5751, 2020.
DOI 10.1109/TGRS.2020.2969374
Y. Tan, L. Lu, L. Bruzzone, R. Guan, Z. Chang, C. Yang
Hyperspectral Band Selection for Lithological Discrimination and Geological Mapping
IEEE Journal on Selected Topics in Applied Earth Observation and Remote Sensing, Vol. 13, pp. 471 – 486, 2020.
DOI 10.1109/JSTARS.2020.2964000
L. Ding, J. Zhang, L. Bruzzone
Semantic Segmentation of Large-size VHR Remote Sensing Images Using a Two-stage Multi-scale Training Architecture
IEEE Transactions on Geoscience and Remote Sensing, Vol. 58, pp. 5367-5376, 2020.
DOI 10.1109/TGRS.2020.2964675
M. Darvishi, G. Cuozzo, L. Bruzzone, F. Nilfouroushan
Performance evaluation of phase and weather-based models in atmospheric correction with Sentinel-1data: Corvara landslide in the Alps
IEEE Journal on Selected Topics in Applied Earth Observation and Remote Sensing, Vol. 13, pp. 1332 – 1346, 2020.
D. Pirrone, S. De, A. Bhattacharya, L. Bruzzone, F. Bovolo
An Unsupervised Approach to Change Detection in Built-Up Areas by Multitemporal PolSAR Images
IEEE Geoscience and Remote Sensing Letters, Vol. 17, pp.1914-1918, 2020.
DOI 10.1109/LGRS.2019.2958262
Y.T. Solano Correa, F. Bovolo, L. Bruzzone, D. Fernandez Prieto
Spatio-Temporal Evolution of Crop Fields in Sentinel-2 Satellite Image Time Series
IEEE Transactions on Geoscience and Remote Sensing, Vol. 58, pp. 2150-2164, 2020.
DOI 10.1109/TGRS.2019.2953652
A. Maffei, J.M. Haut, M.E. Paoletti, J. Plaza, L. Bruzzone, A. Plaza
A Single Model CNN for Hyperspectral Image Denoising
IEEE Transactions on Geoscience and Remote Sensing, Vol. 58, pp. 2516-2529, 2020.
DOI 10.1109/TGRS.2019.2952062
C. Gerekos, L. Bruzzone, M. Imai
A Coherent Method for Simulating Active and Passive Radar Sounding of the Jovian Icy Moons
IEEE Transactions on Geoscience and Remote Sensing, Vol. 58, pp. 2250-2265, 2020.
DOI 10.1109/TGRS.2019.2945079
Y. Qin, L. Bruzzone, B.Li
Learning Discriminative Embedding for Hyperspectral Image Clustering Based on Set-to-Set and Sample-to-Sample Distances
IEEE Transactions on Geoscience and Remote Sensing, Vol. 58, No. 1, pp. 473-485, 2020.
DOI 10.1109/TGRS.2019.2937204
2019
L. De Gregorio, D. Guenther, M. Callegari, U. Strasser, M. Zebisch, L. Bruzzone, C. Notarnicola
Improving SWE estimation by fusion of snow models with topographic and remotely sensed data
MDPI Remote Sensing, Vol. 11, pp. 2033, 2019.
DOI 10.3390/rs11172033
M. Niroumand-Jadidi, F. Bovolo, L. Bruzzone
Novel Spectra-Derived Features for Empirical Retrieval of Water Quality Parameters: Demonstrations for OLI, MSI and OLCI Sensors
IEEE Transactions on Geoscience and Remote Sensing, Vol. 57, No. 12, pp. 10285-10300, 2019.
DOI 10.1109/TGRS.2019.2933251
S. Perna, G. Alberti, P. Berardino, L. Bruzzone, D. Califano, I. Catapano, L. Ciofaniello, E. Donini, C. Esposito, C. Facchinetti, R. Formaro, G. Gennarelli, C. Gerekos, R. Lanari, F. Longo, G.i Ludeno, M. Mariotti d’Alessandro, A. Natale, C.Noviello, G. Palmese, C. Papa, G. Pica, F. Rocca, G. Salzillo, F. Soldovieri, S. Tebaldini, S. Thakur
The ASI Integrated Sounder-SAR System Operating in the UHF-VHF Bands: First Results of the 2018 Helicopter-Borne Morocco Desert Campaign
MDPI Remote Sensing, Vol. 11, pp. 1845, 2019.
DOI 10.3390/rs11161845
L. Carrer, C. Gerekos, F. Bovolo, L. Bruzzone
Distributed Radar Sounder: A Novel Concept for Subsurface Investigations Using Sensors in Formation Flight
IEEE Transactions on Geoscience and Remote Sensing, Vol. 57, No. 12, pp. 9791-9809, 2019.
DOI 10.1109/TGRS.2019.2929422
S. Liu, Q. Du, X. Tong, A. Samat, L. Bruzzone
Unsupervised Change Detection in Multispectral Remote Sensing Images via Spectral-Spatial Band Expansion
IEEE Journal on Selected Topics in Applied Earth Observation and Remote Sensing, Vol. 12, No. 9, pp. 3578-3587, 2019.
DOI 10.1109/JSTARS.2019.2929514
Y. Qin, L. Bruzzone, B. Li
Tensor Alignment based Domain Adaptation for Hyperspectral Image Classification
IEEE Transactions on Geoscience and Remote Sensing, Vol. 57, No. 11, pp. 9290-9307, 2019.
DOI 10.1109/TGRS.2019.2926069
Y. Ye, L. Bruzzone, J. Shan, F. Bovolo, Q. Zhu
Fast and Robust Matching for Multimodal Remote Sensing Image Registration
IEEE Transactions on Geoscience and Remote Sensing, Vol. 57, No. 11, pp. 9059-9070, 2019.
DOI 10.1109/TGRS.2019.2924684
L. De Gregorio, M. Callegari, C. Marin, M. Zebisch, L. Bruzzone, B. Demir, U. Strasser, T. Marke, D. Günther, R. Nadalet, C. Notarnicola
A novel data fusion technique for snow cover retrieval,,
IEEE Journal on Selected Topics in Applied Earth Observation and Remote Sensing, No. 8, pp. 2862-2877, 2019.
DOI 10.1109/JSTARS.2019.2920676
K. Bhardwaj, S. Patra, L. Bruzzone
Threshold-free Attribute Profile for Classification of Hyperspectral Images
IEEE Transactions on Geoscience and Remote Sensing, , No. 10, pp. 7731-7742, 2019.
DOI 10.1109/TGRS.2019.2916169
Y.T. Solano-Correa, F. Bovolo, L. Bruzzone
Generation of Homogeneous VHR Time Series by Non-parametric Regression of Multisensor Bitemporal Images
IEEE Transactions on Geoscience and Remote Sensing, Vol. 57, No. 10, pp. 7579-7593, Oct. 2019.
DOI 10.1109/TGRS.2019.2914397
Y. Qin, L. Bruzzone, C. Gao, B. Li
Infrared Small Target Detection Based on Facet Kernel and Random Walker
IEEE Transactions on Geoscience and Remote Sensing, Vol. 57, No. 9, pp. 7104-7118, 2019.
DOI 10.1109/TGRS.2019.2911513
D. Marinelli, C. Paris, L. Bruzzone
An Approach to Tree Detection Based on the Fusion of Multitemporal LiDAR Data
IEEE Geoscience and Remote Sensing Letters, , Vol. 16, No. 11, pp. 1771-1775, 2019.
DOI 10.1109/LGRS.2019.2908314
S. Thakur, L. Bruzzone
An Approach to the Simulation of Radar Sounder Radargrams Based on Geological Analogues
IEEE Transactions on Geoscience and Remote Sensing, Vol. 57, No.8, pp. 5266-5284, 2019.
DOI 10.1109/TGRS.2019.2898027
S. Liu, D. Marinelli, L. Bruzzone, F. Bovolo
A review of change detection in multitemporal hyperspectral images: Current techniques, applications, and challenges
IEEE Geoscience and Remote Sensing Magazine, vol. 7, no. 2, pp. 140–158, Jun. 2019.
DOI 10.1109/MGRS.2019.2898520
D. Marinelli, F. Bovolo, L. Bruzzone
A Novel Change Detection Method for Multitemporal Hyperspectral Images Based on Binary Hyperspectral Change Vectors
IEEE Transactions on Geoscience and Remote Sensing, vol. 57, no. 7, pp. 4913–4928, Jun. 2019.
DOI 10.1109/TGRS.2019.2894339
Y.T. Solano-Correa, F. Bovolo, L. Bruzzone
An Approach to Multiple Change Detection in VHR Optical Images Based on Iterative Clustering and Adaptive Thresholding
IEEE Geoscience and Remote Sensing Letters, Vol. 16, no. 8, pp. 1334-1338, Aug. 2019.
DOI 10.1109/LGRS.2019.2896385
C. Paris, L. Bruzzone, D. Fernández-Prieto
A Novel Approach to the Unsupervised Update of Land-Cover Maps by Classification of Time Series of Multispectral Images,
IEEE Transactions on Geoscience and Remote Sensing, , Vol. 57, No. 7, pp. 4259-4277, 2019.
DOI 10.1109/TGRS.2018.2890404
Y. Qin,L. Bruzzone, Y. Ye
Cross-Domain Collaborative Learning via Cluster Canonical Correlation Analysis and Random Walker for Hyperspectral Image Classification
IEEE Transactions on Geoscience and Remote Sensing, Vol. 57, No. 6, pp. 3952-3966, 2019.
DOI 10.1109/TGRS.2018.2889195
P. Ghamisi, P. Atkinsson, B. Rasti, N. Yokoya, Q. Wang, B. Hofle, L. Bruzzone, F. Bovolo, M. Chi, K.Anders, R. Gloaguen, J.A. Benediktsson
Multi-source and Multi-Temporal Data Fusion in Remote Sensing
IEEE Geoscience and Remote Sensing Magazine, Vol. 7, pp. 6-39, 2019.
S. Saha, F. Bovolo, L. Bruzzone
Unsupervised Deep Change Vector Analysis for Multiple-Change Detection in VHR Images
IEEE Transactions on Geoscience and Remote Sensing, Vol. 57, No. 6, pp. 3677-3693, 2019.
DOI 10.1109/TGRS.2018.2886643
S. Demetri, G.P. Picco, L. Bruzzone
LaPS: LiDAR-assisted Placement of Wireless Sensor Networks in Forests
ACM Transactions on Sensor Networks, Vol. 15, No. 2, 2019.
DOI 10.1145/3293500
A.M. Ilisei, M. Khodadadzadeh, A. Ferro, L. Bruzzone
An Automatic Method for Subglacial Lake Detection in Ice Sheet Radar Sounder Data
IEEE Transactions on Geoscience and Remote Sensing, Vol. 57, no.6, 3252 – 3270, 2019.
DOI 10.1109/TGRS.2018.2882911
A. Harikumar, F. Bovolo, L. Bruzzone
A Local Projection based Approach to Individual Tree Detection and 3D Crown Delineation in Multistoried Coniferous Forests using High Density Airborne LiDAR Data,
IEEE Transactions on Geoscience and Remote Sensing, Vol. 57, No. 2, pp. 1168-1182, 2019.
DOI 10.1109/TGRS.2018.2865014
T. Reato, B. Demir, L. Bruzzone
An Unsupervised Multicode Hashing Method for Accurate and Scalable Remote Sensing Image Retrieval,
IEEE Geoscience and Remote Sensing Letters, Vol. 16, No. 2, pp. 276-280, 2019.
DOI 10.1109/LGRS.2018.2870686
L. Mou, L. Bruzzone, X. X. Zhu
Learning Spectral-Spatial-Temporal Features via a Recurrent Convolutional Neural Network for Change Detection in Multispectral Imagery,
IEEE Transactions on Geoscience and Remote Sensing, Vol. 57, No. 2, pp. 924-935, 2019.
DOI 10.1109/TGRS.2018.2863224
2018
C. Yang, L. Bruzzone, H. Zhao, Y. Tan, R. Guan
Superpixel-Based Unsupervised Band Selection for Classification of Hyperspectral Imags,
IEEE Transactions on Geoscience and Remote Sensing, Vol. 56, No. 12, pp. 7230-7245, 2018.
DOI 10.1109/TGRS.2018.2849443
C. Gerekos, A. Tamponi, L. Carrer, D. Castelletti, M. Santoni, L. Bruzzone
A Coherent Multilayer Simulator of Radargrams Acquired by Radar Sounder Instruments,
IEEE Transactions on Geoscience and Remote Sensing, Vol. 56, No. 12, pp. 7388-7404, 2018.
DOI 10.1109/TGRS.2018.2851020
T. Scuccato, L. Carrer, F. Bovolo, L. Bruzzone
Compensating Earth Ionosphere Phase Distortion in Spaceborne VHF Radar Sounders for Subsurface Investigations,
IEEE Geoscience and Remote Sensing Letters, Vol. 15, No. 11, pp. 1672-1676, 2018.
DOI 10.1109/LGRS.2018.2854930
M. Darvishi, R. Schlögel, C. Kofler, G. Cuozzo, M. Rutzinger, T. Zieher, I. Toschi, F. Remondino, A. Aguila Mejia, B. Thiebes, L. Bruzzone
Sentinel-1 and ground-based sensors for continuous monitoring of the Corvara landslide (South Tyrol, Italy)
MDPI Remote Sensing, Vol. 10, No. 11, pp. 1781, 2018.
DOI 10.3390/rs10111781
P.G. Bascoy, P. Quesada-Barriuso, D. B. Heras, F. Arguello, B. Demir, L. Bruzzone
Extended Attribute Profiles on GPU Applied to Hyperspectral Image Classification
Journal of Supercomputing, 19 November, 2018.
DOI 10.1007/s11227-018-2690-1
Y. Ye, J. Shan, S. Hao, L. Bruzzone, Y. Qin
A Local Phase Based Invariant Feature for Remote Sensing Image Matching,
ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 142, pp. 205-221, August 2018.
DOI 10.1016/j.isprsjprs.2018.06.010
H. Zhang, L. Bruzzone, W. Shi, M. Hao, Y. Wang
Enhanced Spatially Constrained Remotely Sensed Imagery Classification Using Fuzzy Local Double Neighborhood Information C-Means Clustering Algorithm,
IEEE Journal on Selected Topics in Applied Earth Observation and Remote Sensing, Vol. 11, No. 8, pp. 2896-2910, 2018.
DOI 10.1109/JSTARS.2018.2846603
S. Hao, W. Wang, Y. Ye, L. Bruzzone
A Deep Network Architecture for Super-resolution aided Hyperspectral Image Classification with Class-wise Loss,
IEEE Transactions on Geoscience and Remote Sensing, Vol. 56, No. 8, pp. 4650-4663, 2018.
DOI 10.1109/TGRS.2018.2832228
O.E. Dai, B. Demir, B. Sankur, L. Bruzzone
A Novel System for Content based Retrieval of Single and Multi-Label High Dimensional Remote Sensing Images,
IEEE Journal on Selected Topics in Applied Earth Observation and Remote Sensing, Vol. 11, No. 7, pp. 2473-2490, 2018.
DOI 10.1109/JSTARS.2018.2832985
E. Méndez Dominguez, E. Meier, D. Small, M.E. Schaepman, L. Bruzzone, D. Henke
A Multisquint Framework for Change Detection in High-resolution Multitemporal SAR Images,
IEEE Transactions on Geoscience and Remote Sensing, Vol. 56, No. 6, pp. 3611-3623, 2018.
DOI 10.1109/TGRS.2018.2805471
D. Marinelli, C. Paris, L.Bruzzone
A Novel Approach to Three-Dimensional Change Detection in Multitemporal LiDAR Data Acquired in Forest Areas,
IEEE Transactions on Geoscience and Remote Sensing, Vol. 56, No. 6, pp. 3030-3046, 2018.
DOI 10.1109/TGRS.2018.2789660
C. Paris, J. Bioucas-Dias, L. Bruzzone
A Novel Sharpening Approach for Superresolving Multiresolution Optical Images,
IEEE Transactions on Geoscience and Remote Sensing, Vol. 57, No.3, pp. 1545-1560, 2018.
DOI 10.1109/TGRS.2018.2867284
C. Paris, L. Bruzzone
A Growth-Model Driven Technique for Tree Stem Attribute Estimation by using Airborne LiDAR Data,
IEEE Transactions on Geoscience and Remote Sensing, Vol. 57, No. 1, pp. 76-92, 2018.
DOI 10.1109/TGRS.2018.2852364
A. Herique, B. Agnus, E. Asphaug, A. Barucci, P. Beck, J. Bellerose, J. Biele, L. Bonal, P. Bousquet, L. Bruzzone, C. Buck, I. Carnelli, A. Cheng, V. Ciarletti, M. Delbo, J. Du, X. Du, C. Eyraud, W. Fa, J. Gil Fernandez, O. Gassot, R. Granados-Alfaro, S.F. Green, B. Grieger, J.T. Grundmann, J. Grygorczuk, R. Hahnel, E. Heggy, T-M. Ho, O. Karatekin, Y. Kasaba, T. Kobayashi, W. Kofman, C. Krause, A. Kumamoto, M. Küppers, M. Laabs, C. Lange, J. Lasue, A.C. Levasseur- Regourd, A. Mallet, P. Michel, S. Mottola, N. Murdoch, M. Mütze, J. Oberst, R. Orosei, D. Plettemeier, S. Rochat, R. RodriguezSuquet, Y. Rogez, P. Schaffer, C. Snodgrass, J-C. Souyris, M. Tokarz, S. Ulamec, J-E. Wahlund, S. Zine,
Direct Observations of Asteroid Interior and Regolith Structure: Science Measurement Requirements,
Advances in Space Research, Vol. 62, No. 8, pp.2141-2162, 2018.
DOI: 10.1016/j.asr.2017.10.020
Y.T. Solano-Correa, F. Bovolo, L. Bruzzone
An Approach for Unsupervised Change Detection in Multitemporal VHR Images Acquired by Different Multispectral Sensors,
Remote Sensing, Vol. 10, No. 4, 533, 2018.
DOI 10.3390/rs10040533
Open Access
M. Darvishi, R. Schlögel, L. Bruzzone, G. Cuozzo
Integration of PSI, MAI and Intensity-Based Sub-Pixel Offset Tracking Results for Landslide Monitoring with X-band Corner Reflectors – Italian Alps (Corvara),
Remote Sensing, Vol. 10, No. 3, 409, 2018.
DOI 10.3390/rs10030409
Open Access
L. Carrer, C. Gerekos, L. Bruzzone
A multi-frequency radar sounder for lava tubes detection on the moon : design, performance assessment and simulations,
Planetary and Space Science, 152C, pp. 1-17, 2018.
DOI 10.1016/j.pss.2018.01.011
F. Kizel, J.A. Benediktsson, L. Bruzzone, G.B.M. Pedersen, O.K. Vilmunandardóttir, N. Falco
Simultaneous and Constrained Calibration of Multiple Hyperspectral Images Through a New Generalized Empirical Line Model,
IEEE Journal on Selected Topics in Applied Earth Observation and Remote Sensing, Vol. 11, No.6, 2018.
DOI 10.1109/JSTARS.2018.2804666
S. De, L. Bruzzone, A. Bhattacharya, F. Bovolo, S. Chaudhuri
A Novel Technique Based on Deep Learning and a Synthetic Database for Classification of Urban Areas in PolSAR Data,
IEEE Journal on Selected Topics in Applied Earth Observation and Remote Sensing, Vol. 11, No.1, pp. 154-170, 2018.
DOI 10.1109/JSTARS.2017.2752282
A.M. Ilisei, L. Bruzzone
A Method for Automatic Three-Dimensional Reconstruction of Ice Sheets by Using Radar Sounder and Altimeter Data,
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 11, pp. 401-415, 2018
DOI 10.1109/JSTARS.2017.2787199
S. Hao, W. Wang, T. Nie, T. Ye, L. Bruzzone
Two-stream Deep Architecture for Hyperspectral Image Classification,
IEEE Transactions on Geoscience and Remote Sensing, Vol. 56, No. 4, pp. 2349-2361, 2018.
DOI 10.1109/TGRS.2017.2778343
M. Zanetti, L. Bruzzone,
A theoretical framework for change detection based on a compound multiclass statistical model of the difference image,
IEEE Transactions on Geoscience and Remote Sensing, Vol. 56 No. 2, pp. 1129-1143, 2018.
S. Niazmardi, B. Demir, L. Bruzzone, A. Safari and S. Homayouni
Multiple Kernel Learning for Remote Sensing Image Classification,
IEEE Transactions on Geoscience and Remote Sensing, Vol. 56, pp. 1425-1443, 2018.
DOI 10.1109/TGRS.2017.2762597
B. Chaudhuri, B. Demir, S. Chaudhuri, L. Bruzzone
Multilabel Remote Sensing Image Retrieval using a Semi-Supervised Graph-Theoretic Method,
IEEE Transactions on Geoscience and Remote Sensing, Vol. 56, pp. 1144-1158, 2018.
DOI 10.1109/TGRS.2017.2760909
2017
Leonardo Carrer, Lorenzo Bruzzone
Solving for ambiguities in radar geophysical exploration of planetary bodies by mimicking bats echolocation,
Nature communications , 2017, 8(1):2248.
DOI 10.1038/s41467-017-02334-1
Open Access
S. Patra, K. Bhardwaj, L. Bruzzone
A Spectral-Spatial Multi-Criteria Active Learning Technique for Hyperspectral Image Classification,
IEEE Journal on Selected Topics in Applied Earth Observation and Remote Sensing, Vol. 10, No. 12, pp. 5213-5227, 2017.
DOI 10.1109/JSTARS.2017.2747600
S. Liu, Q. Du, X. Tong, A. Samat, L. Bruzzone, F. Bovolo
Multiscale Morphological Compressed Change Vector Analysis for Unsupervised Multiple Change Detection,
IEEE Journal on Selected Topics in Applied Earth Observation and Remote Sensing, Vol. 10, No. 9, pp. 4124-4137, 2017.
D. Castelletti, D. M. Schroeder, S. Hensley, C. Grima, G. Ng, D. Young, Y. Gim, L. Bruzzone, A. Moussessian, D. D. Blankenship
An Interferometric Approach to Cross-Track Clutter Detection in Two Channel VHF Radar Sounders,
IEEE Transactions on Geoscience and Remote Sensing, Vol. 55, No. 11, pp. 6128-6140, 2017.
C. Yang, Y. Tan, L. Bruzzone, R. Guan, L. Lu
Discriminative Feature Metric Learning in the Affinity Propagation Model for Band Selection in Hyperspectral Images,
Remote Sensing, Vol. 9, No. 8, 2017.
DOI 10.3390/rs9080782
Open Access
M. Zanetti, L. Bruzzone
Piecewise linear approximation of vector-valued images and curves via 2nd-order variational model,
IEEE Transactions on Image Processing, Vol. 26, No. 9, pp. 4414-4429, 2017.
DOI 10.1109/TIP.2017.2716827
Y. Han, F. Bovolo, W. Lee
Automatic cloud-free image generation from high-resolution multi-temporal imagery,
SPIE Journal of Applied Remote Sensing, Vol. 11, No. 2, 2017.
DOI 10.1117/1.JRS.11.025005
C. Paris, D. Kelbe, J. van Aardt, L. Bruzzone
A Novel Automatic Method for the Fusion of ALS and TLS LiDAR Data for Robust Assessment of Tree Crown Structure,
IEEE Transactions on Geoscience and Remote Sensing, Vol. 55, No. 7, pp. 3679-3693, 2017.
DOI 10.1109/TGRS.2017.2675963
G. Taskın, H. Kaya, L. Bruzzone
Feature Selection Based on High Dimensional Model Representation for Hyperspectral Images,
IEEE Transactions on Image Processing, Vol. 26, No. 6, pp. 2918-2928, 2017.
DOI 10.1109/TIP.2017.2687128
Code available at Code Ocean
A. Pizzi, A. Di Domenica, G. Komatsu, A. Cofano, G. Mitri, L. Bruzzone
Spreading vs. Rfting as Modes of Extensional Tectonics on the Globally Expanded Ganymede,
ICARUS, Vol. 288, pp. 148-159, 2017.
DOI 10.1016/j.icarus.2017.01.034
A. Harikumar, F. Bovolo, L. Bruzzone
An Internal Crown Geometric Model for Conifer Species Classification with High Density LiDAR Data,
IEEE Transactions on Geoscience and Remote Sensing, Vol. 55, No. 5, pp. 2924 – 2940, 2017.
DOI 10.1109/TGRS.2017.2656152
C. Paris, L. Bruzzone,
A Sensor-Driven Hierarchical Method for Domain Adaptation in Classification of Remote Sensing Images,
IEEE Transactions on Geoscience and Remote Sensing, Vol. 56, pp. 1038-1324, 2017.
DOI 10.1109/TGRS.2017.2761839
Y. Han, F. Bovolo, L. Bruzzone
Segmentation-based Fine Registration of Very High Resolution Multitemporal Images,
IEEE Transactions on Geoscience and Remote Sensing, Vol. 55, No. 5, pp. 2884-2897, 2017.
DOI 10.1109/TGRS.2017.2655941
Y. Ye, J. Shan, L. Bruzzone, L. Shen
Robust Registration of Multi-modal Remote Sensing Images Based on Structural Similarity,
IEEE Transactions on Geoscience and Remote Sensing, Vol. 55, No. 5, pp. 2941-2958, 2017.
DOI 10.1109/TGRS.2017.2656380
L. Carrer, L. Bruzzone,
Automatic Enhancement and Detection of Layering in Radar Sounder Data Based on a Local Scale Hidden Markov Model and the Viterbi Algorithm,
IEEE Transactions on Geoscience and Remote Sensing, Vol. 55, No. 2, pp. 962-977, 2017.
DOI 10.1109/TGRS.2016.2616949
E. Heggy, G. Scabbia, L. Bruzzone, R. Pappalardo,
Radar probing of Jovian Icy Moons: Understanding Subsurface Water and Structure Detectability in JUICE and Europa Missions,
ICARUS, Vol. 285, pp. 237-251, 2017.
DOI 10.1016/j.icarus.2016.11.039
F. Di Paolo, S. E. Lauro, D. Castelletti, G. Mitri, F. Bovolo, B. Cosciotti, E. Mattei, R. Orosei, C. Notarnicola, L. Bruzzone, E. Pettinelli
Radar signal penetration and horizons detection on Europa through numerical simulations,
IEEE Journal of Selected Topics in Applied Earth Observation and Remote Sensing, Vol. 10, No. 1, pp. 118-129, 2017.
DOI 10.1109/JSTARS.2016.2544103
S. Hao, W. Wang, Y. Yan, L. Bruzzone,
Class-wise dictionary learning for hyperspectral image classification,
Neurocomputing, Vol. 220, 12 January, 2017, pp. 121-129.
DOI 10.1016/j.neucom.2016.05.101
2016
D. M. Schroeder, A. Romero-Wolf, L. Carrer, C. Grima, B. Campbell, W. Kofman, L. Bruzzone, D. D. Blankenship,
Assessing the Potential for Passive Radio Sounding of Europa and Ganymede with RIME and REASON,
Planetary and Space Science, Vol. 134, 1 December, 2016, pp. 52–60.
DOI 10.1016/j.pss.2016.10.007
T. Lu, S. Li, L. Fang, L. Bruzzone, J.A. Benediktsson,
Set-to-Set Distance Based Spectral-Spatial Classification of Hyperspectral Images,
IEEE Transactions on Geoscience and Remote Sensing, Vol. 54, No. 12, 2016, pp. 7122-7134.
DOI 10.1109/TGRS.2016.2596260
P. Bose, N. Kasabov, L. Bruzzone, R. Hartono,
Spiking Neural Networks for Crop-yield Estimation Based on Spatio-temporal Analysis of Image Time Series,
IEEE Transactions on Geoscience and Remote Sensing, Vol. 54, No. 11, 2016, pp. 6563-6573.
DOI 10.1109/TGRS.2016.2586602
B.Chaudhuri, B. Demir, L. Bruzzone and S. Chaudhuri,
Region-Based Retrieval of Remote Sensing Images using an Unsupervised Graph-Theoretic Approach,
IEEE Geoscience and Remote Sensing Letters, Vol. 13, 2016, pp. 987-991.
DOI 10.1109/LGRS.2016.2558289
Y. Han, F. Bovolo, L. Bruzzone,
Edge-Based Registration Noise Identification for VHR Multisensor Images,
IEEE Geoscience and Remote Sensing Letters, Vol. 9, No. 13, 2016, pp. 1231-1235.
DOI 10.1109/LGRS.2016.2577719
D. Tuia, C. Persello, L. Bruzzone
Recent Advances in Domain Adaptation for the Classification of Remote Sensiong Data,
IEEE Geoscience and Remote Sensing Magazine, Vol. 4, No. 2, 2016, pp. 41-57.
DOI 10.1109/MGRS.2016.2548504
D. Castelletti, L. Pasolli, L. Bruzzone, C. Notarnicola, B. Demir
A Novel Hybrid Method for the Correction of the Theoretical Model Inversion in Bio/Geophysical Parameter Estimation,
IEEE Transactions on Geoscience and Remote Sensing, Vol. 54, 2016, pp. 4764-4774.
DOI 10.1109/TGRS.2016.2551326
S. Hao, L. Wang, L. Bruzzone, Q. Wang
Spatial-Dictionary for Collaborative Representation Classification of Hyperspectral Images,
Multimedia Tools and Applications, Vol. 75, No. 15, 2016, pp. 9241–9254.
DOI 10.1007/s11042-015-3098-z
C. Paris, D. Valduga, L. Bruzzone
A Hierarchical Approach to 3D Segmentation of LiDAR Data at Single Trees Level in Multi-Layered Forest,
IEEE Transactions on Geoscience and Remote Sensing, vol. 54, no. 7, pp. 4190-4203, July 2016.
DOI 10.1109/TGRS.2016.2538203
S. Liu, L. Bruzzone, F. Bovolo, P. Du
Unsupervised Multitemporal Spectral Unmixing for Detecting Multiple Changes in Hyperspectral Images,
IEEE Transactions on Geoscience and Remote Sensing, Vol. 54, 2016, pp. 2733-2748.
DOI 10.1109/TGRS.2015.2505183
C. Persello, L. Bruzzone
Kernel-based Domain Invariant Feature Selection in Hyperspectral Images for Transfer Learning,
IEEE Transactions on Geoscience and Remote Sensing, Vol. 54, 2016, pp. 2615-2626.
DOI 10.1109/TGRS.2015.2503885
B. Demir, L. Bruzzone
Histogram Based Attribute Profiles for Classification of Very High Resolution Remote Sensing Images,
IEEE Transactions on Geoscience and Remote Sensing, Vol. 54, 2016, pp. 2096-2107.
DOI 10.1109/TGRS.2015.2496167
C. Yang, L. Bruzzone, Y. Liang, R. Guan
Decorrelation-Separability-Based Affinity Propagation for Semi-supervised Clustering of Hyperspectral Images,
IEEE Journal of Selected Topics in Applied Earth Observation and Remote Sensing, Vol. 9, No. 2, pp. 568-582 2016.
DOI 10.1109/JSTARS.2015.2461658
B. Demir, L. Bruzzone
Hashing Based Scalable Remote Sensing Image Search and Retrieval in Large Archives,
IEEE Transactions on Geoscience and Remote Sensing, Vol. 54, 2016, pp. 892 – 904.
DOI 10.1109/TGRS.2015.2469138
2015
M. Zanetti, F. Bovolo, L. Bruzzone
Rayleigh-Rice Mixture Parameter Estimation via EM Algorithm for Change Detection in Multispectral Images,
IEEE Transactions on Image Processing, Vol. 24, 2015, pp.5004-5016.
DOI 10.1109/TIP.2015.2474710
A. Harikumar, A. Kumar, A. Stein, P. L. N. Raju, Y. V. N. Krishna Murthy
An effective hybrid approach to remote-sensing image classification,
International Journal of Remote Sensing 36, No. 11, pp. 2767-2785.
DOI 10.1080/01431161.2015.1047050
Y. Han, F. Bovolo, L. Bruzzone
An Approach to Fine Coregistration Between Very High Resolution Multispectral Images Based on Registration Noise Distribution,
IEEE Transactions on Geoscience and Remote Sensing, Vol. 53, 2015, pp. 6650 – 6662.
DOI 10.1109/TGRS.2015.2445632
F. Bovolo, L. Bruzzone
The Time Variable in Data Fusion: A Change Detection Perspective,
IEEE Geoscience and Remote Sensing Magazine, Vol. 3, No. 3, pp. 8-26, 2015.
DOI 10.1109/MGRS.2015.2443494
N. Falco, J.A. Benediktsson, L. Bruzzone
Spectral and Spatial Classification of Hyperspectral Images Based on ICA and Reduced Morphological Attribute Profiles,
IEEE Transactions on Geoscience and Remote Sensing, Vol. 53, 2015, pp. 6223 – 6240.
DOI 10.1109/TGRS.2015.2436335
C. Notarnicola, S. Asam, M. Castelli,L. Bruzzone, G. Wohlfahrt, M. Zebisch, L. Pasolli
Retrieval of Leaf Area Index in Mountain Grasslands in the Alps from MODIS Satellite Imagery,
Remote Sensing of Environment, Vol. 165, 2015, pp. 159–174.
DOI 10.1016/j.rse.2015.04.027
S. Patra, P. Modi, L. Bruzzone
Hyperspectral Band Selection Based on Rough Set,
IEEE Transactions on Geoscience and Remote Sensing, Vol. 53, 2015, pp. 5495 – 5503.
DOI 10.1109/TGRS.2015.2424236
G. Cavallaro, M. Dalla Mura, J.A. Benediktsson, L. Bruzzone
Extended Self-Dual Attribute Profiles for the Classification of Hyperspectral Images,
IEEE Geoscience and Remote Sensing Letters, Vol. 12, 2015, pp. 1690-1694.
DOI 10.1109/LGRS.2015.2419629
A.M. Ilisei, L. Bruzzone
A System for the Automatic Classification of Ice Sheet Subsurface Targets in Radar Sounder Data,
IEEE Transactions on Geoscience and Remote Sensing, Vol 53, 2015, pp. 3260 – 3277.
DOI 10.1109/TGRS.2014.2372818
S. Liu, L. Bruzzone, F. Bovolo, M. Zanetti, P. Du,
Sequential Spectral Change Vector Analysis for Change Detection in Multitemporal Hyperspectral Images,
IEEE Transactions on Geoscience and Remote Sensing, Vol 53, 2015, pp. 4363 – 4378.
DOI 10.1109/TGRS.2015.2396686
B. Banerjee, F. Bovolo, A. Bhattacharya, L. Bruzzone, S. Chaudhuri, B.K. Mohan,
A novel graph matching based approach for domain adaptation in classification of remote sensing image pair,
IEEE Transactions on Geoscience and Remote Sensing, Vol. 53, 2015, pp. 4045 – 4062.
DOI 10.1109/TGRS.2015.2389520
D. Capella Zanotta, L. Bruzzone, F. Bovolo, Y.E. Shimabukuro,
An Adaptive Semi-Supervised Approach to the Detection of User-Defined Recurrent Changes in Image Time Series,
IEEE Transactions on Geoscience and Remote Sensing, Vol. 53, 2015, pp. 3707 – 3719.
DOI 10.1109/TGRS.2014.2381645
L. Pasolli, C. Notarnicola, G. Bertoldi, L. Bruzzone, R. Remelgado, F. Greifeneder, G, Niedrist, S. Della Chiesa, U. Tappeiner, M. Zebisch,
Estimation of Soil Moisture in Mountain Areas Using SVR technique applied to multiscale active radar images at C band,
IEEE Journal of Selected Topics in Applied Earth Observation and Remote Sensing, Vol. 8, 2015, pp. 262 – 283.
DOI 10.1109/JSTARS.2014.2378795
G. Matasci, M. Volpi, M. Kanevski, L. Bruzzone, D. Tuia,
Semisupervised Transfer Component Analysis for domain adaptation in remote sensing image classification,
IEEE Transactions on Geoscience and Remote Sensing, Vol. 53, 2015, pp.3550 – 3564.
DOI 10.1109/TGRS.2014.2377785
B. Demir, L. Bruzzone,
A Novel Active Learning Method in Relevance Feedback for Content Based Remote Sensing Image Retrieval,
IEEE Transactions on Geoscience and Remote Sensing, Vol. 53, 2015, pp. 2323 – 2334.
DOI 10.1109/TGRS.2014.2358804
C. Marin, F. Bovolo, L. Bruzzone,
Building Change Detection in Multitemporal Very High Resolution SAR Images,
IEEE Transactions on Geoscience and Remote Sensing, Vol. 53, 2015, pp. 2664–2682.
DOI 10.1109/TGRS.2014.2363548
B. Banerjee, F. Bovolo, A. Bhattacharya, L. Bruzzone, S. Chaudhuri, B.K. Mohan,
A New Self-Training-Based Unsupervised Satellite Image Classification Technique Using Cluster Ensemble Strategy,
IEEE Geoscience and Remote Sensing Letters, Vol.12, 2015, pp. 741-745.
DOI 10.1109/LGRS.2014.2360833
S. Liu, L. Bruzzone, F. Bovolo, P. Du,
Hierarchical Unsupervised Change Detection in Multitemporal Hyperspectral Images,
IEEE Transactions on Geoscience and Remote Sensing , Vol. 53, 2015, pp. 244 – 260.
DOI 10.1109/TGRS.2014.2321277
2014
L. Pasolli, C. Notarnicola, G. Bertoldi, S. Della Chiesa, G. Niedrist, L. Bruzzone, U. Tappeiner, M. Zebisch,
Soil Moisture Monitoring in Mountain Areas by Using High Resolution SAR Images: Results from a Feasibility Study,
European Journal of Soil Science, Vol. 65, 2014, pp. 852 – 864.
DOI 10.1111/ejss.12189
V. Neagoe, R. Stoica, A. Ciurea, L. Bruzzone, F. Bovolo,
Concurrent Self-Organizing Maps for Supervised/Unsupervised Change Detection in Remote Sensing Images,
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 7, 2014, pp. 3525-3533.
DOI 10.1109/JSTARS.2014.2330808
N. Falco, J.A. Benediktsson, L. Bruzzone,
A Study on the Effectiveness of Different Independent Component Analysis Algorithms for
Hyperspectral Image Classification
,
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 7, 2014, pp. 2183-2199.
DOI 10.1109/JSTARS.2014.2329792
A.M. Ilisei, L. Bruzzone,
A Model-Based Technique for the Automatic Detection of Earth Continental Ice Subsurface Targets in Radar Sounder Data,
IEEE Geoscience and Remote Sensing Letter, Vol. 11, 2014, pp. 1911-1915.
DOI 10.1109/LGRS.2014.2313858
N. Li, L. Bruzzone, Z., Z. Chen, F. Liu,
A Novel Technique Based on the Combination of Labeled Co-Occurrence Matrix and Variogram for the Detection of Built-up Areas in High-Resolution SAR Images,
Remote Sensing , Vol. 6, 2014, pp. 3857-3878. DOI 10.3390/rs6053857 [open access]
Read it online
S. Patra, L. Bruzzone,
A Novel SOM-SVM based Active Learning Technique for Image Classification,
IEEE Transactions on Geoscience and Remote Sensing, Vol. 52, 2014, pp. 6899 – 6910.
DOI 10.1109/TGRS.2014.2305516
C. Persello, L. Bruzzone,
Active and Semi-Supervised Learning for the Classification of Remote Sensing Images,
IEEE Transactions on Geoscience and Remote Sensing, Vol. 52, 2014, pp. 6937-6956.
DOI 10.1109/TGRS.2014.2305805
A. Singla, S. Patra, L. Bruzzone,
A Novel Classification Technique based on Progressive Transductive Support Vector Machine Learning,
Pattern Recognition Letters, Vol.42, 2014, pp. 101-106.
DOI 10.1109/10.1016/j.patrec.2014.02.003
B. Demir, L. Bruzzone,
A Multiple Criteria Active Learning Method for Support Vector Regression,
Pattern Recognition, 2014, Vol. 47, 2014, pp. 2558-2567.
DOI 10.1016/j.patcog.2014.02.001
B. Narayan Subudhi, F. Bovolo, A. Ghosh, L. Bruzzone,
Spatio-contextual Fuzzy Clustering with Markov Random Field Model for Change Detection in Remotely Sensed Images,
Optics and Laser Technology, Vol. 57, 2014, pp. 284-292.
DOI 10.1016/j.optlastec.2013.10.003[open access]
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C. Paris, L. Bruzzone,
A 3D Model-Based Approach to the Estimation of the Tree Top Height by fusing Low-Density LiDAR data and Very High Resolution Optical Images,
IEEE Transactions on Geoscience and Remote Sensing, Vol. 53, 2014, pp. 467 – 480.
DOI 10.1109/TGRS.2014.2324016
E. Izquierdo-Verdiguier, L. Gomez-Chova, L. Bruzzone, G. Camps-Valls,
Semisupervised Kernel Feature Extraction for Remote Sensing Image Analysis,
IEEE Transactions on Geoscience and Remote Sensing, Vol. 52, 2014, pp. 5567-5578.
DOI 10.1109/TGRS.2013.2290372
B. Demir, L. Minello, L. Bruzzone,
An Effective Strategy to Reduce the Labeling Cost in the Definition of Training Sets by Active Learning,
IEEE Geoscience and Remote Sensing Letters, Vol. 11, 2014, pp. 79-83.
DOI 10.1109/LGRS.2013.2246539
B. Demir, L. Minello, L. Bruzzone,
Definition of Effective Training Sets for Supervised Classification of Remote Sensing Images by a Novel Cost-Sensitive Active Learning Method,
IEEE Transactions on Geoscience and Remote Sensing, Vol. 52, 2014, pp. 1272-1284.
DOI 10.1109/TGRS.2013.2249522
G. Camps-Valls, D. Tuia, L. Bruzzone, J.A. Benediktsson,
Advances in Hyperspectral Image Classification: Earth Monitoring with Statistical Learning Methods,
IEEE Signal Processing Magazine, Vol. 31, 2014, pp. 45-54.
DOI 10.1109/MSP.2013.2279179
2013
C. Yang, S. Liu, L. Bruzzone, R. Guan, P. Du,
A Feature-Metric-Based Affinity Propagation Technique for Feature Selection in Hyperspectral Image Classification,
IEEE Geoscience and Remote Sensing Letters, Vol. 10, 2013, pp. 1152-1156.
DOI 10.1109/LGRS.2012.2233711
B. Demir, F. Bovolo, L. Bruzzone,
Classification of Time Series of Multispectral Images with Limited Training Data,
IEEE Transactions on Image Processing, Vol. 22, 2013, pp. 3219-3233.
DOI 10.1109/TIP.2013.2259838
A. Ghosh, B. Narayan Subudri, L. Bruzzone,
Integration of Gibbs Markov Random Field and Hopfield-Type Neural Networks for Unsupervised Change Detection in Remotely Sensed Multitemporal Images,
IEEE Transactions on Image Processing, Vol. 22, 2013, pp. 3087-3096.
DOI 10.1109/TIP.2013.2259833
A. Ferro, A. Pascal, L. Bruzzone,
A Novel Technique for the Automatic Detection of Surface Clutter Returns in Radar Sounder,
IEEE Transactions on Geoscience and Remote Sensing, Vol. 51, 2013, pp. 3037-3055.
DOI 10.1109/TGRS.2012.2219315
M. Pedergnana, P. Reddy Marpu, M. Dalla Mura, J. A. Benediktsson, L. Bruzzone,
A Novel Technique for Optimal Feature Selection in Attribute Profiles Based on Genetic Algorithms,
IEEE Transactions on Geoscience and Remote Sensing, Vol. 51, 2013, pp. 3514-3528.
DOI 10.1109/TGRS.2012.2224874
F. Bovolo, C. Marin, L. Bruzzone,
A Hierarchical Approach to Change Detection in Very High Resolution SAR Images for Surveillance Applications,
IEEE Transactions on Geoscience and Remote Sensing, Vol. 51, 2013, pp. 2042-2054.
DOI 10.1109/TGRS.2012.2223219
N. Soldati, V.D. Calhoun, L. Bruzzone, J. Jovicich,
The use of a priori information in ICA-based techniques for real-time fMRI: an evaluation of static/dynamic and spatial/temporal characteristics,
Frontiers in Human Neuroscience, 2013.
DOI 10.3389/fnhum.2013.00064
N. Falco, M. Dalla Mura, F. Bovolo, J.A. Benediktsson, L. Bruzzone,
Change Detection in VHR Images Based on Morphological Attribute Profiles,
IEEE Geoscience and Remote Sensing Letters, Vol. 10, 2013, pp. 636-640.
DOI 10.1109/LGRS.2012.2222340
C. Persello,
Interactive Domain Adaptation for the Classification of Remote Sensing Images using Active Learning,
IEEE Geoscience and Remote Sensing Letters, Vol. 4, 2013, pp. 736-740.
DOI 10.1109/LGRS.2012.2220516
C. Yang, L. Bruzzone, R. Guan, L. Lu, Y. Liang,
Incremental and Decremental Affinity Propagation for Semi-supervised Clustering in Multispectral Images,
IEEE Transactions on Geoscience and Remote Sensing, Vol. 51, 2013, pp. 1666-1679.
DOI 10.1109/TGRS.2012.2206818
A. Ferro, L. Bruzzone,
Automatic Extraction and Analysis of Ice Layering in Radar Sounder Data,
IEEE Transactions on Geoscience and Remote Sensing, Vol. 51, 2013, pp. 1622-1634.
DOI 10.1109/TGRS.2012.2206078
A. Ferro, D. Brunner, L. Bruzzone,
Automatic Detection and Reconstruction of Building Radar Footprints from Single VHR SAR Images,
IEEE Transactions on Geoscience and Remote Sensing, Vol. 51, 2013, pp. 935-952.
DOI 10.1109/TGRS.2012.2205156
L. Bruzzone, F. Bovolo,
A Novel Framework for the Design of Change-Detection Systems for Very-High-Resolution Remote Sensing Images,
Proceedings of the IEEE, Vol. 101, 2013, pp. 609-630.
DOI 10.1109/JPROC.2012.2197169
N. Soldati, V. D. Calhoun, L. Bruzzone, J. Jovicich,
ICA analysis of fMRI with real-time constraints: an evaluation of fast detection performance as function of algorithms, parameters and a priori conditions,
Frontiers in Human Neuroscience, 2013.
DOI 10.3389/fnhum.2013.00019
B. Demir, F. Bovolo, L. Bruzzone,
Updating Land-Cover Maps by Classification of Image Time Series: A Novel Change-Detection-Driven Transfer Learning Approach,
IEEE Transactions on Geoscience and Remote Sensing, Vol. 51, 2013, pp. 300-312.
DOI 10.1109/TGRS.2012.2195727
M. Volpi, D. Tuia, F. Bovolo, M. Kanevski, L. Bruzzone,
Supervised Change Detection in VHR Images Using Contextual Information and Support Vector Machines,
International Journal of Applied Earth Observation and Geoinformation, Vol. 20, 2013, pp. 77-85.
DOI 10.1016/j.jag.2011.10.013
P. Reddy Marpu, M. Pedergnana, M. Dalla Mura, J. A. Benediktsson, L. Bruzzone,
Automatic Generation of Standard Deviation Attribute Profiles for Spectral-Spatial Classification of Remote Sensing Data,
IEEE Geoscience and Remote Sensing Letters, Vol. 10, 2013, pp. 293 – 297.
DOI 10.1109/LGRS.2012.2203784
2012
M. Pedergnana, P. Reddy Marpu, M. Dalla Mura, J. A. Benediktsson, L. Bruzzone,
Classification of Remote Sensing Optical and LiDAR Data Using Extended Attribute Profiles,
IEEE Journals on Selected Topics in Signal Processing, Vol. 6, 2012, pp. 856-865.
DOI 10.1109/JSTSP.2012.2208177
P. Reddy Marpu, M. Pedergnana, M. Dalla Mura, S. Peeters, J. A. Benediktsson, L. Bruzzone,
Classification of hyperspectral data using extended attribute profiles based on supervised feature extraction,
International Journal of Image and Data Fusion, Vol. 3, 2012, pp. 269-298.
DOI 10.1080/19479832.2012.702687
A. Ferro, L. Bruzzone,
Analysis of Radar Sounder Signals for the Automatic Detection and Characterization of Subsurface Features,
IEEE Transactions on Geoscience and Remote Sensing, Vol. 50, 2012, pp. 4333-4348.
DOI 10.1109/TGRS.2012.2194500
L. Pasolli, C. Notarnicola, L. Bruzzone,
Multi-objective parameter optimization in regression methods for the retrieval of Geo- and Bio-physical Variables,
IEEE Journal of Selected Topics in Applied Earth Observation and Remote Sensing, Vol. 5, 2012, pp. 1495-1508.
DOI 10.1109/JSTARS.2012.2197178
C. Persello, L. Bruzzone,
Active Learning for Domain Adaptation in the Supervised Classification of Remote Sensing Images,
IEEE Transactions on Geoscience and Remote Sensing, Vol. 50, 2012, pp. 4468-4483.
DOI 10.1109/TGRS.2012.2192740
M. Dalponte, L. Bruzzone, D. Gianelle,
Tree species classification in the Southern Alps based on the fusion of very high geometrical resolution multispectral/hyperspectral images and LiDAR data,
Remote Sensing of Environment, Vol. 123, 2012, pp. 258-270.
DOI 10.1016/j.rse.2012.03.013
S. Patra, L. Bruzzone,
A Cluster-Assumption Based Batch Mode Active Learning Technique,
Pattern Recognition Letters, Vol. 33, 2012, pp. 1042-1048.
DOI 10.1016/j.patrec.2012.01.015
G. A. Licciardi, A. Villa, M. Dalla Mura, L. Bruzzone, J. Chanussot, J. A. Benediktsson,
Retrieval of the Height of Buildings From WorldView-2 Multi-Angular Imagery Using Attribute Filters and Geometric Invariant Moments,
IEEE Journal of Selected Topics in Applied Earth Observation and Remote Sensing, Vol. 5, no. 1, 2012, pp. 71-79.
DOI 10.1109/JSTARS.2012.2184269
K. Bahirat, F. Bovolo, L. Bruzzone, S. Chaudhuri,
A Novel Domain Adaptation Bayesian Classifier for Updating Land-Cover Maps with Class Differences in Source and Target Domains,
IEEE Transactions on Geoscience and Remote Sensing, Vol. 50, no. 7, 2012, pp. 2810-2826.
DOI 10.1109/TGRS.2011.2174154
S. Patra, L. Bruzzone,
A Batch Mode Active Learning Technique Based on Multiple Uncertainty for SVM classifier,
IEEE Geoscience and Remote Sensing Letters, Vol. 9, no. 3, 2012, pp. 497-501.
DOI 10.1109/LGRS.2011.2172770
F. Bovolo, S. Marchesi, L. Bruzzone,
A Framework for Automatic and Unsupervised Detection of Multiple Changes in Multitemporal Images,
IEEE Transactions on Geoscience and Remote Sensing, Vol. 50, no. 6, 2012, pp. 2196-2212.
DOI 10.1109/TGRS.2011.2171493
B. Demir, F. Bovolo, L. Bruzzone,
Detection of Land-Cover Transitions in Multitemporal Remote Sensing Images with Active Learning Based Compound Classification,
IEEE Transactions on Geoscience and Remote Sensing, Vol. 50, no. 5, 2012, pp. 1930-1941.
DOI 10.1109/TGRS.2011.2168534
B. Cecconi, S. Hess, A. Herique, M.R. Santovito, D. Santos-Costa, P. Zarka, G. Alberti, D. Blankenship, J.-L. Bougeret, L. Bruzzone, W. Kofman,
Natural radio emission of Jupiter as interferences for radar investigations of the icy satellites of Jupiter,
Planetary and Space Science, Vol. 61, no. 1, 2012, pp. 32–45.
DOI 10.1016/j.pss.2011.06.012
2011
L. Pasolli, C. Notarnicola, L. Bruzzone, G. Bertoldi, S. Della Chiesa, G. Niedrist, U. Tappeiner, M. Zebisch,
Exploitation of Radarsat 2 Polarimetric Features for Soil Moisture Retrieval in Alpine Meadows and Pastures,
Canadian Journal of Remote Sensing, Vol. 37, no. 5, 2011, pp. 535-547.
DOI 10.5589/m11-065
L. Pasolli, C. Notarnicola, L. Bruzzone,
Estimating Soil Moisture With the Support Vector Regression Technique,
IEEE Geoscience and Remote Sensing Letters, Vol. 8, no. 6, 2011, pp. 1080-1084.
DOI 10.1109/LGRS.2011.2156759
M. Dalponte, L. Bruzzone, D. Gianelle,
A system for the estimation of single tree stem diameters and volume using multireturn LIDAR data,
IEEE Transactions on Geoscience and Remote Sensing, Vol. 49, No. 7, 2011, pp. 2479-2490.
DOI 10.1109/TGRS.2011.2107744
L. Pasolli, C. Notarnicola, L. Bruzzone, G. Bertoldi, S. Della Chiesa, V. Hell, G. Niedrist, U. Tappeiner, M. Zebisch, F. Del Frate, G. Vaglio Laurin,
Estimation of soil moisture in an alpine catchment with RADARSAT2 images,
Applied and Environmental Soil Sciences, Vol. 2011, 2011, [open access].
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M. Dalla Mura, A. Villa, J. A. Benediktsson, J. Chanussot, L. Bruzzone,
Classification of Hyperspectral Images by Using Extended Morphological Attribute Profiles and Independent Component Analysis,
IEEE Geoscience and Remote Sensing Letters, Vol. 8, No. 3, 2011, pp. 541-545.
DOI 10.1109/LGRS.2010.2091253
L. Bruzzone, G. Alberti, C. Catallo, A. Ferro, W. Kofman, R. Orosei,
Sub-Surface Radar Sounding of the Jovian Moon Ganymede,
Proceedings of the IEEE, Vol. 99, No.5, 2011, pp. 837-857.
DOI 10.1109/JPROC.2011.2108990
A. Ferro, D. Brunner, L. Bruzzone, G. Lemoine,
On the Relationship Between Double Bounce and Aspect Angle of Buildings in VHR SAR Images,
IEEE Geoscience and Remote Sensing Letters, Vol. 8, 2011, No.4, pp. 612-616.
DOI 10.1109/LGRS.2010.2097580
S. Tonolli, M. Dalponte, L. Vescovo, M. Rodeghiero, L. Bruzzone, and D. Gianelle,
Mapping and modeling forest tree volume using forest inventory and airborne laser scanning,
European Journal of Forest Research, Vol. 130, No. 4, 2011, pp. 569-577,online.
G. Camps-Valls, J.A. Benediktsson, L. Bruzzone, J. Chanussot,
Introduction to the Issue on Advances in Remote Sensing Image Processing,
IEEE Journal of Selected Topics in Signal Processing, Vol. 5, 2011, No. 3, pp. 365-369.
DOI 10.1109/JSTSP.2011.2142490
R.S. Lunetta, D.L. Civco, R.L. King, L. Bruzzone, J.G. Lyon,
Introduction to the Special Section on the Fifth International Workshop on Multi-temporal Imagery Analysis,
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 4, 2011, No. 2, pp. 251.
DOI 10.1109/JSTARS.2011.2150770
B. Murphy, M. Poesio, F. Bovolo, M. Dalponte, L. Bruzzone, H. Lakany,
EEG decoding of semantic category reveals distributed representations for single concepts,
Brain and Language, online, Vol. 117, 2011, No. 1, pp. 12-22.
S. Patra, L. Bruzzone,
A Fast Cluster-Based Active Learning Technique for Classification of Remote Sensing Images,
IEEE Transactions on Geoscience and Remote Sensing, Vol. 49, 2011, No.5, pp. 1617-1626.
DOI 10.1109/TGRS.2010.2083673
B. Demir, C. Persello, L. Bruzzone,
Batch Mode Active Learning Methods for the Interactive Classification of Remote Sensing Images,
IEEE Transactions on Geoscience and Remote Sensing, Vol. 49, 2011, No.3, pp. 1014-1031.
DOI 10.1109/TGRS.2010.2072929
D. Brunner, G. Lemoine, H. Greidanus, L. Bruzzone,
Radar Imaging Simulation for Urban Structures,
IEEE Geoscience and Remote Sensing Letters, Vol. 8, 2011, No.1, pp. 68-72.
DOI 10.1109/LGRS.2010.2051214
2010
A. Harikumar, C. Rajgopal, K. P. Soman
A simple approach to clustering in excel.,
International Journal of Computer Applications 11, No. 7, pp. 19-25.
S. Aksoy, N.H. Younan, L. Bruzzone,
Editorial “Pattern Recognition in Remote Sensing” ,
Special issue inPattern Recognition Letters,Vol. 31, No. 10, 2010, pp. 1069-1070.
DOI 10.1016/j.patrec.2010.04.014
A. Mognon, J. Jovicich, L. Bruzzone, M. Buiatti,
ADJUST: An Automatic EEG artefact Detector based on the Joint Use of Spatial and Temporal features,
Psychophysiology, online, DOI: 10.1111/j.1469-8986.2010.01061.x, 2010.
M. Dalla Mura, J.A. Benediktsson, B. Waske, and L. Bruzzone,
Extended Profiles with Morphological Attribute Filters for the Analysis of Hyperspectral Data,
International Journal of Remote Sensing, Vol. 31, 2010, pp. 5975-5991.
DOI 10.1080/01431161.2010.512425
F. Bovolo, L. Bruzzone, L. Carlin,
A Novel Technique for Sub-pixel Image Classification Based on Support Vector Machine,
IEEE Transactions on Image Processing, Vol. 19, 2010, No. 11, pp. 2983 – 2999.
M. Dalla Mura, J.A. Benediktsson, B. Waske, and L. Bruzzone,
Morphological Attribute Profiles for the Analysis of Very High Resolution Images,,
IEEE Transactions on Geoscience and Remote Sensing, Vol. 48, 2010, No. 10, pp. 3747 – 3762.
A. Ghosh, B. Uma Shankar, L. Bruzzone, S. K. Meher,
Neuro-Fuzzy-Combiner: an Effective Multiple Classifier System,
International Journal of Knowledge Engineering and Soft Data Paradigms, Vol. 2, 2010, No.2, pp. 107 – 129.
J. Muñoz-Marí, F. Bovolo, L. Gómez-Chova, L. Bruzzone, G. Camps-Valls,
Semisupervised One-Class Support Vector Machines for Classification of Remote Sensing Data,
IEEE Transactions on Geoscience and Remote Sensing, Vol. 48, 2010, No. 8, pp. 3188 – 3197.
S. Marchesi, F. Bovolo, L. Bruzzone,
A Context-Sensitive Technique Robust to Registration Noise for Change Detection in VHR Multispectral Images,
IEEE Transactions on Image Processing, Vol. 19, 2010, No. 7, pp. 1877 – 1889.
F. Bovolo, G. Camps-Valls, L. Bruzzone,
A Support Vector Domain Method for Change Detection in Multitemporal Images,
Pattern Recognition Letters, Vol. 31, 2010, No. 10, pp. 1148-1154.
C. Yang, L. Bruzzone, F. Sun, L. Lu, R. Guan, Y. Liang,
A Fuzzy-Statistic-Based Affinity Propagation Technique for Clustering in Multispectral Images,
IEEE Transactions on Geoscience and Remote Sensing, Vol. 48, 2010, No. 6, pp. 2647-2659.
L. Bruzzone, M. Marconcini,
Domain Adaptation Problems: a DASVM Classification Technique and a Circular Validation Strategy,
IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 32, 2010, No. 5, pp. 770-787.
D. Brunner, G. Lemoine, L. Bruzzone,
Earthquake damage assessment of buildings using VHR optical and SAR imagery,
IEEE Transactions on Geoscience and Remote Sensing, Vol. 48, 2010, No. 5, pp. 2403-2420.
D. Brunner, G. Lemoine, L. Bruzzone, H. Greidanus,
Bulding Height Retrieval from VHR SAR imagery Based on an Iterative Simulation and Matching Procedure,
IEEE Transactions on Geoscience and Remote Sensing, Vol. 48, 2010, No. 3, Part 2, pp. 1487-1504.
C. Persello, L. Bruzzone,
A Novel Protocol for Accuracy Assessment in Classification of Very High Resolution Images,
IEEE Transactions on Geoscience and Remote Sensing, Vol. 48, 2010, No. 3, Part 1, pp. 1232 – 1244.
F. Bovolo, L. Bruzzone, L. Capobianco, A. Garzelli, S. Marchesi, F. Nencini,
Analysis of the Effects of Pansharpening in Change Detection on VHR Images,
IEEE Geoscience and Remote Sensing Letters, Vol. 7, 2010, No. 1, pp.53-57.
L. Gómez-Chova, G. Camps-Valls, L. Bruzzone, J. Calpe-Maravilla,
Mean Map Kernel Methods for Semisupervised Cloud Classification,
IEEE Transactions on Geoscience and Remote Sensing, Vol. 48, 2010, No. 1, pp. 207-220.
2009
M. Dalponte, N. Coops , L. Bruzzone, D. Gianelle,
Analysis of the Use of Multiple Returns LiDAR Data for the Estimation of Tree Stems Volume,
IEEE Journal on Selected Topics on Applied Remote Sensing, 2009, Vol. 2, No. 4, pp. 310-318.
Y. Bazi, F. Melgani, L. Bruzzone, G. Vernazza,
A Genetic Expectation-Maximization Method for Unsupervised Change Detection in Multitemporal SAR Imagery
International Journal of Remote Sensing, 2009, Vol. 30, No. 24, pp. 6591-6610.
S. Robinson, G. Basso, N. Soldati, U. Sailer, J. Jovicich, L. Bruzzone, I. Kryspin Exner, H. Bauer, and E. Moser,
A resting state network in the motor control circuit of the basal ganglia,
BMC Neuroscience , 2009, Vol. 10:137.
M. Dalponte, L. Bruzzone, L. Vescovo, D. Gianelle,
The role of spectral resolution and classifier complexity in the analysis of hyperspectral images of forest areas,
Remote Sensing of Environment, 2009, Vol. 113, No. 11, 2009, pp. 2345-2355.
L. Bruzzone, C. Persello,
A Novel Approach to the Selection of Spatially Invariant Features for the Classification of Hyperspectral Images With Improved Generalization Capability,
IEEE Transactions on Geoscience and Remote Sensing, 2009,Vol. 47, No. 9, 2009, pp. 3180 – 3191.
F. Bovolo, L. Bruzzone, S. Marchesi,
Analysis and Adaptive Estimation of the Registration Noise Distribution in Multitemporal VHR Images,
IEEE Transactions on Geoscience and Remote Sensing, Vol. 47, No. 8, 2009, pp. 2658-2671.
L. Bruzzone, C. Persello,
A Novel Context-Sensitive Semisupervised SVM Classifier Robust to Mislabeled Training Samples,
IEEE Transactions on Geoscience and Remote Sensing, Vol. 47, No. 7, 2009, pp. 2142-2154.
C. Mariz, D. Gianelle, L. Bruzzone, L. Vescovo,
Fusion of multi-spectral SPOT-5 images and very high resolution texture information extracted from digital orthophotos for automatic classification of complex Alpine areas,
International Journal of Remote Sensing, Vol. 30, No. 11, 2009, pp. 2859-2873.
D. Brunner, G. Lemoine, F.X. Thoorens, L. Bruzzone,
Distributed Geospatial Data Processing Functionality to Support Collaborative and Rapid Emergency Response,
IEEE Journal of Selected Topics in Applied Earth Observation and Remote Sensing, Vol. 2, No. 1, 2009, pp. 33-46.
M. Marconcini, G. Camps-Valls, L. Bruzzone,
A Composite Semisupervised SVM for Classification of Hyperspectral Images,
IEEE Geoscience and Remote Sensing Letters , Vol. 6, No. 2, 2009, pp. 234-238.
L. Bruzzone, M. Marconcini,
Toward an Automatic Updating of Land-Cover Maps by a Domain Adapatation SVM Classifier and a Circular Validation Strategy,
IEEE Transactions on Geoscience and Remote Sensing, Vol. 47, No. 4, 2009, pp. 1108-1122.
T.V. Bandos, L. Bruzzone, G. Camps-Valls,
Classification of Hyperspectral Images with Regularized Linear Discriminant Analysis,
IEEE Transactions on Geoscience and Remote Sensing, Vol. 47, No. 3, 2009, pp. 862-873.
N. Soldati, S. Robinson, C. Persello, J. Jovicich, L. Bruzzone,
Automatic Classification of Brain Resting States Using fMRI Temporal Signals,
IEE Electronic Letters , Vol. 45, No. 1, 2009, pp. 19-21.
F. Bovolo,
A Multilevel Parcel-Based Approach to Change Detection in Very High Resolution Multitemporal Images,
IEEE Geoscience and Remote Sensing Letters , Vol. 6, No. 1, 2009, pp. 33-37.
H.K. Ramapriyan, L. Di, L. Bruzzone,
Guest Editorial of the Special Issue on Data Archiving and Distribution,
IEEE Transactions on Geoscience and Remote Sensing, Vol. 47, No. 1, Part 1, 2009, pp. 17-18.
A. Plaza, J. A. Benediktsson, J. Boardman, J. Brazile, L. Bruzzone, G. Camps-Valls, J. Chanussot, M. Fauvel, P. Gamba, A. Gualtieri, M. Marconcini, J. C. Tilton, G. Trianni,
Recent Advances in Techniques for Hyperspectral Image Processing,
Remote Sensing of Environment , Vol. 113, Sup. 1, 2009, pp. S110-S122.
2008
M. Chi, R. Feng, L. Bruzzone,
Classification of Hyperspectral Remote Sensing Data with Primal Support Vector Machines,
Advances in Space Research , Vol. 41, No. 11, 2008, pp. 1793-1799.
G. Nollo, M. Marconcini, L. Faes, F. Bovolo, F. Ravelli, L. Bruzzone,
An Automatic System for the Analysis and the Classification of Human Atrial Fibrillation Patterns from Intracardiac Electrograms,
IEEE Transactions on Biomedical Engineering , Vol. 55, No. 9, 2008, pp. 2275-2285.
F. Bovolo, L. Bruzzone and M. Marconcini,
A Novel Approach to Unsupervised Change Detection Based on a Semisupervised SVM and a Similarity Measure,
IEEE Transactions on Geoscience and Remote Sensing, Vol. 46, No. 7, 2008, pp. 2070-2082.
M. Dalponte, L. Bruzzone, D. Gianelle,
Fusion of hyperspectral and LIDAR remote sensing data for the classification of complex forest areas,
IEEE Transactions on Geoscience and Remote Sensing, Vol. 46, No. 5, 2008, pp. 1416-1427.
M. Dalla Mura, J.A. Benediktsson, F. Bovolo, L. Bruzzone,
An Unsupervised Technique Based on Morphological Filters for Change Detection in Very High Resolution Images,
IEEE Geoscience and Remote Sensing Letters , Vol. 5, No. 3, 2008, pp. 433-437.
S. Inamdar, F. Bovolo, L. Bruzzone, S. Chaudhuri,
Multidimensional Probability Density Function Matching for Pre-processing of Multitemporal Remote Sensing Images,
IEEE Transactions on Geoscience and Remote Sensing, Vol. 46, No. 4, 2008, pp. 1243-1252.
M. Tyagi, F. Bovolo, A. K. Mehra, L. Bruzzone, S. Chaudhuri,
A Context-Sensitive Clustering Technique Based on Graph-Cut Initialization and Expectation-Maximization Algorithm,
IEEE Geoscience and Remote Sensing Letters , Vol. 45, No. 1, 2008, pp. 21-25.
2007
M. Dalponte, F. Bovolo, L. Bruzzone,
Automatic selection of frequency and time intervals for classification of EEG signals,
IEE Electronic Letters , Vol. 43, No. 25, 2007, pp. 1406-1408.
J. Muñoz-Marí, L. Bruzzone, G. Camps-Valls,
A Support Vector Domain Description Approach to Supervised Classification of Remote Sensing Images,
IEEE Transactions on Geoscience and Remote Sensing, Vol. 45, No. 8, 2007, pp. 2683-2692.
F. Bovolo, L. Bruzzone,
A Split-Based Approach to Unsupervised Change Detection in Large-Size Multitemporal Images: Application to Tsunami Damage Assessment,
IEEE Transactions on Geoscience and Remote Sensing, Vol. 45, No. 6, Part 1, 2007, pp. 1658-1670.
M. Chi, L. Bruzzone,
Semi-supervised Classification of Hyperspectral Images by SVMs Optimized in the Primal,
IEEE Transactions on Geoscience and Remote Sensing, Vol. 45, No. 6, Part 2, 2007, pp. 1870-1880.
M. Datcu, S. D’Elia, R. L. King, L. Bruzzone,
Introduction to the Special Section on Image Information Mining for Earth Observation Data,
IEEE Transactions on Geoscience and Remote Sensing, Vol. 45, No. 4, 2007, pp. 795-798.
S. Ghosh, L. Bruzzone, S. Patra, F. Bovolo, A. Ghosh,
A Novel Context-Sensitive Technique for Unsupervised Change Detection based on Hopfield Type Neural Networks,
IEEE Transactions on Geoscience and Remote Sensing, Vol. 45, No. 3, 2007, pp. 778-789.
F. Bovolo, L. Bruzzone,
A Theoretical Framework for Unsupervised Change Detection Based on Change Vector Analysis in Polar Domain,
IEEE Transactions on Geoscience and Remote Sensing, Vol. 45, No.1, 2007, pp.218-236.
Y. Bazi, L. Bruzzone, F. Melgani,
Image Thresholding Based on the EM Algorithm and the Generalized Gaussian Distribution,
Pattern Recognition , Vol. 40, No. 2, 2007, pp. 619-634.
2006
L. Bruzzone, M. Chi, M. Marconcini,
A Novel Transductive SVM for the Semisupervised Classification of Remote-Sensing Images,
IEEE Transactions on Geoscience and Remote Sensing, Vol. 44, No. 11, 2006, pp. 3363-3373.
L. Bruzzone, L. Carlin,
A Multilevel Context-Based System for Classification of Very High Spatial Resolution Images,
IEEE Transactions on Geoscience and Remote Sensing, Vol. 44, No. 9, 2006, 2587-2600.
A. Baraldi, V. Puzzolo, L. Bruzzone, P. Blonda, C. Tarantino,
A Automatic spectral rule-based preliminary mapping of calibrated Landsat TM and ETM+ images,
IEEE Transactions on Geoscience and Remote Sensing, Vol. 44, No. 9, 2006, pp. 2563-2586.
M.V. Joshi, L. Bruzzone, S. Chaudhuri,
A model-based approach to multiresolution fusion in remotely sensed images,
IEEE Transactions on Geoscience and Remote Sensing, Vol. 44, No. 9, 2006, 2549-2562.
A. Baraldi, L. Bruzzone, P. Blonda,
A Multiscale Expectation-Maximization Semisupervised Classifier Suitable for Badly Posed Image Classification,
IEEE Transactions on Image Processing , Vol. 15, No. 8, 2006, pp. 2208-2225.
Y. Bazi, L. Bruzzone, F. Melgani,
Automatic Identification of the Number and Values of Decision Thresholds in the Log-ratio Image for Change Detection in SAR Images,
IEEE Geoscience and Remote Sensing Letters , Vol. 3, No. 3, 2006, 349-353.
G. Camps-Valls, L. Bruzzone, J.L. Rojo-Alvarez, F. Melgani,
Robust Support Vector Regression for Biophysical Variable Estimation from Remotely Sensed Images,
IEEE Geoscience and Remote Sensing Letters , Vol. 3, No. 3, 2006, pp. 339-343.
M. Chi, L. Bruzzone,
An Ensemble-Driven k-NN Approach to Ill-Posed Classification Problems,
Pattern Recognition Letters , Vol. 27, No. 4, 2006, 301-307.
A. Baraldi, L. Bruzzone, P. Blonda, L. Carlin,
Badly-Posed Classification of Remotely Sensed Images – An Experimental Comparison of Existing Data Mapping Systems,
IEEE Transactions on Geoscience and Remote Sensing, Vol. 44, No. 1, 2006, pp. 214-235.
2005
F. Bovolo, L. Bruzzone,
A Detail-Preserving Scale-Driven Approach to Unsupervised Change Detection in Multitemporal SAR Images,
IEEE Transactions on Geoscience and Remote Sensing, Vol. 43, No. 12, 2005, 2963-2972.
R. Cossu, S. Chaudhuri, L. Bruzzone,
A Context-Sensitive Bayesian Technique for the Partially Supervised Classification of Multitemporal Images,
Geoscience and Remote Sensing Letters , Vol. 2, No. 3, 2005, pp. 352-356.
G. Camps-Valls, L. Bruzzone,
Kernel-based Methods for Hyperspectral Image Classification,
IEEE Transactions on Geoscience and Remote Sensing, Vol. 43, No. 6, 2005, 1351-1362.
A. Baraldi, L. Bruzzone, P. Blonda,
Quality assessment of classification and cluster maps without ground truth knowledge,
IEEE Transactions on Geoscience and Remote Sensing, Vol. 43, No. 4, 2005, pp. 857-873.
Y. Bazi, L. Bruzzone, F. Melgani,
An unsupervised approach based on the generalized Gaussian model to automatic change detection in multitemporal SAR images,
IEEE Transactions on Geoscience and Remote Sensing, Vol. 43, No. 4, 2005, 874-887.
M. Chi, L. Bruzzone,
A Semi-Labeled-Sample Driven Bagging Technique for Ill-Posed Classification Problems,
IEEE Geoscience and Remote Sensing Letters , Vol. 2, No. 1, 2005, pp. 69-73.
L. Bruzzone, F. Melgani,
Robust multiple estimator systems for the analysis of biophysical parameters from remotely sensed data,
IEEE Transactions on Geoscience and Remote Sensing, Vol. 43, No. 1, 2005, 159-174.
2004
L. Bruzzone, R. Cossu, G. Vernazza,
Detection of land-cover transitions by combining multidate classifiers,
Pattern Recogniton Letters , Vol. 25, No. 13, 2004, pp. 1491-1500.
L. Bruzzone, F. Melgani,
Classification of hyperspectral remote-sensing images with support vector machines,
IEEE Transactions on Geoscience and Remote Sensing, Vol. 42, No. 8, 2004, 1778-1790.
L. Bruzzone, M. Marconcini, U. Wegmuller, A. Wiesmann,
An advanced system for the automatic classification of multitemporal SAR images,
IEEE Transactions on Geoscience and Remote Sensing, Vol. 25, No. 13, 2004, pp. 1491-1500.
2003
L. Bruzzone, R. Cossu,
An Adaptive Approach for Reducing Registration Noise Effects in Unsupervised Change Detection,
IEEE Transactions on Geoscience and Remote Sensing, Vol. 41, No. 11, 2003, 2455-2465.
L. Bruzzone, P.C. Smits, J.C. Tilton,
Forward Special Issue on Analysis of Multitemporal Remote Sensing Images,
IEEE Transactions on Geoscience and Remote Sensing, Vol. 41, No. 11, 2003, pp. 2419-2422.
L. Bruzzone, S. Casadio, R. Cossu, F. Sini, C. Zehner,
A system for monitoring NO2 emissions from biomass burning by using GOME and ATSR-2 data,
International Journal of Remote Sensing, Vol. 24, No. 8, 2003, 1709-1721.
2002
L. Bruzzone, R. Cossu, G. Vernazza,
Combining parametric and non-parametric algorithms for a partially unsupervised classification of multitemporal remote-sensing images,
Information Fusion , Vol. 3, 2002, pp. 289-297.
L. Bruzzone, R. Cossu,
A multiple cascade-classifier system for a robust a partially unsupervised updating of land-cover maps,
IEEE Transactions on Geoscience and Remote Sensing, Vol. 40, No. 9, 2002, 1984-1996.
L. Bruzzone, D. Fernandez Prieto,
A partially unsupervised cascade classifier for the analysis of multitemporal remote-sensing images,
Pattern Recognition Letters , Vol. 23, No.9, 2002, pp. 1063-1071.
L. Bruzzone, D. Fernandez Prieto,
An adaptive semi-parametric and context-based approach to unsupervised change detection in multitemporal remote sensing images,
IEEE Transactions on Image Processing , Vol. 1, No. 4, 2002, 452-466.
G. Simone, A. Farina, F. Morabito, S.B. Serpico, L. Bruzzone,
Image fusion techniques for remote sensing applications,
Information Fusion , Vol. 3, No.1, 2002, pp. 3-15.
2001
S.B. Serpico, L. Bruzzone,
A new search algorithm for feature selection in hyperspectral remote sensing images,
IEEE Transactions on Geoscience and Remote Sensing, Vol. 39, No. 7, 2001, 1360-1367.
L. Bruzzone, D. Fernandez Prieto,
Unsupervised retraining of a maximum-likelihood classifier for the analysis of multitemporal remote-sensing images,
IEEE Transactions on Geoscience and Remote Sensing, Vol. 39, No.2, 2001, pp. 456-460.
2000
L. Bruzzone, D. Fernandez Prieto,
A minimum-cost thresholding technique for unsupervised change detection,
International Journal of Remote Sensing, Vol. 21, No. 18, 2000, 3539-3544.
L. Bruzzone, D. Fernandez Prieto,
Automatic analysis of the difference image for unsupervised change detection,
IEEE Transactions on Geoscience and Remote Sensing, Vol. 38, No.3, 2000, pp. 1171-1182
G. Giacinto, F. Roli, L. Bruzzone,
Combination of neural and statistical algorithms for supervised classification of remote-sensing images,
Pattern Recognition Letters , Vol. 21, No. 5, 2000, 385-397.
L. Bruzzone, D. Fernandez Prieto,
An adaptive parcel-based technique for unsupervised change detection,
International Journal of Remote Sensing, Vol. 21, No.4, 2000, pp. 817-822.
L. Bruzzone, S.B. Serpico,
A technique for feature selection in multiclass problems,
International Journal of Remote Sensing, Vol. 21, No. 3, 2000, 549-563.
L. Bruzzone,
An approach to feature selection and classification of remote-sensing images based on the Bayes rule for minimum cost,
IEEE Transactions on Geoscience and Remote Sensing, Vol. 38, No. 1, 2000, 429-438..
L. Bruzzone, D. Fernandez Prieto,
An incremental-learning neural network for the classification of remote-sensing images,
Pattern Recognition Letters , Vol. 20, No.11-13, 2000, pp. 1241-1248.
1999
L. Bruzzone, D. Fernandez Prieto, S.B. Serpico,
A neural-statistical approach to multitemporal and multisource remote-sensing image classification,
IEEE Transactions on Geoscience and Remote Sensing, Vol. 37, No. 3, 1999, 1350-1359.
L. Bruzzone, D. Fernandez Prieto,
A technique for the selection of kernel-function parameters in RBF neural networks for classification of remote-sensing images,
IEEE Transactions on Geoscience and Remote Sensing, Vol. 37, No.2, 1999, pp. 1179-1184.
1998
L. Bruzzone, S.B. Serpico,
A simple upper bound to the Bayes error probability for feature selection,
Kybernetika , Vol. 34, No. 4, 1998, 387-392.
L. Bruzzone, D. Fernandez Prieto,
Supervised training technique for radial basis function neural networks,
Electronics Letters , Vol. 34, No.11, 1998, pp. 1115-1116.
L. Bruzzone, F. Roli, S.B. Serpico,
Structured neural networks for signal classification,
Signal Proccessing , Vol. 64, No. 3, 1998, 271-290.
1997
L. Bruzzone, S.B. Serpico,
Detection of changes in remotely-sensed images by the selective use of multi-spectral information,
International Journal of Remote Sensing, Vol. 18, No.18, 1997, pp. 3883-3888.
L. Bruzzone, S.B. Serpico,
Classification of imbalanced remote-sensing data by neural networks,
Pattern Recognition Letters , Vol. 18, No. 11-13, 1997, 1323-1328.
L. Bruzzone, S.B. Serpico,
An iterative technique for the detection of land-cover transitions in multitemporal remote-sensing images,
IEEE Transactions on Geosceince and Remote Sensing, Vol. 35, No. 4, 1997, pp. 858-867.
L. Bruzzone, C. Conese, F. Maselli, F. Roli,
Multisource classification of complex rural areas by statistical and neural-network approaches,
Photogrammetic Engineering and Remote Sensing, Vol. 63, No. 5, 1997, 523-533.
1996
S.B. Serpico, L. Bruzzone, F. Roli,
An experimental comparison of neural and statistical non-parametric algorithms for supervised classification of remote-sensing images,
Pattern Recognition Letters , Vol. 17, No. 13, 1996, pp. 1331-1341.
L. Bruzzone, F. Roli, S.B. Serpico,
An extension of the Jeffreys-Matusita distance to multiclass cases for feature selection,
IEEE Transactions on Geoscience and Remote Sensing, Vol. 3, No. 6, 1995, pp. 1318-1321.
Journal Special Issues
Special Issue on “Recent Advances in Multitemporal Remote Sensing Data Processing”,
Eds: S. Liu, F. Bovolo, Francesca, L. Bruzzone, X. Tong, Q. Du
Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022.
Special Issue on “Change Detection Using Multi-Source Remotely Sensed Imagery”,
Eds: X. Huang, J. Li, F. Bovolo, Q. Wang
MDPI Remote Sensing Image Processing, 2019.
Special Issue on “Analysis of Multi-temporal Remote Sensing Images”,
Eds: F. Bovolo, G. Ferraioli, T. Celik
MDPI Remote Sensing Image Processing, 2018.
Special Issue on “Analysis of Multitemporal Remote Sensing Images”,
Eds: L. Bruzzone, B. Deronde; E. Swinnen
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 10, No. 12, 2018.
Special Issue on “Big Data from Space”,
Eds: P.G. Marchetti, P. Soille, L. Bruzzone
IEEE Geoscience and Remote Sensing Magazine, Vol. 4, No. 3, 2016.
Special Issue on “Analysis and Applications of Multitemporal Data”,
Eds: E. Trouvé, G. Mercier, M. Fauvel, L. Bruzzone, Y. Ban
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 9, No. 8, 2016.
Special Issue on “2015 IEEE International Geoscience and Remote Sensing Symposium”,
Eds: S.B. Serpico, V. Pascazio, L. Bruzzone, P. Gamba
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 9, No. 6, 2016.
Special Issue on “Pattern Recognition in Remote Sensing”,
Eds: Eds. Q. Du, E. Michaelsen, P. Du, L. Bruzzone, X. Tong, U. Stilla
IEEE Journal of Selected Topics in Applied Earth Observation and Remote Sensing, Vol. 12, No. 12, December 2014.
Special Issue on “Analysis of Multitemporal Remote Sensing Images”,
Eds: J.M. Piwowar, Y. Ban, G. McDermid, L. Bruzzone,
IEEE Journal of Selected Topics in Applied Earth Observation and Remote Sensing, Vol. 7, No. 8, August 2014.
Special Issue on “Analysis of Multitemporal Remote Sensing Data”,
Eds: F. Bovolo, L. Bruzzone, R.L. King
IEEE Transactions on Geoscience and Remote Sensing, Vol. 51, No. 4, Part 1, 2013, pp. 1867-2149.
Special Issue on “Special Section on the Fifth International Workshop on Multi-temporal Imagery Analysis”,
Eds: R.S. Lunetta, D.L. Civco, R.L. King, L. Bruzzone, J.G. Lyon
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 4, No. 2, 2011, pp. 249-500.
Special Issue on “Issue on Advances in Remote Sensing Image Processing”,
Eds: G. Camps-Valls, J.A. Benediktsson, L. Bruzzone, J. Chanussot
IEEE Journal of Selected Topics in Signal Processing, Vol. 5, No. 3, 2011, pp. 365-644.
Special Issue on “ Pattern Recognition in Remote Sensing”,
Eds: S. Aksoy, N.H. Younan, L. Bruzzone
Pattern Recognition Letters, Vol. 31, No. 10, 2010, pp. 1069-1206.
Special Issue on “Data Archiving and Distribution”,
Eds: H. K. Ramapriyan, L. Di, l. Bruzzone
IEEE Transactions on Geoscience and Remote Sensing, Vol. 47, No. 1, Part 1, 2009, pp. 1-188.
Special Section on “Image Information Mining for Earth Observation Data”,
Eds: M. Datcu, S. D’Elia, R.L. King, L. Bruzzone
IEEE Transactions on Geoscience and Remote Sensing, Vol. 45, No. 4, 2007, pp. 795-878.
Special Issue on the “Analysis of Multitemporal Remote Sensing Images”,
Eds: L. Bruzzone, P.C. Smits, J.C. Tilton
IEEE Transactions on Geoscience and Remote Sensing, Vol. 41, No. 11, 2003, pp. 2419-2594.
Edited Books
Analysis of Multitemporal Remote-Sensing Images,
Eds: L. Bruzzone, P.C. Smits, World Scientific Publishing Co.: Singapore, 2002.
ISBN: 981-02-4955-1, Book Code: 4997 hc, pp. 440.
Analysis of Multitemporal Remote-Sensing Images,
Eds: L. Bruzzone, P.C. Smits, World Scientific Publishing Co.: Singapore, 2004.
ISBN: 981-238-915-6, Book Code: 5582 hc, pp. 387.
Image and Signal Processing for Remote Sensing IX,
Ed: L. Bruzzone, Proceedings of SPIE Vol. 5238, SPIE, Bellingham, WA, USA; 2004.
ISBN: 0-8194-5121-5, ISSN 0277-786X, pp. 586.
Image and Signal Processing for Remote Sensing X,
Ed: L. Bruzzone, Proceedings of SPIE Vol. 5573, SPIE, Bellingham, WA, USA, 2004.
ISBN: 0-8194-5121-5, ISSN 0277-786X, pp. 586.
Image and Signal Processing for Remote Sensing XI,
Ed: L. Bruzzone, Proceedings of SPIE Vol. 5982, SPIE, Bellingham, WA, USA, 2005.
ISBN: 0-8194-6002-8, ISSN 0277-786X.
Image and Signal Processing for Remote Sensing XII,
Ed: L. Bruzzone, Proceedings of SPIE Vol. 6365, SPIE, Bellingham, WA, USA, 2006.
ISBN: 0-8194-6460-0, ISSN 0277-786X.
Image and Signal Processing for Remote Sensing XIII,
Ed: L. Bruzzone, Proceedings of SPIE Vol. 6748, SPIE, Bellingham, WA, USA, 2007.
ISBN: 978-0-8194-6906-9, ISSN 0277-786X.
Image and Signal Processing for Remote Sensing XIV,
Ed: L. Bruzzone, C. Notarnicola, F. Posa, Proceedings of SPIE Vol. 7109, SPIE, Bellingham, WA, USA, 2008.
ISBN: 978-0-8194-7340-0, ISSN 0277-786X.
Kernel Methods for Remote Sensing Data Analysis,
Ed: G. Camps-Valls and L. Bruzzone, John Wiley & Sons, Inc., 2009.
ISBN: 978-0-470-72211-4.
Image and Signal Processing for Remote Sensing XV,
Ed: L. Bruzzone, C. Notarnicola, F. Posa, Proceedings of SPIE Vol. 7109, SPIE, Bellingham, WA, USA, 2009.
ISBN: 978-0-8194-7782-8 , ISSN 0277-786X .
Image and Signal Processing for Remote Sensing XVI,
Ed: L. Bruzzone, Proceedings of SPIE Vol. 7109, SPIE, Bellingham, WA, USA, 2010.
ISBN: 978-0-8194-8347-8 , ISSN 0277-786X.
Proceedings of the 2011 6th International Workshop on the Analysis of Multi-temporal Remote Sensing Images (Multi-Temp),
Ed: L. Bruzzone, F. Bovolo, IEEE, 2011.
ISBN: 978-1-4577-1203-6
Image and Signal Processing for Remote Sensing XVII,
Ed: L. Bruzzone, Proceedings of SPIE Vol. 8180, SPIE, Bellingham, WA, USA, 2011.
ISBN: 978-0-8194-8807-7, ISSN 0277-786X.
Image and Signal Processing for Remote Sensing XVIII,
Ed: L. Bruzzone, Proceedings of SPIE Vol. 8537, SPIE, Bellingham, WA, USA, 2012.
ISBN: 978-0-8194-9277-7, ISSN 0277-786X.
Image and Signal Processing for Remote Sensing XIX,
Ed: L. Bruzzone, Proceedings of SPIE Vol. 8892, SPIE, Bellingham, WA, USA, 2013
ISBN: 978-0-8194-9761-1
Image and Signal Processing for Remote Sensing XX,
Ed: L. Bruzzone, J.A. Benediktsson, F. Bovolo, Proceedings of SPIE Vol. 9244, SPIE, Bellingham, WA, USA, 2014.
ISBN: 978-1-6284-1307-6, ISSN 0277-786X.
Image and Signal Processing for Remote Sensing XXI,
Ed: L. Bruzzone, Proceedings of SPIE Vol. 9643, SPIE, Bellingham, WA, USA, 2015.
ISBN: 978-1-6284-1853-8
Image and Signal Processing for Remote Sensing XXII,
Ed: L. Bruzzone, F. Bovolo, Proceedings of SPIE Vol. 10004, SPIE, Bellingham, WA, USA, 2016.
ISBN: 978-1-5106-0412-4
Image and Signal Processing for Remote Sensing XXIII,
Ed: L. Bruzzone, F. Bovolo, Proceedings of SPIE Vol. 10427, SPIE, Bellingham, WA, USA, 2017.
ISBN: 978-1-5106-0412-4
Image and Signal Processing for Remote Sensing XXIV,
Ed: L. Bruzzone, F. Bovolo, Proceedings of SPIE Vol. 10789, SPIE, Bellingham, WA, USA, 2018.
ISBN: 978-1-5106-0412-4
Image and Signal Processing for Remote Sensing XXV,
Ed: L. Bruzzone, F. Bovolo, Proceedings of SPIE Vol. 11155, SPIE, Bellingham, WA, USA, 2019.
ISBN: 978-1-5106-0412-4
Image and Signal Processing for Remote Sensing XXVI,
Ed: L. Bruzzone, F. Bovolo, E. Santi, Proceedings of SPIE Vol. 11533, SPIE, Bellingham, WA, USA, 2020.
ISBN: 978-1-5106-3879-2
Image and Signal Processing for Remote Sensing XXVII,
Ed: L. Bruzzone, F. Bovolo, Proceedings of SPIE Vol. 11862, SPIE, Bellingham, WA, USA, 2021.
ISBN: 978-1-5106-4568-4
Change Detection and Image Time Series Analysis 1 – Supervised Methods,
Ed: A. Atto, F. Bovolo, L. Bruzzone, SCIENCES – Image, ISTE-WILEY Science, 2022.
ISBN: 978-1-7894-5056-9
Change Detection and Image Time Series Analysis 2 – Unupervised Methods,
Ed: A. Atto, F. Bovolo, L. Bruzzone, SCIENCES – Image, ISTE-WILEY Science, 2022.
ISBN: 978-1-7894-5057-6
Image and Signal Processing for Remote Sensing XXVIII,
Ed: L. Bruzzone, F. Bovolo, N. PIerdicca, Proceedings of SPIE Vol. 12267, SPIE, Bellingham, WA, USA, 2022.
ISBN: 978-1-5106-5537-9
Book Chapters
L. Bergamasco, F. Bovolo
Change Detection in SAR Images Using Deep Learning Methods,
in ESynthetic Aperture Radar (SAR) Data Applications. Springer Optimization and Its Applications, Eds. Rysz, M., Tsokas, A., Dipple, K.M., Fair, K.L., Pardalos, P.M. , Springer, Cham, 2022.
DOI 10.1007/978-3-031-21225-3_2
D. Marinelli, F. Bovolo, L. Bruzzone
Hyperspectral Remote Sensing,
in Encyclopedia of Mathematical Geosciences. Encyclopedia of Earth Sciences Series, Eds. B. Daya Sagar, Q. Cheng, J. McKinley, F. Agterberg, Springer, Cham, 2021.
DOI 10.1007/978-3-030-26050-7_155-1
M. Zanetti, F. Bovolo, L. Bruzzone
Statistical Difference Models for Change Detection in Multispectral Images,
in Change Detection and Image Time-Series Analysis, Eds. A. Atto, L. Bruzzone, F. Bovolo, ISTE-WILEY Science, Ch. 9, pp. 223-274, 2021.
DOI