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International journals
2017
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, in press, 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, in press, 2017.
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
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, in press 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, in press 2016.
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, In press, 2016.
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, In press, 2016.
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
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
B. Demir, L. Bruzzone
Hashing Based Scalable Remote Sensing Image Search and Retrieval in Large Archives,
IEEE Transactions on Geoscience and Remote Sensing, In press, 2015.
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.
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
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, 2015, pp. 467 – 480.
DOI 10.1109/TGRS.2014.2324016
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]
Read it online
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 in Pattern 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.
Special Issues
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
Book Chapters
B. Aiazzi, F. Bovolo, L. Bruzzone, A. Garzelli, D. Pirrone, C. Zoppetti
Change Detection in Multitemporal Images Through Single and Multi-scale Approaches,
in Mathematical Models for Remote Sensing Image Processing, Eds: J. Zerubia and G. Moser, Springer Verlag, in press.
L. Bruzzone, B. Demir, F. Bovolo
Recent Advances in Remote Sensing Time Series Image Classification,
in Pattern Recognition and Big Data , Eds: A. Ban and S. Pal, World Scientific, in press.
L. Bruzzone, S. Liu, F. Bovolo, P. Du
Change Detection in Multitemporal Hyperspectral Images,
in Multitemporal Remote Sensing: Methods and Applications, Eds: Y. Ban, Springer Verlag, Chapter 4, 2016, pp. 63-88.
L. Bruzzone, C. Marin, F. Bovolo
Damage Detection in Built-Up Areas Using SAR Images,
in Encyclopedia of Earthquake Engineering, Eds: M. Beer, E. Patelli, I. Kougioumtzoglou and I. Siu-Kui Au, Springer Verlag, 2014, pp. 1-30.
L. Bruzzone, B. Demir
A Review of Modern Approaches to Classification of Remote Sensing Data,
in Land Use and Land Cover Mapping Europe, Practices and Trends, Eds: I. Manakos, M. Braun, EARSeL Book Series, Springer Verlag, Chapter 9, 2014, pp. 127-143.
L. Bruzzone, C. Persello, B. Demir
Active Learning Methods in Classification of Remote Sensing Images,
in Signal and Image Processing for Remote Sensing, 2nd Edition, Ed: Prof. C.H. Chen, CRC Press – Taylor & Francis, Chapter 15, 2012, pp. 303-323.
L. Bruzzone, S. Marchesi, F. Bovolo
Change Detection in VHR Multispectral Images: Estimation and Reduction of Registration Noise Effects,
in Optical Remote Sensing – Advances in Signal Processing and Exploitation Techniques, Ed: S. Prasad, L. Mann Bruce, J. Chanussot, Springer Verlag, Chapter 13, 2011, pp. 269-299.
M. Dalla Mura, J.A. Benediktsson, J. Chanussot, L. Bruzzone
The Evolution of the Morphological Profile: from Panchromatic to Hyperspectral Images,
in Optical Remote Sensing – Advances in Signal Processing and Exploitation Techniques, Ed: S. Prasad, L. Mann Bruce, J. Chanussot, Springer Verlag, Chapter 8, 2011, pp. 123-146.
L. Bruzzone and C. Persello
Approaches based on Support Vector Machines to Classification of Remote Sensing Data,
in Handbook of Pattern Recognition and Computer Vision, vol. 4, Ed: C.H. Chen, World Scientific, Chapter 3.2, 2009, pp. 329-352.
L. Gomez-Chova, J. Calpe-Maravilla, L. Bruzzone, and G. Camps-Valls,
Mean Kernels for Semi-supervised Remote Sensing Image Classification,
in Kernel Methods for Remote Sensing Data Analysis , Ed: G. Camps-Valls and L. Bruzzone, John Wiley & Sons, Inc., Chapter 10, 2009, 222-246.
M. Marconcini, and L. Bruzzone,
A Domain Adaptation SVM and a Circular Validation Strategy for Updating Land-Cover Maps,
in Kernel Methods for Remote Sensing Data Analysis , Ed: G. Camps-Valls and L. Bruzzone, John Wiley & Sons, Inc., Chapter 9, 2009, 195-222.
M. Dalponte, D. Gianelle, L. Bruzzone,
Use of hyperspectral and LIDAR data for classification of complex forest areas,
in Canopy Analysis and Dynamics of a Floodplain Forest , Centro Nazionale per lo studio e la conservazione della Biodiversita’ Forestale, 2007.
L. Bruzzone, M. Chi, M. Marconcini,
Semisupervised Support Vector Machines for Classification of Hyperspectral Remote Sensing Images,
in Hyperspectral Data Exploitation: Theory and Applications , Ed: C-I. Chang, John Wiley & Sons, Inc., ISBN: 978-0-471-74697-32007, Chapter 11, pp. 275-311.
L. Bruzzone, L. Gomez-Chova, M. Marconcini, and G. Camps-Valls,
Hyperspectral Image Classification with Kernels,
in Kernel methods in Bioengineering, Communications and Image Processing, , Ed: G. Camps-valls, J. Luis Rojo-Álvarez, M. Martínez-Ramón, Idea Group Inc., 2006, Chapter 17, pp. 374-398 .
F. Bovolo, L. Bruzzone,
Unsupervised change detection in multitemporal SAR images,
in Image Processing for Remote Sensing, , Ed: C.H. Chen, CRC Press – Taylor & Francis, Chapter 5, 2008, pp. 107-134.
L. Bruzzone, F. Bovolo,
Unsupervised change detection in multitemporal SAR images,
in Signal and Image Processing for Remote Sensing, , Ed: C.H. Chen, CRC Press – Taylor & Francis, ISBN: 0-8493-5091-7, Chapter 17, 2006, pp. 373-400.
L. Bruzzone, F. Melgani,
Support Vector Machines for Classification of Hyperspectral Remote-Sensing Images in Multiclass Problems,
in Analysis and Classification of Remotely Sensed Hyperspectral Images, , Ed: G. Corsini Pisa: Edizioni ETS, 2004, pp. 60-70.
L. Bruzzone, R. Cossu,
Advanced classification techniques: partially supervised approaches,
in Frontiers of Remote Sensing Information, , Ed: C.H. Chen, World Scientific Publishing Co. Pte.Ltd., Singapore, 2003, pp. 285-314.
L. Bruzzone, R. Cossu,
Analysis of Multitemporal Remote-Sensing Images for Change Detection: Bayesian Thresholding Approaches,
in Geospatial Pattern Recognition, , Eds: E. Binaghi, P.A. Brivio, S.B. Serpico, Research Signpost/Transworld Research, Kerala, India, Chapter 15, 2002, pp. 319-336.
S.B. Serpico, L. Bruzzone,
Change detection,
in Information Processing for Remote Sensing, , Eds: C.H. Chen, World Scientific Publishing Co.: Singapore, Chapter 15, 1999, pp. 319-336.
S.B. Serpico, L. Bruzzone, F. Roli,
Classification of remotely sensed images by the neural-network approach – An experimental comparison,
in Soft Computing in Remote Sensing Data Analysis, , Eds: E. Binaghi, P.A. Brivio & A. Rampini, (Series in Remote Sensing, Vol. 1, Series Editor: Arthur P. Cracknell (Univ. Dundee)), Singapore: World Scientific, 1996, pp. 27-32.