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Image Processing and Analysis

Automatic Classification

Analysis of Multitemporal Images

Regression and Estimation

Applications

  • Forestry
  • Agriculture
  • Damage Assessment
  • Urban area analysis
  • Building Detection
  • Risk assessment
  • Vegetation monitoring
  • Water quality
  • Snow and ice
  • Climatic changes
Image Processing and Analysis

  • Hyerarchical multilevel segmentation
  • Multiscale/multilevel feature extraction
  • Texture extraction
  • Image denoising
Automatic Classification

  • Statistical methods
  • Machine learning (neural networks, support vector machine, ect)
  • Kernel methods
  • Semisupervised classification
  • Domain adaptation and active learning methods
  • Advanced multiscale feature extraction for VHR image classification
  • Feature selection and classification of hyperspectral images
  • Accuracy assessment in VHR classification maps
  • Classification of SAR signals
Analysis of Multitemporal Images

  • Registration of multitemporal images
  • Modeling and mitigation of registration noise
  • Analysis and classification of multi- and hyper-temporal data
  • Change detection in medium and very high resolution SAR images
  • Change detection in medium and very high resolution Multispectral images
  • Change detection in medium and very high resolution Hyperspectral images
Regression and Estimation

  • Model based regression methods
  • Regression based on machine learning techniques
  • Biophysical parameters estimation