Mathematical Models for Remote Sensing Image Processing

Mathematical models and methods for remote sensing image analysis: an introduction.- Models for hyperspectral image analysis: from unmixing to object-based classi?cation.- Very high spatial resolution optical imagery: tree-based methods and multi-temporal models for mining and analysis.- Very high resolution and interferometric SAR: Markovian and patch-based non-local mathematical models.- Polarimetric SAR modelling: Mellin kind statistics and time-frequency analysis.- Remote sensing data fusion: guided ?lter-based hyperspectral pansharpening and graph-based feature-level fusion.- "Remote sensing data fusion: Markov models and mathematical morphology for multisensor, multiresolution, and multiscale image classi?cation.- Change detection in multitemporal images through single-and multi-scale approaches.- Satellite image time series: mathematical models for data mining and missing data restoration.- Advances in kernel machines for image classification and biophysical parameter retrieval.

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• Matemática para engenheiros
• Engenharia electrónica
• Processamento de sinais
• Modelação matemática
• Laser física
• Sistemas de informação geográfica (GIS) e observação remota

Aerial imagery;Image processing;Mathematical modelling;Remote Sensing;Satellite imagery;remote sensing/photogrammetry