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Source separation in hyperspectral imagery
The thesis presents new techniques for classification and unmixing of hyperspectral remote sensing data. The main issues connected to this kind of data (in particular... -
Multi-spectro temporal analysis of hyperspectrale imagery based on 3-D spectr...
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Unsupervised methods for the classification of hyperspectral images with low ...
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Sparsity and morphological diversity for hyperspectral data analysis
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VST-based Lossy Compression of Hyperspectral Data for New Generation Sensors
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Classification of remote sensing imagery with high spatial resolution
Classification of high resolution remote sensing data from urban areas is investigated. The main challenge in classification of high resolution remote sensing image... -
A Combined Support Vector Machines Classification Based on Decision Fusion
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Non-parametric Bayesian framework for detection of object configurations with...
International audience
