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Analysis of high dimensional remote sensing images using sparse learning models

Dechesne, Clément Analysis of high dimensional remote sensing images using sparse learning models. (2014) [Mémoire]

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Abstract

In the current context of sustainable development, the study of the state and evolution of landscapes is a major challenge to understand and solve environmental problems. The research on the relationship between ecological processes and spatial patterns aims to understand how the configuration and composition of the landscape affect biodiversity. To address these questions, it is necessary to have a detailed mapping of the elements that make up the landscape. "Detailed" means that it is important to get a map at several levels : for a forest, it is necessary to map the tree species and dead timber on the ground. Another example can be given for the meadows (see figure 1), where the type (permanent, temporary ...) and the composition are spatial variables to extract.../...

Item Type:Mémoire
ProdINRA Id:457119
Uncontrolled Keywords:
Institution:French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Institut National Polytechnique de Toulouse - INPT (FRANCE)
French research institutions > Institut National de la Recherche Agronomique - INRA (FRANCE)
Laboratory name:
Research Director:
Fauvel, Mathieu
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Deposited By: INRA INRA
Deposited On:07 Feb 2019 14:22

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