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Des données brutes raster à l'information vectorielle : processus complet de modélisation des données diffuses

Abstract : This report is a synthesis of my exprience as lecturer and researcher at the University of French West Indies from September 2002 to Septembre 2011. It details my research, supervision and administrative activities with more details given to my research contributions. The application used as a support for each contribution is the classification and representation of Guadeloupean forests. My research topics are organized in a framework allowing converting raw raster data into vectorial information. It is composed of three main parts, the first one deals with information extraction from satellite images and siccessively presents hybrid color spaces choice, image fusion with different spatial and spectral resolutions, color and texture feature extraction, feature selection and classificaiton in a raster way. The second part of the framework is turned to vectorial information modeling and representation. We successively present the definition of a dictionary, a vectorial classification, the definition of a fuzzy vectorial model and the definition of a semantic layer. Finally, the third part of the framework deals with information exploitation through an optimization of the information and raster-vector cooperation algorithm.
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https://hal.archives-ouvertes.fr/tel-01931767
Contributor : Enguerran Grandchamp <>
Submitted on : Sunday, December 30, 2018 - 8:14:38 PM
Last modification on : Friday, January 11, 2019 - 1:18:31 AM
Document(s) archivé(s) le : Sunday, March 31, 2019 - 12:21:27 PM

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  • HAL Id : tel-01931767, version 1

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Grandchamp Enguerran. Des données brutes raster à l'information vectorielle : processus complet de modélisation des données diffuses. Traitement des images [eess.IV]. Université des Antilles et de la Guyane, 2011. ⟨tel-01931767⟩

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