Use of topographic information to improve a land cover classification. Preliminary Results

Abstract : In this paper, we propose a scheme for a land cover classification process from satellite images, with inclusion of topographic effects (elevation) available from a digital elevation model. First, we study and analyse errors provided from the relief on an available non-topographic classification image. We then present a classification process which takes into account, for each land cover type, the non-unicity of reflectance values according to the elevation. We build a new topographic classification, whose results and their analysis are presented
Type de document :
Communication dans un congrès
Proceedings of the International Conference on Image Processing (ICIP), Oct 2001, Thessaloniki, Greece. IEEE, 1, pp.842-845, 2001, 〈10.1109/ICIP.2001.959177〉
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https://hal.inria.fr/inria-00532755
Contributeur : Brigitte Briot <>
Soumis le : jeudi 4 novembre 2010 - 13:44:09
Dernière modification le : vendredi 25 mai 2018 - 12:02:05

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Nadjia Benblidia, Fabien Lahoche, Isabelle Herlin. Use of topographic information to improve a land cover classification. Preliminary Results. Proceedings of the International Conference on Image Processing (ICIP), Oct 2001, Thessaloniki, Greece. IEEE, 1, pp.842-845, 2001, 〈10.1109/ICIP.2001.959177〉. 〈inria-00532755〉

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