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Détection et classification de changements sur des scènes urbaines en télédétection

Alexandre Fournier 1
1 ARIANA - Inverse problems in earth monitoring
CRISAM - Inria Sophia Antipolis - Méditerranée , Laboratoire I3S - SIS - Signal, Images et Systèmes
Abstract : This thesis addresses the problem of change detection on remotely sensed urban scenes. experiences were run on couples of high resolution (<1m) panchromatic satellite images. Through this general theme, different problems, corresponding to different levels of a processing chain were addressed, from the determination of a change mask to an object level reasoning. In this work, we first address the problem of determining a change mask. We study the assets and limits of a change detection algorithm based on a Principal Component Analysis. We then propose a new algorithm that relies on the invariance of the level lines. It is based on a simple illumination model and some hypotheses on the scene regularity. Then we address the classification of the zones detected as changed during our first step. This is done by only considering the radiometries of each pixel couple. Finally, we study the interest of a geometric component in our classification. More precisely, we apply a polygonal approximation algorithm on the connected zones generated by the first classification, then we classify the obtained shapes according to the orientations of the polygon edges.
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Submitted on : Friday, March 12, 2010 - 7:24:34 PM
Last modification on : Monday, October 12, 2020 - 10:30:13 AM
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  • HAL Id : tel-00463593, version 1



Alexandre Fournier. Détection et classification de changements sur des scènes urbaines en télédétection. Interface homme-machine [cs.HC]. Institut Supérieur de l'Aéronautique et de l'Espace, 2008. Français. ⟨tel-00463593⟩



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