A contrast equalization procedure for change detection algorithms: applications to remotely sensed images of urban areas

Alexandre Fournier 1 Pierre Weiss 1 Laure Blanc-Féraud 1 Gilles Aubert 2
1 ARIANA - Inverse problems in earth monitoring
CRISAM - Inria Sophia Antipolis - Méditerranée , Laboratoire I3S - SIS - Signal, Images et Systèmes
2 JAD - Laboratoire Jean Alexandre Dieudonné
Abstract : We propose an algorithm that equalizes the contrast of grayscale image pairs to simplify the task of change detection. To ensure robustness of the detection under different illumination conditions, some authors recently proposed algorithms that compare the level lines of the images. We show - using ideas from the “shape from shading” community - that under directed light, a necessary condition for the level lines to be illumination invariant is that the underlying surfaces be developable. The surfaces of cities can be modeled as piecewise smooth developable surfaces, and it is therefore sensible to make use of the level lines for change detection. Our algorithm is robust and efficient both on synthetic OpenGL scenes and natural Quickbird images.
Mots-clés : illumination developpable surfaces change detection level lines level sets
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Communication dans un congrès
International Conference on Pattern Recognition, Dec 2008, Tampa, United States. pp.1-4, 2008
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Alexandre Fournier, Pierre Weiss, Laure Blanc-Féraud, Gilles Aubert. A contrast equalization procedure for change detection algorithms: applications to remotely sensed images of urban areas. International Conference on Pattern Recognition, Dec 2008, Tampa, United States. pp.1-4, 2008. 〈inria-00307727〉

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