Change detection with synthetic aperture radar images by Wilcoxon statistic likelihood ratio test

Abstract : This paper considers change detection with multitemporal synthetic aperture radar (SAR) images. A novel statistical approach is developed that formulates the detection of changes between two coregistered SAR images acquired at different dates as a non-parametric local-window hypothesis testing problem. This approach takes into account the simultaneous testing of a large amount of similar hypotheses (i.e., one Wilcoxon test at each pixel of the image), and is based on a likelihood ratio test to obtain a detection map at the pixel level. Some encouraging detection results are obtained on XSAR and very high resolution COSMO-SkyMed images.
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Communication dans un congrès
IEEE International Conference on Image Processing 2012, Sep 2012, Orlando, United States. 2012
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https://hal.inria.fr/hal-00724284
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  • HAL Id : hal-00724284, version 1

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Vladimir Krylov, Gabriele Moser, Aurélie Voisin, Sebastiano Serpico, Josiane Zerubia. Change detection with synthetic aperture radar images by Wilcoxon statistic likelihood ratio test. IEEE International Conference on Image Processing 2012, Sep 2012, Orlando, United States. 2012. 〈hal-00724284〉

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