V. Krylov, G. Moser, A. Voisin, S. B. Serpico, J. Zerubia.
"Change detection with synthetic aperture radar images by Wilcoxon statistic likelihood ratio test",
IEEE International Conference on Image Processing 2012,
Proc. of IEEE ICIP 2012, pp. 2093-2096, Orlando (USA), September 30 - October 3, 2012.
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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.
Bibtex
@INPROCEEDINGS{KrylovICIP12,
author = {Krylov, V. and Moser, G. and Voisin, A. and Serpico, S. B. and Zerubia, J.},
title = {Change detection with synthetic aperture radar images by {W}ilcoxon statistic likelihood ratio test},
year = {2012},
booktitle = {Proc. of IEEE ICIP},
address = {Orlando, USA},
pages = {2093--2096}
}