3 November 2010 SAR change detection using Rayleigh copula
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Abstract
SAR change detection techniques have proved to be a precious tool for damaged areas rapid mapping especially after natural disasters. In case of similar acquisition modalities, general framework uses SAR images local statistics to extract efficient change measures. Recent works propose a new technique adapted to different sensors, acquisition modalities or climatic conditions. This technique is based on projecting the statistics of the first image to the acquisition conditions of the second image using the copula theory modelled by a quantile regression. However, this is done without considering the SAR texture behaviour which follows a Rayleigh distribution. In this paper, we present a new method adapted to heterogeneous SAR images. A new copula has been constructed starting fromtwo marginal Rayleigh distributions. Then usual Kullback Leibler (KL) based comparisons are used to validate the proposedmethod and shows its suitability to SAR images. Different climatic conditions ENVISAT SAR images are used to highlight the performances of this technique.
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S. Hachicha, F. Chaabene, "SAR change detection using Rayleigh copula", Proc. SPIE 7858, Remote Sensing of the Coastal Ocean, Land, and Atmosphere Environment, 78581F (3 November 2010); doi: 10.1117/12.870023; https://doi.org/10.1117/12.870023
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