GLRT based scale-invariant multipolarization SAR change detection

Abstract

The problem of coherent multi-polarization SAR change detection assuming the availability of image pairs, collected from N multiple polarimetric channels, is addressed in this paper. At the design stage, it is assumed that the reference and test images from the same polarimetric channel may exhibit a power mismatch. The change detection problem is formulated as a binary hypothesis testing problem, the principle of invariance is used to obtain the maximal invariant statistic, and the Generalized Likelihood Ratio Test (GLRT) is exploited to form a scale-invariant Constant False Alarm Rate (CFAR) decision rule. Results on real high resolution SAR data are provided that show the effectiveness of the proposed scale-invariant decision structures.