Multi-polarization SAR change detection with invariant decision rules

This paper deals with coherent multi-polarization SAR change detection assuming the availability of reference and test images collected from N multiple polarimetric channels. At the design stage, the change detection problem is formulated as a binary hypothesis testing problem and the principle of invariance is used to come up with decision rules sharing the Constant False Alarm Rate (CFAR) property. A class of suboptimum invariant receivers, which also includes the Generalized Likelihood Ratio Test (GLRT), is considered. Detection maps on real high resolution SAR data are computed showing the effectiveness of the considered invariant decision structures.