Change Detection with Multi-Polarization SAR Imagery

In this paper, change detection with multi-polarization SAR imagery is focused. Based on the polarimetric statistic distribution, a polarimetric test statistic is applied to evaluate the equality of two areas in two pass polarimetric SAR images. And then, in order to find out the `real´ changed area, a constant false alarms rate (P_fa) is given to determine a threshold for change detection. Moreover, a majority processing considering the context information of a given target is preferred to improving the final accuracy of the change detection. Finally, the proposed method was tested with the multitemporal Envisat-ASAR´s alternative polarization SAR data. Experiments are performed to validate efficiency of the method presented in the paper.