Change detection of polarimetric SAR images applied to specific land cover type

In this paper, we will propose a novel PolSAR change detection method applied to specific land cover type, i.e., from class ω_i to class ω_j. Firstly, a new distance measure is derived to extract the difference map belonging to the specified change. Then, Kittler and Illingworth (KI) minimum error threshold segmentation method is applied to obtain the binary change mask. Two Radarsat-2 fully polarimetric images in Suzhou city, China, acquired on April 9, 2009 and June 15, 2010 separately, are used for our experiment. It is shown that the proposed change detection method will give a good performance to achieve the specified change areas of PoSAR images.