Object-oriented change detection of multi-polarization SAR images based on unitemporal image segmentation

Object-oriented change detection is to detect change by comparing the features of image objects. Its key is how to describe the images at two temporal phases with the same segmentation boundries in order to realize the one to one comparision between the two sets of segments from two different images. In this paper, the authors put forward a novel change detection method based on unitemporal image segmentation. This method can well address this problem even without the GIS auxiliary data, and performance well in the change detection of fully polarimetric SAR images.