Change detection method using a new difference image for remote sensing images

In this paper, a change detection method using a new difference image is proposed. The spatial position of pixels in neighborhood is considered to generate the new difference image, where the unchanged class pixels can be preferably modeled by Gaussian distribution. The Kittler and Illingworth threshold algorithm is used to perform the final change detection results. Experimental results on multi-temporal remote sensing images confirm the effectiveness of the proposed method.