Texture and Intensity Fusion based SAR Image Change Detection

Due to the coherent imaging method of the SAR system, SAR images are always accompanied by multiplicative speckle. Therefore, it makes the change detection based on SAR images are challenging. Aiming at the problem of the construction and the analysis of the difference image in SAR change detection, we propose a new SAR image change detection algorithm. In this method, the texture information and intensity information of difference image are fused adaptively according to the Bayesian formula and the local consistency evaluation. In the experiments, two real SAR image sets are used for performance analysis, from which the proposed method shows a better performance.