Overview of SAR Image Change Detection

Compared with the traditional optical remote sensing imaging, SAR imaging has the advantages of all-weather and round-the-clock. Therefore, it becomes important data source in change detection. SAR image change detection has been widely used in urban construction, disaster assessment, crop growth, environmental monitoring, and so on. In this paper, the process of SAR change detection is introduced first. Then we introduce the generation of the traditional SAR difference image and fusion difference image and mainly analyze the difference image from four aspects to obtain the detection, which include feature, threshold, clustering, and deep learning. Finally, some typical methods are simulated, and their accuracy is evaluated.