The Study of SAR Image Change Detection Algorithm Based on the Difference Graph Fusion

摘要

SAR image change detection technology is the two picture in the same area, the different time periods for SAR image detection, quantitative and qualitative analysis of the change area, thereby gaining interest area change a technology of information. SAR image change detection technology is of great importance in social, economic, environmental, agricultural and military fields. Based on difference image and ratio image change detection in the complementary, with average filtering fusion ratio difference and median filtering the graph method, k-means clustering algorithm for classifier are in, get change regional integrity and background noise resistance are good change detection results. The experimental results of SAR image change verify the effectiveness of this algorithm.