CHANGE MECHANISM ANALYSIS AND INTEGRATION CHANGE DETECTION METHOD ON SAR IMAGES

摘要

Synthetic aperture radar (SAR) image change detection is a very complex problem like SAR imaging mechanism. Every change detection method has its advantage and disadvantage, and there are no optimal change detection approaches. If general means is directly applied to SAR image change detection, the results are usual no ideal. Sometimes, for a pair of multitemporal SAR images, different detection methods can obtain different detected results; what's more, the results are contrary. In order to improve SAR image change detection precision, this paper detailedly studies SAR image change mechanism, makes classifications to SAR image change types, and proposes a novel all texture features fusion change detection method and an integration SAR image change detection algorithm. Finally, the airborne SAR image data of Canadian Convair-580 C/X-SAR tests the methods, and experimental results indicate that the presented methods are feasible.