Abstract

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 methods directly perform SAR image change detection, it can not obtain the satisfied results. Sometimes, for a pair of multi-temporal 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 studies SAR image change mechanism in detail and represents the change types of SAR images. The new integrative change detection algorithm is proposed, and the real SAR image data tests the methods.

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