A new change detection algorithm for SAR images

Speckle noise of Synthetic aperture radar (SAR) image and the azimuth sensitivity for imaging obstruct the interpretation and applications for SAR images. But it is very much remote sensing source because it can acquire data under all-day and all weather. Texture features reflect the spatial property of ground objects. If texture features change, in general the ground object does so. Therefore, this paper deep analyzes SAR image texture feature and proposes a new multi-temporal SAR image change detection algorithm, which is called by texture features fusion voting (TFFV) algorithm. Finally, the airborne SAR image data tests the method and experimental results indicate that the presented methods are feasible.