A novel SAR image precise-matching method based on SIFT algorithm
Wenwen Yan, Bin Li, Dekun Yang, Jinwen Tian, Qiong Yu · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2013
As for SAR image, it has a relatively great geometric distortion, and contains a lot of speckle noise. So a lot of research has been done to find a good method for SAR image matching. SIFT (Scale Invariant Feature Transform) has been proved to a good algorithm for the SAR image matching. This operator can dispose of matching problem such as rotation, affine distortion and noise. In this passage, firstly, in the preprocessing process, we use BM3D to denoise the image which can perform well comparing to other denoise method. Then, regardless of traditional SIFT-RANSAC method, SIFT-TC is used to complete image matching. By using this method, the image matching is proved to have better predominance in the matching efficiency, speed and robustness.