Scene matching algorithm for SAR images based on SIFT features
Shaoming Zhang · Journal of Computer Applications · 2008
According to the characteristic of Synthetic Aperture Radar(SAR) images,a new scene matching algorithm for SAR images based on Scale Invariant Feature Transform(SIFT) features was proposed.Firstly,SIFT keypoints of realtime images and reference images were extracted efficiently using improved SIFT feature descriptor.Then ratio of distance and Random Sample Consensus(RANSAC) were performed to guarantee the stability of matching points.Finally,transformation parameters between realtime and reference images were computed by reliable matching points.The experimental results demonstrate that our approach is fast,reliable,efficient and robust.