Aiming at reliable registration of remote sensing images,the authors present in this paper a remote sensing image registration method based on improved ORB (oriented brief) algorithm. The proposed method mainly includes three stages:The first stage is feature matching, the improved ORB algorithm is used to detect features and build descriptors,and the descriptors are matched to obtain initial control points. The second stage is to employ RANSAC (random sample consensus) processing via transformation parameters estimation to remove possible wrong matching points. The third stage is to rectify the image based on the transformation parameters calculated by the least square method. The proposed method is evaluated based on two sets of optical and SAR remote sensing images,and is compared with the registration methods based on SIFT and SURF algorithm. The results show that the method proposed in this paper can provide the same accurate remote sensing image registration result as or even the higher result than the methods based on SIFT and SURF algorithm,and can obtain improved efficiency.
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