Remote Sensing Image Registration Based on SIFT and the Distance Between Generalized Tight Pair-wise Prototypes
Lu H · Yaogan jishu yu yingyong · 2007
SIFT(Scale Invariant Feature Transform) and its application on remote sensing image registration is discussed in this paper.First,the keypoint-based framework of remote sensing image registration is described;After analyzing robust feature extractor and keypoints matching which are two key problems in the image registration,a new approach based on SIFT and the distance between generalized tight pair-wise prototypes for remote sensing image registration is proposed;The relation between different matching methods based on SIFT is established by the concept of generalized tight pair-wise prototypes.Compared with the related work,our method can get more number of correct point matches and total number of point matches.The experimental results demonstrate the robustness and efficiency of the algorithm.