Optimized High-Precision Registration Method of Multi-source Remote Sensing Images

Abstract:

An optimized high-precision registering method of multi-source remote sensing images is discussed.The feature points are quickly extracted by using the operators of gradient and Forstner,and the grid technique based on the entropy is adopted to control the homogeneity of feature points.Based on some exact control points and the matching rule of the invariant moment similarity measurement and the matching strategy of the global relaxation,the homonymy points are obtained by quickly registering the remote sensing images.Then the error points are eliminated by using the quadratic polynomial model.Experiment results show that the method,with quick registering speed and highly accurate and evenly distributing points,can meet the need of the image fusion and quick updating of the remote sensing images.