Automatic registration of sar and optical image based on multi-features and multi-constraints

This paper proposes a two-stage registration method for SAR and optical images based on multi-features and multi-constraints. In the first stage, closed regions are extracted automatically to achieve the coarse mapping parameters as geometrical restriction. In the second stage, Harris corner points and cross-road features are extracted, and then correlation analysis and mutual information are utilized to match the corresponding control points. After that, multi-constraints are used to delete the false matched points. The retained ones are served as ground control points for registration. The experimental results show that the method can reduce the possibility of false matching effectively and the registration error is within one pixel.