Journal of Astronautics ›› 2012, Vol. 33 ›› Issue (10): 1505-1511.doi: 10.3873/j.issn.1000-1328.2012.10.021

• E&IE • Previous Articles     Next Articles

An Algorithm of Image Registration Based on Optimized Energy Analysis of Control Points/Correspondences

SHI Yue1,2, FU Kun1,2, SUN Xian1,2, LIN Yin1,2,ZHAO Wen-zhe1,2   

  1. (1.Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China;
    2.Key Laboratory of Spatial Information Processing and Application System Technology,Chinese Academy of Sciences, Beijing 100190, China)
  • Received:2011-10-10 Revised:2012-07-09 Online:2012-10-15 Published:2012-10-22


An crucial problem of feature-based image registration is how to get enough and accurate correspondent features to increase the accuracy of registration. An automatic remote sensing image registration method based on optimized energy analysis of control points/correspondences is presented to improve the traditional algorithm.First,a multi-scale segment method based on digital curvelet transform is used to evaluate the quality of sensed images, then parameters of SIFT feature-matching algorithm is automatically adjusted according to multi-scale grey relation energy of image quality  to increase the feature matching points and the correspondences.At last, to make sure the accuracy of geometrical transform parameters, a method of selecting optimized correspondences based on the distribution and matching energy model of control points is developed. Experimental results demonstrate that the proposed method works well in increasing control points and the correspondences of low quality remote sensing images.


Key words: Remote sensing, Image reGistration, Correspondences selection, Scale invariant feature transform (SIFT), Grey relation analysis

CLC Number: