KW-SIFT descriptor for remote-sensing image registration

作     者：刘向增 田铮 延伟东 段西发 

作者机构：School of Science Northwestern Polytechnical University 

出 版 物：《Chinese Optics Letters》 (中国光学快报（英文版）)

年 卷 期：2011年第9卷第6期

页      面：39-43页

核心收录：

学科分类：08[工学] 080203[工学-机械设计及理论] 0802[工学-机械工程] 

基　　金：supported by the National Natural Science Foundation of China (Nos. 60972150 and 10926197) 

主　　题：Image registration 

摘      要：A technique to construct an affine invariant descriptor for remote-sensing image registration based on the scale invariant features transform （SIFT） in a kernel space is proposed. Affine invariant SIFT descriptor is first developed in an elliptical region determined by the Hessian matrix of the feature points. Thereafter, the descriptor is mapped to a feature space induced by a kernel, and a new descriptor is constructed by whitening the mapped descriptor in the feature space, with the transform called KW-SIFT. In a final step, the new descriptor is used to register remote-sensing images. Experimental results for remote-sensing image registration indicate that the proposed method improves the registration performance as compared with other related methods.