Geometric Feature-Based Image Co-Registration Approach for InSAR
This paper proposes a novel approach to co-register InSAR image pair.We use the SIFT descriptor to extract scale- and rotation-invariant point correspondences from images.Since the images are acquired spatial or temporal differently,there are unavoidable differences between them,which result in some mismatches in the correspondences.Generally,these mismatches must be removed so as to achieve a correct coregistration.However,this step is not necessary in our approach.Base on the obtained correspondences and the geometric transform relationship between images,a series of equations are formulated to calculate the samples of co-registration parameters:the rotation,scale,azimuth translation and range translation.We transform the parameter estimation problem into a linear regression problem,and the robust Least Median of Squares (LMedS) is introduced to obtain the precise value of co-registration parameters from these contaminated samples.Experiments show that the approach is able to co-register images with high precision and robustness even if substantial nonoverlapped areas exist between images.
Image co-registration InSAR,SIFT Parameter estimation
Dong Li Yunhua Zhang
Graduate University of Chinese Academy of Sciences,Beijing China Center for Space Science and Applied Research,Chinese Academy of Sciences,Beijing China
国际会议
2009 2nd Asian-Pacific Conference on Synthetic Aperture Radar(第二届亚太合成孔径雷达会议)
西安
英文
1026-1030
2009-10-26（万方平台首次上网日期，不代表论文的发表时间）