SAR Image Coregistration Using Fringe Definition Detection  

作　　者：YANG Ying-hui CHEN Qiang LIU Guo-xiang Li Zhi-lin CHENG Hai-qin Liu Li-yao 

机构地区：[1]Department of Remote Sensing and Geoinformation Engineering,Southwest Jiaotong University [2]School of Civil Engineering and Architecture,East China Jiaotong University

出　　处：《Journal of Mountain Science》2013年第5期790-800,共11页山地科学学报（英文）

基　　金：supported by the Natural Science Foundation of China (Grant Nos. 41072220, 51178404);National Basic Research Program of China (973 Program) under Grant 2012CB719901;Fundamental Research Funds for the Central Universities(GrantNos.SWJTU09CX010, SWJTU11ZT13, SWJTU12ZT07)

摘　　要：In order to overcome the limitation of cross correlation coregistration method for Synthetic Aperture Radar （SAR） interferometric pairs with low coherence, a new image coregistration algorithm based on Fringe Definition Detection （FDD） is presented in this paper. The Fourier transformation was utilized to obtain spectrum characteristics of interferometric fringes. The ratio between spectrum mean and peak was proposed as the evaluation index for identifying homologous pixels from interferometric images. The satellites ERS-1/2 C-band SAR acquisitions covering the Yangtze River plain delta, eastern China and ALOS/PALSAR L-band images over the Longmen Shan mountainous area, southwestern China were respectively employed in the experiment to validate the proposed coregistration method. The testing results suggested that the derived Digital Elevation Model （DEM） from FDD method had good agreement with that from the cross correlation method as well as the reference DEM at high coherence area. However, The FDD method achieved a totally improved topographic mapping accuracy by 24 percent in comparison to the cross correlation method. The FDD method also showed better robustness and achieved relatively higher performance for SAR image eoregistration in mountainous areas with low coherence.

关 键 词：SAR image coregistration Spectrumcharacteristics Fringe definition detection Interferometric Synthetic Aperture Radar （InSAR） Accuracy assessment 

分 类 号：TN957.52[电子电信—信号与信息处理] P225.1[电子电信—信息与通信工程]