Optical Image and SAR Image Matching based on Scattered Edge Feature

摘要：

In this paper, we propose a novel algorithm for matching optical image to synthetic aperture radar (SAR) image based on scattered edge feature using relaxation Hausdorff distance combined with genetic algorithm. A method is presented to extract scattered edge feature from low signal to noise ratio (SNR) SAR image via statistical and ratio model. Based on the scattered edge image from SAR and optical image, relaxation Hausdorff distance is adopted as a similarity measure because it is insensitive to noise. Genetic algorithm is used as searching strategy to achieve high computation speed for its intrinsic parallelism. Experimental results using real SAR and optical images demonstrate that the algorithm is feasible, and can achieve high matching accuracy.

关键词： Synthetic aperture radar Image matching relaxation Hausdorff distance Genetic algorithm

作者: Hui Cheng

作者单位: School of Mathematics & Computer Science, Jianghan University, Wuhan 430056,P. R. China

会议类型: 国际会议

会议名称: 2010年IEEE多媒体信息网络与安全国际会议

会议地点: 南京

会议语种:英文

页码: 1-4

在线出版日期: 2010-11-01（万方平台首次上网日期，不代表论文的发表时间）