航空影像特征匹配研究  

Feature-based Image Matching for Aerial Images

作　　者：江万寿[1] 郑顺义[2] 张祖勋[2] 张剑清[2] 

机构地区：[1]武汉大学测绘遥感信息工程国家重点实验室,武汉市珞喻路129号430079 [2]武汉大学遥感信息工程学院,武汉市珞喻路129号430079

出　　处：《武汉大学学报（信息科学版）》2003年第5期510-513,共4页Geomatics and Information Science of Wuhan University

基　　金：国家自然科学基金资助项目 (4 0 0 0 10 18)

摘　　要：基于格网和三角网的优点 ,提出了一种基于特征的影像松弛匹配方法。算法利用边缘提取算子提取影像特征信息 ,把提取的边缘特征点分配到预定的规则格网中进行登记 。Image edges are extracted with a simple algorithm, and the key points of edges are registered in grids. Then for every key edge point, several matching candidates are searched by finding the peak of correlation coefficients, and the initial matching probabilities are calculated with these coefficients. Last, a relaxation optimization algorithm is used to adjust the matching probabilities. From experiments, it can be concluded that the feature-based image matching can improve the accuracy and robustness.

关 键 词：影像匹配 概率松弛法 特征提取 全数字摄影测量系统 边缘提取 

分 类 号：P23[天文地球—摄影测量与遥感]