计算机工程与应用2018，Vol.54Issue(1)：19-24,6.DOI:10.3778/j.issn.1002-8331.1709-0310
图结构在航空遥感图像特征点匹配中的应用
Application of graph structure in aerial image feature matching
摘要
Abstract
The aerial remote sensing image captured on the sea has the characteristics of dynamicity, monotonous and similar patterns, which may result in mismatches in feature matching. In order to remove the mismatches and improve the efficiency, a feature point matching algorithm based on graph structure is proposed. There are two stages in feature matching process, coarse matching and fine matching. In the coarse matching, Speeded Up Robust Features(SURF )is used to get an initial matching results. In the fine matching, Restricted GTM(RGTM)is proposed. Both local spatial structure and global information are considered. KNN graphs are constructed by the initial points. Then feature matching is converted to graph matching and global transformation error is used to restrict the matching convergence. The experimental results show that the proposed algorithm is more efficient and accurate than GTM.关键词
特征匹配/SURF特征/结构特征/全局变换误差/图结构Key words
feature matching/Speeded Up Robust Features(SURF)/structure feature/global transformation error/graph structure分类
信息技术与安全科学引用本文复制引用
刘朝霞,邵峰,景雨,祁瑞华..图结构在航空遥感图像特征点匹配中的应用[J].计算机工程与应用,2018,54(1):19-24,6.基金项目
国家自然科学基金青年基金(No.61201454,No.61501082) （No.61201454,No.61501082）
国家社科基金一般项目(No.15BYY028) （No.15BYY028）
辽宁省高等学校优秀人才支持计划(No.LJQ2014127) （No.LJQ2014127）
辽宁省自然科学基金(No.2015020017,No.20170540230,No.20170540232) （No.2015020017,No.20170540230,No.20170540232）
2014年度大连外国语大学科研基金(No.2014XJYB12). （No.2014XJYB12）
