计算机应用研究2016，Vol.33Issue(5)：1562-1565,4.DOI:10.3969/j.issn.1001-3695.2016.05.062
G SSAC：一种用于遥感影像配准的误匹配点检测方法
GSSAC:false matching points detection method for remote sensing images
摘要
Abstract
Given the influences of illumination,imaging angle and geometric distortion,among others,false matching points still occur in all image matching algorithms.Therefore,false matching points detection is an important step in remote sensing image registration.RANSAC was typically used to detection.However,RANSAC couldn’t accurately detect unevenly distribu-ted matching points and the result was unstable.To overcome these disadvantages and improve accuracy and stability,this paper proposed GSSAC method.Group sorted sample strategy first divided all matching points into several groups.Then,it sorted the matching points in each group.Finally,one or more matching points were sampled based on their orders for each group.These matching points were formed by the minimum number of points required to compute model parameters.The experiments show that the stability and accuracy of GSSAC are better compared with other methods.关键词
影像配准/误匹配点检测/随机抽样一致性算法Key words
image registration/false matching points detection/RANSAC分类
信息技术与安全科学引用本文复制引用
单小军,唐娉,郑柯..G SSAC：一种用于遥感影像配准的误匹配点检测方法[J].计算机应用研究,2016,33(5):1562-1565,4.基金项目
国家“863”计划资助项目 （）
