国土资源遥感2013，Vol.25Issue(3)：20-24,5.DOI:10.6046/gtzyyg.2013.03.04
基于改进ORB算法的遥感图像自动配准方法
Automatic registration method for remote sensing images based on improved ORB algorithm
摘要
Abstract
Aiming at reliable registration of remote sensing images,the authors present in this paper a remote sensing image registration method based on improved ORB (oriented brief) algorithm.The proposed method mainly includes three stages:The first stage is feature matching,the improved ORB algorithm is used to detect features and build descriptors,and the descriptors are matched to obtain initial control points.The second stage is to employ RANSAC (random sample consensus) processing via transformation parameters estimation to remove possible wrong matching points.The third stage is to rectify the image based on the transformation parameters calculated by the least square method.The proposed method is evaluated based on two sets of optical and SAR remote sensing images,and is compared with the registration methods based on SIFT and SURF algorithm.The results show that the method proposed in this paper can provide the same accurate remote sensing image registration result as or even the higher result than the methods based on SIFT and SURF algorithm,and can obtain improved efficiency.关键词
遥感图像/图像配准/ORB算法/随机采样一致性Key words
remote sensing image/image registration/ ORB (oriented brief) algorithm/random sample consensus (RANSAC)分类
信息技术与安全科学引用本文复制引用
张云生,邹峥嵘..基于改进ORB算法的遥感图像自动配准方法[J].国土资源遥感,2013,25(3):20-24,5.基金项目
国家863计划项目(编号:2012AA120801)、国家自然科学基金项目(编号:41201472)、中国博士后科学基金项目(编号:2012M511413)和湖南省高校创新平台开放基金项目(编号:12K009)共同资助. （编号:2012AA120801）
