计算机科学与探索2012，Vol.6Issue(9)：822-828,7.DOI:10.3778/j.issn.1673-9418.2012.09.006
SURF算法和RANSAC算法相结合的遥感图像匹配方法
Matching Method of Remote Sensing Images Based on SURF Algorithm and RANSAC Algorithm
摘要
Abstract
This paper proposes a matching method for remote sensing images, which combines the superiorities of the speeded up robust features (SURF) algorithm and the random sample consensus (RANSAC) algorithm. Firstly, feature detection and pre-matching of images are done by using SURF algorithm. Secondly, the mismatching is wiped out by using RANSAC algorithm. This method solves the mismatching problem of image matching. Integrated experiments on feature detection and matching as well as the settlement of transformation matrix show that the proposed method is effective.关键词
积分图像/盒滤波器/SURF算法/Hession矩阵/RANSAC算法/遥感图像Key words
integral image/ box filter/ SURF algorithm/ Hession matrix/ RANSAC algorithm/ remote sensing image分类
信息技术与安全科学引用本文复制引用
陈艺虾,孙权森,徐焕宇,耿蕾蕾..SURF算法和RANSAC算法相结合的遥感图像匹配方法[J].计算机科学与探索,2012,6(9):822-828,7.基金项目
The National Natural Science Foundation of China under Grant No.60773172(国家自然科学基金) （国家自然科学基金）
the Specialized Research Fund for the Doctoral Program of Higher Education of China under Grant No.200802880017(高等学校博士学科点专项科研基金) （高等学校博士学科点专项科研基金）
the Research Program of Nanjing University of Science and Technology under Grant No.2011ZDJH26(南京理工大学自主科研专项计划资助项目). （南京理工大学自主科研专项计划资助项目）
