基于SIFT改进算法的影像配准方法
Image registration Method Based on Improved SIFT Algorithm
针对SIFT匹配算法存在正确率较低的缺陷，本文在分析SIFT匹配算法和ORSA算法的基础上提出一种新的SIFT特征匹配算法，将初始匹配点分为两类，并采用不同的方法剔除错误匹配点对，实验证明，本文算法可以有效的剔除初始匹配中的错误匹配点对，提高了影像配准的精度。
IFor SIFT feature matching algorithm have defects of low accuracy, proposed a improved SIFT feature matching algorithm based on the analysis of SIFT feature matching algorithm and ORSA algorithm, Initial match points will be divided into two categories, and use different methods to delet the false matching points, the experiments show that the algorithm can effectively eliminate the the false matching points in initial matching points and improve the image registration precision.
杨华超、张磊
遥感技术
关图像配准SIFT特征ORSA算法
image registrationSIFT (Scale Invariant Feature Transform) featureORSA algorithm
杨华超,张磊.基于SIFT改进算法的影像配准方法[EB/OL].(2012-02-21)[2025-04-26].http://www.paper.edu.cn/releasepaper/content/201202-750.点此复制
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