中国科学院大学学报2024，Vol.41Issue(1)：107-116,10.DOI:10.7523/j.ucas.2022.019
一种结合局部与半全局几何保持的影像匹配算法
An image matching algorithm combining local and semi-global geometry preservation
摘要
Abstract
Remote sensing image matching is an essential preprocessing step for many remote sensing applications.However,the distortions caused by elevation differences and the complexity of remote sensing image matching severely limit the matching precision of high-resolution remote sensing images.This paper proposes a robust feature matching algorithm suitable for local distortion and high outlier ratio.First,the Delaunay triangulation algorithm is used to impose geometric constraints on the initial matching point set,and the local adjacency relationship of the feature points is obtained.Second,pre-filter is conducted based on the adjacency information.Third,a multi-scale strategy is used to establish the local adjacency consistent model.Finally,a triangle similarity function is defined to achieve matching recovery.The experimental results on high-resolution images show that the average accuracy of our algorithm is 7.69％higher than that of RANSAC,and it is still robust when the outlier ratio is higher than 90％.关键词
高分辨率遥感影像/图像匹配/Delaunay三角网/几何保持/多尺度Key words
high resolution remote sensing image/image matching/Delaunay triangulation/geometry preservation/multi-scale分类
信息技术与安全科学引用本文复制引用
郑美艳,陈俊,葛小青,张红..一种结合局部与半全局几何保持的影像匹配算法[J].中国科学院大学学报,2024,41(1):107-116,10.基金项目
国家自然科学基金(41930110)资助 （41930110）
