High-resolution Remote Sensing Image Semi-global Matching Method Considering Geometric Constraints of Connection Points and Image Texture Information

作     者：Xingbin YANG Jingguo LYU Shan JIANG Danlu ZHANG Xingbin YANG;Jingguo LYU;Shan JIANG;Danlu ZHANG

作者机构：School of Geomatics and Urban Spatial InformaticsBeijing University of Civil Engineering and ArchitectureBeijing 100044China Beijing Key Laboratory of Urban Spatial Information EngineeringBeijing 100044China 

出 版 物：《Journal of Geodesy and Geoinformation Science》 (测绘学报（英文版）)

年 卷 期：2022年第5卷第4期

页      面：86-101页

学科分类：083002[工学-环境工程] 0830[工学-环境科学与工程（可授工学、理学、农学学位）] 081802[工学-地球探测与信息技术] 08[工学] 0818[工学-地质资源与地质工程] 081602[工学-摄影测量与遥感] 0816[工学-测绘科学与技术] 

基　　金：The National Key Research and Development Program of China(No.2016YFB0500304) The Fund of Beijing Key Laboratory of Urban Spatial Information Engineering(No.2017212) The Advanced Project of Urban Design Big Data Acquisition and Processing(30059917306) 

主　　题：geometric constraints image texture information semi-global matching 

摘      要：Dense matching of remote sensing images is a key step in the generation of accurate digital surface *** semi-global matching algorithm comprehensively considers the advantages and disadvantages of local matching and global matching in terms of matching effect and computational efficiency,so it is widely used in close-range,aerial and satellite image *** on the analysis of the original semi-global matching algorithm,this paper proposes a semi-global high-resolution remote sensing image that takes into account the geometric constraints of the connection points and the image texture information based on the large amount of high-resolution remote sensing image data and the characteristics of clear image *** method includes 4 parts:(1)Precise *** at the system error in the image orientation model,the system error of the rational function model is compensated by the geometric constraint relationship of the connecting points between the images,and the sub-pixel positioning accuracy is obtained;(2)Epipolar image *** the original image is divided into blocks,the epipolar image is generated based on the projection trajectory method;(3)Image dense *** order to reduce the size of the cost space and calculation time,the image is pyramided and then semi-globally matched layer by *** the matching process,the disparity map expansion and erosion algorithm that takes into account the image texture information is introduced to restrict the disparity search range and better retain the edge characteristics of the ground objects;(4)Generate *** order to test the matching effect,the weighted median filter algorithm is used to filter the disparity map,and the DSM is obtained based on the principle of forward ***,the paper uses the matching results of WordView3 and Ziyuan No.3 stereo image to verify the effectiveness of this method.