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

引用

Journal of Geodesy and Geoinformation Science 2022年第4期5卷 86-101页

作者： Xingbin YANG Jingguo LYU Shan JIANG Danlu ZHANG School of Geomatics and Urban Spatial Informatics Beijing University of Civil Engineering and ArchitectureBeijing 100044China Beijing Key Laboratory of Urban Spatial Information Engineering Beijing 100044China

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.

关键词： geometric constraints image texture information semi-global matching

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

引用

Journal of Geodesy and Geoinformation Science 2021年第4期4卷 97-112页

作者： Jingguo LV Xingbin YANG Danlu ZHANG Shan JIANG Shool of Geomatics and Urban Spatial Informatics Beijing University of Civil Engineering and ArchitectureBeijing 102616China

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 a large amount of high-resolution remote sensing image data and the characteristics of clear image texture.123123The method includes 4 parts:①Precise *** 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;②Epipolar image *** the original image is divided into blocks,the epipolar image is generated based on the projection trajectory method;③Image 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;④Generate *** 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.

关键词： geometric constraints image texture information semi-global matching

来源：

维普期刊数据库

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