Results 1 to 10 of about 217,760 (286)
DENSE IMAGE MATCHING WITH TWO STEPS OF EXPANSION [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016 Dense image matching is a basic and key point of photogrammetry and computer version. In this paper, we provide a method derived from the seed-and-grow method, whose basic procedure consists of the following: First, the seed and feature points are ...
Z. Zhang, J. He, S. Huang, Y. Duan
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Stereo Dense Image Matching by Adaptive Fusion of Multiple-Window Matching Results [PDF]
Remote Sensing, 2020 Traditional stereo dense image matching (DIM) methods normally predefine a fixed window to compute matching cost, while their performances are limited by the matching window sizes.
Yilong Han +4 more
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TEXTURE-AWARE DENSE IMAGE MATCHING USING TERNARY CENSUS TRANSFORM [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016 Textureless and geometric discontinuities are major problems in state-of-the-art dense image matching methods, as they can cause visually significant noise and the loss of sharp features.
H. Hu +5 more
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A CASE STUDY ON THROUGH-WATER DENSE IMAGE MATCHING [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018 In the last years, the tremendous progress in image processing and camera technology has reactivated the interest in photogrammetrybased surface mapping.
G. Mandlburger, G. Mandlburger
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IMAGE-GUIDED NON-LOCAL DENSE MATCHING WITH THREE-STEPS OPTIMIZATION [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016 This paper introduces a new image-guided non-local dense matching algorithm that focuses on how to solve the following problems: 1) mitigating the influence of vertical parallax to the cost computation in stereo pairs; 2) guaranteeing the performance of ...
X. Huang, Y. Zhang, Z. Yue
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A dense matching method for remote sensing images fused with CPS denoising
Scientific ReportsDense matching of remote sensing images is crucial for 3D reconstruction. This study proposes an enhanced dense matching method employing the CPS image denoising algorithm, aiming to boost the SGM algorithm's accuracy and efficiency in remote sensing ...
Bo Zhu, Xiao Tan, Houpu Li
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DENSE MULTI-VIEW IMAGE MATCHING FOR DSM GENERATION FROM SATELLITE IMAGES [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019 Digital Surface Model (DSM) can be generated from stereo pairs of satellite or aerial images. Among the most state-of-the-art matching algorithms, Semi-Global Matching (SGM) has widely been used for generating DSM from both satellite and aerial images ...
A. Mahphood +3 more
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EFFECT OF IMAGE MATCHING WINDOW SIZE ON SATELLITE JITTER FREQUENCY DETECTION [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 Satellite attitude jitter is a common and complex phenomenon for high-resolution satellites and it is detectable by multi-temporal image matching. This paper analyses the effect of image matching window size on jitter frequency detection.
H. Zhang +6 more
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High-resolution Remote Sensing Image Semi-global Matching Method Considering Geometric Constraints of Connection Points and Image Texture Information [PDF]
Journal of Geodesy and Geoinformation Science, 2022 Dense matching of remote sensing images is a key step in the generation of accurate digital surface models. The semi-global matching algorithm comprehensively considers the advantages and disadvantages of local matching and global matching in terms of ...
Xingbin YANG,Jingguo LYU,Shan JIANG,Danlu ZHANG
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Quasi-Dense Matching Algorithm for Close-Range Image Combined With Feature Line Constraint
IEEE Access, 2022 Point-based sparse or dense matching can typically obtain satisfactory 3D point clouds of general contour features, but the deformation problem at the edges of artificial objects is prominent.
Jingxue Wang, Xuetao Zheng, Zhenghui Xu
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