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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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, 2021 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 ...
Jingguo LV,Xingbin YANG,Danlu ZHANG,Shan JIANG
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Performance Validation of High Resolution Digital Surface Models Generated by Dense Image Matching with the Aerial Images [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2014 The digital surface models (DSM) are the most popular products to determine visible surface of Earth which includes all non-terrain objects such as vegetation, forest, and man-made constructions.
N. Yastikli, H. Bayraktar, Z. Erisir
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PHOTOGRAMMETRIC POINT CLOUDS GENERATION IN URBAN AREAS FROM INTEGRATED IMAGE MATCHING AND SEGMENTATION [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2017 High-resolution imagery is an attractive option for surveying and mapping applications due to the advantages of high quality imaging, short revisit time, and lower cost. Automated reliable and dense image matching is essential for photogrammetric 3D data
L. Ye, B. Wu
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ADAPTIVE HIERARCHICAL DENSE MATCHING OF MULTI-VIEW AIRBORNE OBLIQUE IMAGERY [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015 Traditional single-lens vertical photogrammetry can obtain object images from the air with rare lateral information of tall buildings. Multi-view airborne photogrammetry can get rich lateral texture of buildings, while the common area-based matching for ...
Z. C. Zhang +3 more
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A HIERARCHICAL IMAGE MATCHING METHOD FOR STEREO SATELLITE IMAGERY [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2013 Image matching is an essential and difficult task in digital photogrammetry and computer vision. This paper presents a triangulationbased hierarchical image matching algorithm for stereo satellite imagery.
F. Yan, W. Wang, S. Liu, W. Chen
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IMAGE ACQUISITION AND MODEL SELECTION FOR MULTI-VIEW STEREO [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2013 Dense image matching methods enable efficient 3D data acquisition. Digital cameras are available at high resolution, high geometric and radiometric quality and high image repetition rate.
K. Wenzel +3 more
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Stereo Model Selection and Point Cloud Filtering using an Out-of-Core Octree [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2014 Dense image matching methods enable the retrieval of dense surface information using any kind of imagery. The best quality can be achieved for highly overlapping datasets, which avoids occlusions and provides highly redundant observations.
K. Wenzel, N. Haala, D. Fritsch
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