Paper
27 November 2024 Hole repair of 3D terrain mesh in satellite stereo image reconstruction
Qiwei Bao, Jun Liu, Xining Liu, Limin Zhao, Zhanliang Yuan, Xingfeng Chen, Jiaguo Li, Huafu Li, Haixiang Zhang
Author Affiliations +
Proceedings Volume 13402, International Conference on Remote Sensing, Mapping, and Geographic Information Systems (RSMG 2024); 1340238 (2024) https://doi.org/10.1117/12.3048642
Event: International Conference on Remote Sensing, Mapping, and Geographic Information Systems (RSMG 2024), 2024, Zhengzhou, China
Abstract
When constructing a 3D surface grid using point cloud data closely matched with high-resolution satellite stereo images, holes often appear due to matching failures or limitations of triangulation algorithms, affecting the grid's integrity and the accuracy of subsequent applications. To solve this problem, a boundary contraction algorithm is studied for repairing mesh holes. The research focuses on different terrain conditions such as mountains, plains, and cities, and evaluates the effectiveness of boundary contraction algorithms in repairing holes. Using visual inspection methods, the quality of the repaired mesh is checked to ensure its integrity, smoothness, continuity, and topological correctness. The experimental results of GF-7 satellite images show that the boundary contraction algorithm can effectively fill holes in various terrain environments, significantly improving the geometric quality and overall integrity of the mesh, verifying its feasibility as a reliable mesh repair method, and providing strong support and verification for the application of the boundary contraction algorithm in actual terrain data processing.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Qiwei Bao, Jun Liu, Xining Liu, Limin Zhao, Zhanliang Yuan, Xingfeng Chen, Jiaguo Li, Huafu Li, and Haixiang Zhang "Hole repair of 3D terrain mesh in satellite stereo image reconstruction", Proc. SPIE 13402, International Conference on Remote Sensing, Mapping, and Geographic Information Systems (RSMG 2024), 1340238 (27 November 2024); https://doi.org/10.1117/12.3048642
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KEYWORDS
Satellites

Point clouds

3D modeling

Satellite imaging

Reconstruction algorithms

3D image processing

Remote sensing

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