Paper
10 July 2024 Establishment of a 3D terrain model based on big data
Jun Wang, Guoyan Shen, Gang Luo, Yiduo Bo
Author Affiliations +
Proceedings Volume 13223, Fifth International Conference on Geology, Mapping, and Remote Sensing (ICGMRS 2024); 132231X (2024) https://doi.org/10.1117/12.3035660
Event: 2024 5th International Conference on Geology, Mapping and Remote Sensing (ICGMRS 2024), 2024, Wuhan, China
Abstract
Currently, there is a rising tide of digitization and intelligence in the field of transportation. Concurrently, novel surveying technologies have brought about vast amounts of high-precision terrain data. However, domestic three-dimensional software development started later and progressed more slowly. The construction of three-dimensional scenes for large-scale projects such as roads, bridges, and tunnels is not yet well-developed, and it fails to fully utilize the data information brought about by surveying technologies. The difficulty of real-time roaming and rendering of large-scale terrain models is exacerbated by the abundance of data. To address this challenge, a solution is proposed based on the Delaunay triangulation. This solution centers around high-precision data and involves the implementation of surrounding elevation point supplementation, aiming to establish a high-quality, high-precision, and high-level three-dimensional terrain. On the other hand, a terrain Level of Detail (LOD) structure is established based on quadtree segmentation, enhancing model interaction calculation speed and improving rendering and roaming effects. This solution successfully constructs an efficient and reliable three-dimensional terrain model, driving the digitization and intelligence development of large-scale engineering projects. The practical application of this approach has yielded excellent results
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Jun Wang, Guoyan Shen, Gang Luo, and Yiduo Bo "Establishment of a 3D terrain model based on big data", Proc. SPIE 13223, Fifth International Conference on Geology, Mapping, and Remote Sensing (ICGMRS 2024), 132231X (10 July 2024); https://doi.org/10.1117/12.3035660
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KEYWORDS
3D modeling

Data modeling

3D applications

Visualization

Design

Transportation

Visual process modeling

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