Theoretical and Natural Science
- The Open Access Proceedings Series for Conferences
Theoretical and Natural Science
Vol. 9, 13 November 2023
Open
Access | Article
Inclined photogrammetry data lightweighting techniques
* Author to whom correspondence should be addressed.
Abstract
Since contemporary information-retrieval systems rely heavily on the content of titles and abstracts to identify relevant articles in literature searches, great care should be taken in constructing both. Inclined photogrammetry is an emerging surveying and mapping technology with the advantages of real 3D and multi-view angle, but the huge amount of inclined photogrammetry data makes the application scenarios limited, which leads to the high cost of acquiring inclined photogrammetry data. To address this problem, the lightweighting technology of inclined photogrammetric data is studied. Firstly, the characteristics of inclined photogrammetric data are analysed, the key technology of lightweighting inclined photogrammetric data is studied, and the compression algorithm based on the improved triangular mesh model and the compression algorithm based on the regional chunking model are proposed, which solves the problem of the large volume of inclined photogrammetric data and the inconvenience of using it. The experimental results in small-scale mapping show that the lightweighting of inclined photogrammetric data can be effectively achieved based on the improved triangular mesh model compression algorithm and the regional chunking model compression algorithm, and the optimised combination of the improved triangular mesh model compression algorithm and the regional chunking model compression algorithm can effectively achieve the lightweighting of inclined photogrammetric data.
Keywords
Inclined Photogrammetry, Geomatics, Data Lightweighting, OSGB
References
1. Qiang He,Wenhua Li,Xiaofeng Zhong. Research on mass tilt photography model loading method based on Cesium [J]. Computer Programming Skills and Maintenance,2021,No.433(07):142-143+154.DOI:10.16184/j.cnki.comprg.2021.07.057.
2. Weiye Zhang, Zhiqing Tang, Guangyang Zhu, et al. A Strategy for Loading Oblique Photogrammetry Models and Multilayer Basemap Data, 2019, 7(7): 1-8.
3. Wanna Luan,Chengming Liu. Semi-regular mesh simplification algorithm based on inverse Loop subdivision [J]. Journal of Graphics,2020,41(06):980-986.
4. YANG Yu,SIN Chuhua,LI Guiqing. An adaptive simplification rate mesh simplification algorithm incorporating local region features [J]. Journal of Computer Aided Design and Graphics,2020,32(06):857-864.
5. WANG Wenkai, HUANG Kunxue, LI Meng, et al. Research on lightweight processing technology of inclined photogrammetric data [J]. Surveying and Mapping Bulletin, 2020(9) :123-126. DOI:10.13474 /j.cnki.11-2246.2020.0297.
Data Availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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- Volume Title
- Proceedings of the 3rd International Conference on Computing Innovation and Applied Physics
- ISBN (Print)
- 978-1-83558-129-2
- ISBN (Online)
- 978-1-83558-130-8
- Published Date
- 13 November 2023
- Series
- Theoretical and Natural Science
- ISSN (Print)
- 2753-8818
- ISSN (Online)
- 2753-8826
- DOI
- 10.54254/2753-8818/9/20240724
- Copyright
- 13 November 2023
- Open Access
- This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited