Accuracy analysis of oblique photogrammetry technology in earthwork survey of complex terrain

Chenyang Wang; Xu Zhang; Chunlong Song; Huijuan Yu; Jin Bai; Dongwei Tian

doi:10.1117/12.3024916

21 February 2024 Accuracy analysis of oblique photogrammetry technology in earthwork survey of complex terrain

Chenyang Wang, Xu Zhang, Chunlong Song, Huijuan Yu, Jin Bai, Dongwei Tian

Proceedings Volume 12988, Second International Conference on Environmental Remote Sensing and Geographic Information Technology (ERSGIT 2023); 129881N (2024) https://doi.org/10.1117/12.3024916
Event: Second International Conference on Environmental Remote Sensing and Geographic Information Technology (ERSGIT 2023), 2023, Xi’an, China

Abstract

Traditional full-field surveying methods have problems such as large acquisition difficulty and low efficiency in earthwork surveying and mapping of complex terrain. This paper takes the solution of the earthwork of complex terrain as the starting point, applies the drone oblique photography technology to the calculation of the earthwork volume, and forms a real 3D model through the processes of multi-angle texture data collection, aerial triangulation, dense matching, and triangulation construction. Take the real 3D model as the basic data, and manually intervene to extract the elevation points semiautomatically as the important raw data for earthwork calculation. The square grid method is used as the earthwork volume calculation method, and compared with the traditional surveying and mapping method, the experiment shows that the oblique photogrammetry technology can meet the relevant accuracy requirements of earthwork survey, and has the advantages of high accuracy and fast efficiency.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Chenyang Wang, Xu Zhang, Chunlong Song, Huijuan Yu, Jin Bai, and Dongwei Tian "Accuracy analysis of oblique photogrammetry technology in earthwork survey of complex terrain", Proc. SPIE 12988, Second International Conference on Environmental Remote Sensing and Geographic Information Technology (ERSGIT 2023), 129881N (21 February 2024); https://doi.org/10.1117/12.3024916

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KEYWORDS

3D modeling

Data modeling

Photogrammetry

3D acquisition

Image encryption

Volume rendering

3D image processing

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