JOURNAL ARTICLE

Photogrammetry-Based 3D Textured Point Cloud Models Building and Rock Structure Estimation

Tiexin LiuJianhui Deng

Year: 2023 Journal:   Applied Sciences Vol: 13 (8)Pages: 4977-4977   Publisher: Multidisciplinary Digital Publishing Institute

Abstract

Trace lines on the outcrop of a rock mass are usually the primary data source for the estimation of rock structure. It is important to obtain the data of trace lines precisely. Photogrammetry is well suited to finish this task. However, this is mainly conducted by commercial software, and not every researcher has easy access to the method of digital photogrammetry. This study aims to provide researchers with a low-cost method of building a photogrammetry-based textured 3D point cloud model (FMBPM) and display the applicability of the method to estimating the rock structure of rock masses. In the FMBPM, a digital single-lens reflex camera with a prime lens and a total station are the necessary hardware employed to capture images and measure the coordinates of feature points. A coordinate transformation means of converting model coordinates to physical coordinates was introduced. A program for calculating a joint orientation based on the coordinates of inflection points on the trace line of the joint was developed. A section of a rock slope was selected as a case to show the procedures and the practicability of the FMBPM. The textured 3D point cloud model of the rock slope was successfully built, and the rock structure of the rock slope was analyzed using the joint disk model generated based on the trace lines extracted from the point cloud model. The results show that: (1) the precision of the point coordinates of the textured 3D point cloud model could achieve 3.96 mm, taking the data of the total station as the reference; (2) the rock structure of the slope is good, according to the value of the rock quality designation; (3) the new method is applicable in engineering practices.

Keywords:
Point cloud Photogrammetry Geology Computer science Joint (building) Rock mass classification Point (geometry) TRACE (psycholinguistics) Computer vision Artificial intelligence Remote sensing Computer graphics (images) Geometry Engineering Geotechnical engineering Mathematics

Metrics

4
Cited By
2.10
FWCI (Field Weighted Citation Impact)
30
Refs
0.85
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

3D Surveying and Cultural Heritage
Physical Sciences →  Earth and Planetary Sciences →  Geology
Remote Sensing and LiDAR Applications
Physical Sciences →  Environmental Science →  Environmental Engineering
Optical measurement and interference techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
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