UAV aerial triangulation: Point error distributions and the influencing mechanisms of ground control points on its accuracy

Authors

ZHA Jianfeng, Key Laboratory of Land Environment and Disaster Monitoring, Ministry of Natural Resources, Xuzhou 221116, ChinaFollow
ZHU Pengcheng, Shaanxi Railway Institute, Weinan 714000, China
WU Dejun, Key Laboratory of Land Environment and Disaster Monitoring, Ministry of Natural Resources, Xuzhou 221116, China
MA Chenyang, Key Laboratory of Land Environment and Disaster Monitoring, Ministry of Natural Resources, Xuzhou 221116, China
ZHONG Chongwu, Yankuang Energy Group Company Limited, Jining 273500, China
YIN Hongwu, Yankuang Energy Group Company Limited, Jining 273500, China
WANG Dong, Jining Energy Comprehensive Law Enforcement Detachment, Jining 272005, China

Abstract

Unmanned aerial vehicles (UAVs) have been an important means of monitoring the surface deformation in mining areas since they are flexible, are insensitive to weather, and can swiftly acquire images of target areas. However, there is an urgent need to improve UAV-based measurement accuracy. Based on a systematic analysis of factors affecting the accuracy of surface measurement points, this study focuses on the influence of the quality of ground control points on the point error distribution and accuracy of aerial triangulation. Firstly, through a large number of repeated observations and experiments, this study investigated the error distributions of the planar locations and elevations of monitoring points under the condition of evenly arranged ground control points around. Accordingly, by applying random errors to the planar coordinates and elevations of ground control points, this study determined the corresponding relationship between the planar and elevation accuracy of ground control points and monitoring points. Finally, this study proposes a strategy for improving the UAV-based monitoring accuracy of surface subsidence. The results are as follows: (1) Under the condition of evenly arranged ground control points around, the planar and elevation errors of UAV-based measurement points showed normal distributions but were affected by systematic errors to some extent. (2) The planar coordinates and elevations of the ground control points had independent effects on the planar coordinates and elevations of points in the aerial triangulation. (3) The measurement accuracy can be effectively improved by conducting digital averaging for multiple measurement results. The results of this study will provide theoretical and technical support for the design of UAV-based high-precision monitoring schemes for areas with surface collapse in coal mines.

Keywords

unmanned aerial vehicle (UAV), ground control point, deformation monitoring, error distribution, accuracy improvement

DOI

10.12363/issn.1001-1986.23.03.0126

Recommended Citation

ZHA Jianfeng, ZHU Pengcheng, WU Dejun, et al. (2023) "UAV aerial triangulation: Point error distributions and the influencing mechanisms of ground control points on its accuracy," Coal Geology & Exploration: Vol. 51: Iss. 7, Article 17.
DOI: 10.12363/issn.1001-1986.23.03.0126
Available at: https://cge.researchcommons.org/journal/vol51/iss7/17

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