基于航空影像的高陡边坡突岩识别方法

崔溦; 高德宇; 王轩毫; 张贵科; 杨弘

doi:10.3799/dqkx.2021.130

Volume 48 Issue 9

Sep. 2023

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Article Navigation > Earth Science > 2023 > 48(9): 3378-3388

Cui Wei, Gao Deyu, Wang Xuanhao, Zhang Guike, Yang Hong, 2023. Identification of Rocky Ledge on Steep and High Slopes Based on Aerial Photogrammetry. Earth Science, 48(9): 3378-3388. doi: 10.3799/dqkx.2021.130

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Cui Wei, Gao Deyu, Wang Xuanhao, Zhang Guike, Yang Hong, 2023. Identification of Rocky Ledge on Steep and High Slopes Based on Aerial Photogrammetry. Earth Science, 48(9): 3378-3388. doi: 10.3799/dqkx.2021.130

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Identification of Rocky Ledge on Steep and High Slopes Based on Aerial Photogrammetry

doi: 10.3799/dqkx.2021.130

Cui Wei^{1
,
,},
Gao Deyu¹,
Wang Xuanhao^{1, 2},
Zhang Guike³,
Yang Hong³

1.
State Key Laboratory of Hydraulic Engineering Simulation and Safety, Tianjin University, Tianjin 300350, China
2.
State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan 430072, China
3.
Yalong River Hydropower Development Company, Ltd., Chengdu 610051, China

Received Date: 2021-07-06
Available Online: 2023-10-07
Publish Date: 2023-09-25

Abstract

Abstract

The rocky ledge on steep, high slopes is easy to lose stability under the action of gravity, earthquake, excavation and unloading, etc., which threatens the safety of water conservancy projects. Therefore, the early investigation of rocky ledge is of great significance. However, due to the large slope area and inconvenient traffic, the manual identification is time-consuming and dangerous. A rapid identification method for the rock ledge based on unmanned aerial vehicle (UAV) photogrammetry is proposed in this paper. This method consists of three steps: (1) Generate the point cloud model by UAV photogrammetry; (2) segment the slopes into smooth areas and non-smooth areas by kernel density estimation (KDE) of the point's normal vector, clustering the points of non-smooth areas by the density-based spatial clustering of applications with noise (DBSCAN); (3) classify the point clusters representing rocky ledge by the geometric feature. The method can identify possible rocky ledge from the whole slope, which reduces the artificial workload. The proposed method has been successfully applied to the slopes near Lianghekou hydropower station to obtain boundaries and geometric features of rocky ledges which will provide basic data for the future stability analysis.
- high-steep slope,
- rocky ledge,
- aerial photogrammetry,
- point cloud,
- kernel density estimation,
- DBSCAN,
- engineering geology,
- slope stability

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References(34)

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