Application of Unmanned Aerial Vehicle Remote Sensing on Dangerous Rock Mass Identification and Deformation Analysis: Case Study of a High-Steep Slope in an Open Pit Mine
文献类型：期刊论文
| 作者 | Du, Wenjie4,5; Sheng, Qian4,5; Fu, Xiaodong4,5; Chen, Jian3,4,5; Kang, Jingyu4,5; Pang, Xin2; Wan, Daochun2; Yuan, Wei1 |
| 刊名 | JOURNAL OF EARTH SCIENCE
 |
| 出版日期 | 2025-04-01 |
| 卷号 | 36期号:2页码:750-763 |
| 关键词 | high-steep slope UAV remote sensing dangerous rock identification multi-temporal monitoring multi-source data fusion engineering geology |
| ISSN号 | 1674-487X |
| DOI | 10.1007/s12583-023-1813-7 |
| 英文摘要 | Source identification and deformation analysis of disaster bodies are the main contents of high-steep slope risk assessment, the establishment of high-precision model and the quantification of the fine geometric features of the slope are the prerequisites for the above work. In this study, based on the UAV remote sensing technology in acquiring refined model and quantitative parameters, a semi-automatic dangerous rock identification method based on multi-source data is proposed. In terms of the periodicity UAV-based deformation monitoring, the monitoring accuracy is defined according to the relative accuracy of multi-temporal point cloud. Taking a high-steep slope as research object, the UAV equipped with special sensors was used to obtain multi-source and multi-temporal data, including high-precision DOM and multi-temporal 3D point clouds. The geometric features of the outcrop were extracted and superimposed with DOM images to carry out semi-automatic identification of dangerous rock mass, realizes the closed-loop of identification and accuracy verification; changing detection of multi-temporal 3D point clouds was conducted to capture deformation of slope with centimeter accuracy. The results show that the multi-source data-based semiautomatic dangerous rock identification method can complement each other to improve the efficiency and accuracy of identification, and the UAV-based multi-temporal monitoring can reveal the near real-time deformation state of slopes. |
| 资助项目 | Youth Innovation Promotion Association CAS[2021325] ; National Natural Science Foundation of China[52179117] ; National Natural Science Foundation of China[U21A20159] ; Research project of Panzhihua Iron and Steel Group Mining Co., Ltd.[2021-P6-D2-05] |
| WOS研究方向 | Geology |
| 语种 | 英语 |
| WOS记录号 | WOS:001468317200009 |
| 出版者 | CHINA UNIV GEOSCIENCES, WUHAN |
| 源URL | [http://119.78.100.198/handle/2S6PX9GI/35710]  |
| 专题 | 中科院武汉岩土力学所 |
| 通讯作者 | Fu, Xiaodong |
| 作者单位 | 1.Shijiazhuang Tiedao Univ, Key Lab Rd & Railway Engn Safety Control, Minist Educ, Shijiazhuang 050043, Peoples R China 2.Panzhihua Iron & Steel Grp Min Co Ltd, Panzhihua 617000, Peoples R China 3.China Pakistan Joint Res Ctr Earth Sci, CAS HEC, Islamabad 45320, Pakistan 4.Univ Chinese Acad Sci, Sch Engn Sci, Beijing 100049, Peoples R China 5.Chinese Acad Sci, Inst Rock & Soil Mech, State Key Lab Geomech & Geotech Engn, Wuhan 430071, Peoples R China |
| 推荐引用方式 GB/T 7714 | Du, Wenjie,Sheng, Qian,Fu, Xiaodong,et al. Application of Unmanned Aerial Vehicle Remote Sensing on Dangerous Rock Mass Identification and Deformation Analysis: Case Study of a High-Steep Slope in an Open Pit Mine[J]. JOURNAL OF EARTH SCIENCE,2025,36(2):750-763. |
| APA | Du, Wenjie.,Sheng, Qian.,Fu, Xiaodong.,Chen, Jian.,Kang, Jingyu.,...&Yuan, Wei.(2025).Application of Unmanned Aerial Vehicle Remote Sensing on Dangerous Rock Mass Identification and Deformation Analysis: Case Study of a High-Steep Slope in an Open Pit Mine.JOURNAL OF EARTH SCIENCE,36(2),750-763. |
| MLA | Du, Wenjie,et al."Application of Unmanned Aerial Vehicle Remote Sensing on Dangerous Rock Mass Identification and Deformation Analysis: Case Study of a High-Steep Slope in an Open Pit Mine".JOURNAL OF EARTH SCIENCE 36.2(2025):750-763. |
入库方式： OAI收割
来源：武汉岩土力学研究所
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