›› 2018, Vol. 39 ›› Issue (3): 1130-1136.doi: 10.16285/j.rsm.2017.1474

• Testing Technology • Previous Articles     Next Articles

Application of UAV oblique photogrammetry in the field of geology survey at the high and steep slope

JIA Shu-guang1, 2, JIN Ai-bing1, 2, ZHAO Yi-qing1,2   

  1. 1. Key Laboratory of Ministry of Education of China for High Efficient Mining and Safety of Metal Mines, University of Science and Technology Beijing, Beijing 100083, China; 2. School of Civil & Environment Engineering, University of Science and Technology Beijing, Beijing 100083, China
  • Received:2017-07-14 Online:2018-03-12 Published:2018-06-06
  • Supported by:

    This work was supported by the National Natural Science Foundation Grants Program (51674015).

Abstract: Due to the limit of complex terrain, the structural plane of rock mass is difficult to measure in the geological survey of high and steep slopes. Hence, a new technique is in urgent need to achieve all-around precise measurement. In recent years, the technology of the low-altitude and low-speed small unmanned aerial vehicle (UAV) has been developed rapidly. In this study, three-dimensional (3D) reconstruction of the target was performed using the small UAV with a single-lens reflex camera, based on the patch-based multiview stereo (PMVS) and structure from motion (SfM). By means of field experiments and data post-processing, an application method of the UAV oblique photogrammetry was proposed for the geological survey of the high and steep slope. The preliminary conclusions were also obtained. The valid terrain data was successfully collected by the small multicopter UAV with the single-lens reflex camera. During the process of analysing 3D point clouds, the parameter of the structural surface was extracted by the plane fitting algorithm based on the least square method. The structure plane of rock mass was further drew into the polar-radiation equatorial-plane projection map. Thus, the digital measurement of rock mass in high and steep slope was achieved in this study.

Key words: unmanned aerial vehicle (UAV), stereo vision, high and steep slope, rock mass structure

CLC Number: 

  • P 231.5

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