摘要
在高陡边坡的地质调查中,测量岩体结构面的工作经常受到复杂地形的限制无法正常开展,急需一种全方位的精确测量技术。结合近年来低空低速小型无人机技术的快速发展,使用搭载单镜头的小型无人机,基于多视立体视觉算法(PMVS)和运动结构恢复算法(Sf M)对目标物进行三维重建,通过现场试验和数据后处理,总结出了一套无人机摄影测量技术在高陡边坡地质调查中的应用方法,并得到了初步的研究结论:轻小型的单镜头多旋翼无人机能够采集到有效的地形数据,在三维点云中处理使用基于最小二乘法的平面拟合算法,可以提取出准确的结构面参数,进一步将这些结构面绘制在赤平极射投影图中,能实现高陡边坡的数字化岩体产状测量。
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（3 D） 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（Sf M）. 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 3 D 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.
作者
贾曙光
金爱兵
赵怡晴
JIA Shu-guang1,2, JIN Ai-bing1,2,ZHAO Yi-qing1,2(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, Chin)
出处
《岩土力学》
EI
CAS
CSCD
北大核心
2018年第3期1130-1136,共7页
Rock and Soil Mechanics
基金
国家自然科学基金资助项目(No.51674015)~~
关键词
无人机
立体视觉
高陡边坡
岩体结构
unmanned aerial vehicle （UAV）
stereo vision
high and steep slope
rock mass structure
