Using an unmanned aerial vehicle for topography mapping of the fault zone based on structure from motion photogrammetry
Using an unmanned aerial vehicle for topography mapping of the fault zone based on structure from motion photogrammetry
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利用无人机进行基于运动摄影测量结构的断层带地形测绘
DOI：
10.1080/01431161.2016.1249308
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发表时间：
2017-01-01
影响因子：
3.4
通讯作者：
Yu, Jingxing
中科院分区：
文献类型：
--
作者：
Bi, Haiyun;Zheng, Wenjun;Yu, Jingxing
高精度、高分辨率地形图是活动断层定量研究的基础。光探测和测距（激光雷达）是目前获取此类数据最流行的方法，但其相对较高的成本极大地限制了其在许多地球科学应用中的应用。近年来，随着计算机视觉科学的快速发展和小型无人机的日益广泛应用，运动结构摄影测量在提供与激光雷达测量相当的分辨率和精度的地形信息方面显示出巨大的潜力，但成本要低得多。在这项研究中，我们利用安装在海原断层上的无人机上的低成本数码相机获取的图像，研究了SfM摄影测量在模拟断裂带地形方面的适用性。以现有机载激光雷达数据为基准，详细评估了sfm衍生地形的分辨率和精度。结果表明，SfM摄影测量产生的点云密度比机载激光雷达产生的点云密度高近70倍。此外，考虑到激光雷达数据本身的误差，SfM点云的精度与激光雷达点云的精度相当。总的来说，我们的研究结果表明，基于无人机的SfM摄影测量方法可以为断裂带的地形测绘提供廉价、有效和灵活的替代机载激光雷达。
ABSTRACT High-precision and high-resolution topography is the basis of the quantitative study of active faults. Light detection and ranging (lidar) is currently the most popular method for obtaining such data, but its relatively high cost greatly limits its use in many geoscience applications. Recently, with the rapid development of computer vision science and the growing application of small unmanned aerial vehicles (UAVs), Structure from Motion (SfM) photogrammetry shows great potential for providing topographic information of comparable resolution and precision to lidar surveys, but at significantly lower cost. In this study, we examined the applicability of SfM photogrammetry in modelling the topography of the fault zone using images acquired with a low-cost digital camera mounted on a UAV over the Haiyuan fault. The resolution and accuracy of the SfM-derived topography were evaluated in detail using existing airborne lidar data as a benchmark. The results show that the density of the point cloud generated by SfM photogrammetry is nearly 70 times higher than that from the airborne lidar. Furthermore, considering the errors in the lidar data itself, the precision of the SfM point cloud is comparable to that of the lidar point cloud. Overall, our results demonstrate that the UAV-based SfM photogrammetry method can provide an inexpensive, effective, and flexible alternative to airborne lidar for the topography mapping of the fault zone.