QQ客服 官方微博 反馈留言

	Using an unmanned aerial vehicle for topography mapping of the fault zone based on structure from motion photogrammetry
	Bi, Haiyun; Zheng, Wenjun; Ren, Zhikun; Zeng, Jiangyuan; Yu, Jingxing
	2016
卷号	0期号:0页码:1-16
英文摘要	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. © 2016 Informa UK Limited, trading as Taylor & Francis Group
收录类别	EI
语种	英语
WOS记录号	WOS:20164402966474
内容类型	期刊论文
源URL	[http://ir.radi.ac.cn/handle/183411/39685]
专题	遥感与数字地球研究所_SCI/EI期刊论文_期刊论文
推荐引用方式 GB/T 7714	Bi, Haiyun,Zheng, Wenjun,Ren, Zhikun,et al. Using an unmanned aerial vehicle for topography mapping of the fault zone based on structure from motion photogrammetry[J],2016,0(0):1-16.
APA	Bi, Haiyun,Zheng, Wenjun,Ren, Zhikun,Zeng, Jiangyuan,&Yu, Jingxing.(2016).Using an unmanned aerial vehicle for topography mapping of the fault zone based on structure from motion photogrammetry.,0(0),1-16.
MLA	Bi, Haiyun,et al."Using an unmanned aerial vehicle for topography mapping of the fault zone based on structure from motion photogrammetry".0.0(2016):1-16.

个性服务

查看访问统计

相关权益政策

暂无数据

收藏/分享

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。