Landslide data mosaicking based on an airborne laser point cloud and multi-beam sonar images

doi:10.1007/s11629-019-5896-7

CORC > 成都山地灾害与环境研究所 > 中国科学院水利部成都山地灾害与环境研究所 > Journal of Mountain Science > Journal of Mountain Science-2020 > Vol17 No.9

	Landslide data mosaicking based on an airborne laser point cloud and multi-beam sonar images
	Ji, Hao-wei; Luo, Xian-qi; Zhou, Yong-jun
刊名	JOURNAL OF MOUNTAIN SCIENCE
	2020
卷号	17 期号:9 页码:2068-2080
关键词	Laser point cloud Airborne laser measurement Mosaicking method Multi-beam sonar images Shipborne Channel boundaries
ISSN号	1672-6316
DOI	10.1007/s11629-019-5896-7
文献子类	Article
英文摘要	Landslides are one of the most disastrous geological hazards in southwestern China. Once a landslide becomes unstable, it threatens the lives and safety of local residents. However, empirical studies on landslides have predominantly focused on landslides that occur on land. To this end, we aim to investigate ashore and underwater landslide data synchronously. This study proposes an optimized mosaicking method for ashore and underwater landslide data. This method fuses an airborne laser point cloud with multi-beam depth sounder images. Owing to their relatively high efficiency and large coverage area, airborne laser measurement systems are suitable for emergency investigations of landslides. Based on the airborne laser point cloud, the traversal of the point with the lowest elevation value in the point set can be used to perform rapid extraction of the crude channel boundaries. Further meticulous extraction of the channel boundaries is then implemented using the probability mean value optimization method. In addition, synthesis of the integrated ashore and underwater landslide data angle is realized using the spatial guide line between the channel boundaries and the underwater multi-beam sonar images. A landslide located on the right bank of the middle reaches of the Yalong River is selected as a case study to demonstrate that the proposed method has higher precision than traditional methods. The experimental results show that the mosaicking method in this study can meet the basic needs of landslide modeling and provide a basis for qualitative and quantitative analysis and stability prediction of landslides.
电子版国际标准刊号	1993-0321
语种	英语
WOS记录号	WOS:000571194200002
内容类型	期刊论文
源URL	[http://ir.imde.ac.cn/handle/131551/50480]
专题	Journal of Mountain Science_Journal of Mountain Science-2020_Vol17 No.9
推荐引用方式 GB/T 7714	Ji, Hao-wei,Luo, Xian-qi,Zhou, Yong-jun. Landslide data mosaicking based on an airborne laser point cloud and multi-beam sonar images[J]. JOURNAL OF MOUNTAIN SCIENCE,2020,17(9):2068-2080.
APA	Ji, Hao-wei,Luo, Xian-qi,&Zhou, Yong-jun.(2020).Landslide data mosaicking based on an airborne laser point cloud and multi-beam sonar images.JOURNAL OF MOUNTAIN SCIENCE,17(9),2068-2080.
MLA	Ji, Hao-wei,et al."Landslide data mosaicking based on an airborne laser point cloud and multi-beam sonar images".JOURNAL OF MOUNTAIN SCIENCE 17.9(2020):2068-2080.