globalchange  > 气候变化事实与影响
Scopus记录号: 2-s2.0-84902275476
论文题名:
Image-based correlation of Laser Scanning point cloud time series for landslide monitoring
作者: Travelletti J; , Malet J; -P; , Delacourt C
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2014
卷: 32, 期:1
起始页码: 1
结束页码: 18
语种: 英语
英文关键词: Image correlation ; Kinematics ; Landslide ; Point clouds ; Strain analysis ; Terrestrial laser scanning
Scopus关键词: accuracy assessment ; correlation ; deformation ; environmental monitoring ; failure mechanism ; hazard assessment ; image analysis ; kinematics ; landslide ; laser method ; strain analysis ; three-dimensional modeling
英文摘要: Very high resolution monitoring of landslide kinematics is an important aspect for a physical understanding of the failure mechanisms and for quantifying the associated hazard. In the last decade, the potential of Terrestrial Laser Scanning (TLS) to monitor slow-moving landslides has been largely demonstrated but accurate processing methods are still needed to extract useful information available in point cloud time series. This work presents an approach to measure the 3D deformation and displacement patterns from repeated TLS surveys. The method is based on the simplification of a 3D matching problem in a 2D matching problem by using a 2D statistical normalized cross-correlation function. The computed displacement amplitudes are compared to displacements (1) calculated with the classical approach of Iterative Closest Point and (2) measured from repeated dGPS observations. The performance of the method is tested on a 3 years dataset acquired at the Super-Sauze landslide (South French Alps). The observed landslide displacements are heterogeneous in time and space. Within the landslide, sub-areas presenting different deformation patterns (extension, compression) are detected by a strain analysis. It is demonstrated that pore water pressure changes within the landslide is the main controlling factor of the kinematics. © 2014 Elsevier B.V. All rights reserved.
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79626
Appears in Collections:气候变化事实与影响

Files in This Item:

There are no files associated with this item.


作者单位: Institut de Physique du Globe de Strasbourg, CNRS UMR 7516, Université de Strasbourg/EOST, 5 rue René Descartes, 67084 Strasbourg Cedex, France; BEG, Bureau d'Etudes Géologiques SA, Rue de la Printse 4, 1994 Aproz, Switzerland; Université Européenne de Bretagne, Institut Universitaire de la Mer, CNRS UMR 6538, Université de Brest, Brest, France

Recommended Citation:
Travelletti J,, Malet J,-P,et al. Image-based correlation of Laser Scanning point cloud time series for landslide monitoring[J]. International Journal of Applied Earth Observation and Geoinformation,2014-01-01,32(1)
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[Travelletti J]'s Articles
[, Malet J]'s Articles
[-P]'s Articles
百度学术
Similar articles in Baidu Scholar
[Travelletti J]'s Articles
[, Malet J]'s Articles
[-P]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[Travelletti J]‘s Articles
[, Malet J]‘s Articles
[-P]‘s Articles
Related Copyright Policies
Null
收藏/分享
所有评论 (0)
暂无评论
 

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.