Determining the Deformation Monitorable Indicator of Point Cloud Using Error Ellipsoid
作者:Xuan, W (Xuan, Wei)[ 1 ] ; Hua, XH (Hua, Xianghong)[ 1,2 ] ; Zou, JG (Zou, Jingui)[ 1,2 ] ; He, XX (He, Xiaoxing)[ 1,3 ]
JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING
卷: 45
期: 1
页: 35-43
DOI: 10.1007/s12524-016-0580-7
出版年: FEB 2017
摘要
As the development of the terrestrial laser scanning (TLS) technique, deformation monitoring using TLS has attracted increasing attention in the field. To distinguish the deformation from the error of TLS point cloud and evaluate the deformation monitorable capacity of the point cloud, a deformation monitorable indicator (DMI) should be determined. In this paper, a new method for determining the DMI of point cloud is proposed. The kernel procedure of the method is the establishment of point error ellipsoid and point cloud error ellipsoid and is described firstly in the paper. Then the computation of the actual point error ellipsoid is derived considering the intersection between the neighboring error ellipsoids. The determination of DMI comes in the next by calculating the point position error of the deformation orientation based on the actual point error ellipsoid. Furthermore, the performance of proposed approach is illustrated with validation experiments of planar board displacement where deformations with different sampling intervals, different scanning distances and different incidence angles were simulated. From the analysis of the experiments, the results show the validation of the feasibility of determining the DMI by the proposed method. This technique was also applied to a monitoring event of bridge pylon, and the results confirm the feasibility of the DMI in a real case, as well.
作者信息
通讯作者地址: Hua, XH (通讯作者)
Wuhan Univ, Sch Geodesy & Geomat, 129 Luoyu Rd, Wuhan 430079, Peoples R China. |
通讯作者地址: Hua, XH (通讯作者)
Collaborat Innovat Ctr Geospatial Technol, 129 Luoyu Rd, Wuhan 430079, Peoples R China. |
地址:
[ 1 ] Wuhan Univ, Sch Geodesy & Geomat, 129 Luoyu Rd, Wuhan 430079, Peoples R China | |
[ 2 ] Collaborat Innovat Ctr Geospatial Technol, 129 Luoyu Rd, Wuhan 430079, Peoples R China | |
电子邮件地址:xhhua@sgg.whu.edu.cn
基金资助致谢
基金资助机构授权号
Changjang River Scientific Research Institute (CRSRI) Open Research Program | CKWV2014217/KY |
National Natural Science Foundation of China | 41174010 |
Jiangxi Province Key Lab for Digital Land | DLLJ201605 |
出版商
SPRINGER, 233 SPRING ST, NEW YORK, NY 10013 USA
类别 / 分类
研究方向:Environmental Sciences & Ecology; Remote Sensing
Web of Science 类别:Environmental Sciences; Remote Sensing
文献信息
文献类型:Article
语种:English
入藏号: WOS:000394243200004
ISSN: 0255-660X
eISSN: 0974-3006
期刊信息
Impact Factor (影响因子): 0.676