Extracting of six Deformation Parameters Using Improved ICP Matching Based on Terrestrial Laser Scanning Data
作者:Chen, XJ (Chen, Xijiang)[ 1,3 ] ; Zhang, G (Zhang, Guang)[ 1,3 ] ; Hua, XH (Hua, Xianghong)[ 2 ] ; Wu, H (Wu, Hao)[ 1 ] ; Xuan, W (Xuan, Wei)[ 2 ]
JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING
卷: 45
期: 1
页: 123-130
DOI: 10.1007/s12524-016-0574-5
出版年: FEB 2017
摘要
Extraction of the magnitude and direction of deformation is an important issue. Deformation is typically extracted by comparing data related to a finite number of control point. However, such a method can only extract the magnitude of deformation, but not the direction of deformation. In this paper, the improved ICP model is exploited for extracting the deformation. The main idea of this method is the construction of improved ICP and the determination of the relationship between extraction of six deformation parameters and local matching. This proposed deformation extraction method is particularly suited for scenarios where the deformation area is 3D rigid-body. The performance of the proposed method is extensively evaluated numerically and experimentally according to the 3D rigid-body board deformation. It is important to note that the conclusions were achieved under non-ideal conditions, e.g. using non-calibrated TLS point cloud and non-special targets. Besides the simulation experiment, the validation results achieved on bridge test site are briefly discussed.
作者信息
通讯作者地址: Chen, XJ; Zhang, G (通讯作者)
Wuhan Univ Technol, Sch Resource & Environm Engn, 120 Luoshi Rd, Wuhan 430079, Hubei, Peoples R China. |
通讯作者地址: Hua, XH (通讯作者)
Wuhan Univ, Sch Geodesy & Geomat, 129 Luoyu Rd, Wuhan, Peoples R China. |
通讯作者地址: Chen, XJ; Zhang, G (通讯作者)
Wuhan Univ Technol, 122 Luosi Rd, Wuhan, Peoples R China. |
地址:
[ 2 ] Wuhan Univ, Sch Geodesy & Geomat, 129 Luoyu Rd, Wuhan, Peoples R China | |
[ 3 ] Wuhan Univ Technol, 122 Luosi Rd, Wuhan, Peoples R China |
电子邮件地址:[email protected]; [email protected]; [email protected]
基金资助致谢
National Natural Science Foundation of China | 415015024146400141304001 |
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:000394243200012
ISSN: 0255-660X
eISSN: 0974-3006
期刊信息
Impact Factor (影响因子): 0.676