English | 武汉大学 | 院长信箱
点击展开菜单
科研论文
当前位置: > 科学研究 > 科研论文 >

[SCI]Extracting of six Deformation Parameters Using Improved ICP Matching Based on Terrestrial Laser Scanning Data

时间:2017-04-01 来源:未知 点击:
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.

关键词

作者关键词:DeformationSix parametersPoint cloudTLSICP

KeyWords Plus:SQUARES 3D SURFACE

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:

[ 1 ] Wuhan Univ Technol, Sch Resource & Environm Engn, 120 Luoshi Rd, Wuhan 430079, Hubei, Peoples R China
[ 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:cxj_0421@163.comgzhang58@163.comxhhua@sgg.whu.edu.cn

基金资助致谢
基金资助机构 授权号
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