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Total least-squares estimation for 2D affine coordinate transformation with constraints on physical parameters

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成果类型:
期刊论文
作者:
Zhang, Songlin;Zhang, Kun*;Liu, Pengcheng
通讯作者:
Zhang, Kun
作者机构:
[Zhang, Songlin] Tongji Univ, Coll Surveying & Geoinformat, Shanghai 200092, Peoples R China.
[Zhang, Kun] East China Normal Univ, Lab Geog Informat Sci, Shanghai 200062, Peoples R China.
[Liu, Pengcheng] Cent China Normal Univ, Coll Urban & Environm Sci, Wuhan 430079, Peoples R China.
通讯机构:
[Zhang, Kun] E
East China Normal Univ, Lab Geog Informat Sci, Shanghai 200062, Peoples R China.
语种:
英文
关键词:
CEIV model;2D affine transformation;Constraints;Iterative algorithm
期刊:
JOURNAL OF SURVEYING ENGINEERING
ISSN:
0733-9453
年:
2016
卷:
142
期:
3
页码:
04016009-null
基金类别:
National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [41174003]
机构署名:
本校为其他机构
院系归属:
城市与环境科学学院
摘要:
The error-in-variable (EIV) model takes the error of all variables into account and has been widely applied to many practical problems arising in environmental study, geology, geographic information science (GIS), and geodesy. Coordinate transformations are among the most frequently encountered problems in spatial data processing, and the EIV model can be built based on two sets of coordinates. In some applications, physical parameters-such as the shift, rotation angle, and scale factor-have constraints. Current implementations of the constrained EIV (CEIV) model do not consider physical const...

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