An iterated reweighting total least squares algorithm formulated by standard least-squares theory-Reference-Cited by-同舟云学术

An iterated reweighting total least squares algorithm formulated by standard least-squares theory

Published:2020-10-19 Issue:380 Volume:53 Page:454-463
ISSN:0039-6265
Container-title:Survey Review
language:en
Short-container-title:Survey Review

Author:

Tao Wuyong¹^ORCID,Hua Xianghong¹,Li Peng²^ORCID,Wu Fei³,Feng Shaoquan¹,Xu Dong⁴

Affiliation:

1. School of Geodesy and Geomatics, Wuhan University, Wuhan, People’s Republic of China

2. School of Geographic Information and Tourism, Chuzhou University, Chuzhou, People’s Republic of China

3. Faculty of Geomatics, East China University of Technology, Nanchang, People’s Republic of China

4. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, People’s Republic of China

Funder

National Natural Science Foundation of China

China Scholarship Council

Publisher

Informa UK Limited

Subject

Earth and Planetary Sciences (miscellaneous),Computers in Earth Sciences,Civil and Structural Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/00396265.2020.1831829

Reference51 articles.

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4. Data-snooping procedure applied to errors-in-variables models

5. Baarda, W., 1968. A testing procedure for use in geodetic networks. Publications on geodesy, new series, Vol. 2, No. 5. Delft: Netherlands Geodetic Commission.

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