Extracting Common Mode Errors of Regional GNSS Position Time Series in the Presence of Missing Data by Variational Bayesian Principal Component Analysis.

Li, Wudong; Jiang, Weiping; Li, Zhao; Chen, Hua; Chen, Qusen; Wang, Jian; Zhu, Guangbin

Li, Wudong; Jiang, Weiping; Li, Zhao; Chen, Hua; Chen, Qusen; Wang, Jian; Zhu, Guangbin.

Afiliación

Li W; School of Geodesy and Geomatics, Wuhan University, 129 Luoyu Road, Wuhan 430079, China.
Jiang W; School of Geodesy and Geomatics, Wuhan University, 129 Luoyu Road, Wuhan 430079, China.
Li Z; GNSS Research Center, Wuhan University, Wuhan 430079, China.
Chen H; Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, 181 Chatham Road South, Hung Hom, Kowloon 999077, Hong Kong, China.
Chen Q; School of Geodesy and Geomatics, Wuhan University, 129 Luoyu Road, Wuhan 430079, China.
Wang J; GNSS Research Center, Wuhan University, Wuhan 430079, China.
Zhu G; School of Geodesy and Geomatics, Wuhan University, 129 Luoyu Road, Wuhan 430079, China.

Sensors (Basel) ; 20(8)2020 Apr 17.

Article en En | MEDLINE | ID: mdl-32316478

Palabras clave

GNSS position time series; common mode error; missing data; variational Bayesian principal component analysis

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Sensors (Basel) Año: 2020 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza

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