Assessment of spatiotemporal filtering methods towards optimising crustal movement observation network of China (CMONOC) GNSS data processing at different spatial scales-Reference-Cited by-同舟云学术

Assessment of spatiotemporal filtering methods towards optimising crustal movement observation network of China (CMONOC) GNSS data processing at different spatial scales

Published:2022-07-18 Issue:1 Volume:34 Page:107-119
ISSN:2766-9645
Container-title:All Earth
language:en
Short-container-title:All Earth

Author:

Wang Hao¹,Li Wenhao¹,Shu Chanfang¹,Shum C. K.²^ORCID,Li Fei³⁴^ORCID,Zhang Shengkai⁴,Zhang Zikang¹

Affiliation:

1. School of Geomatics Science and Technology, Nanjing Tech University, Nanjing, China

2. Division of Geodetic Science, School of Earth Sciences, Ohio State University, Columbus, OH, USA

3. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China

4. Chinese Antarctic Center of Surveying and Mapping, Wuhan University, Wuhan, China

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences,Management, Monitoring, Policy and Law,Global and Planetary Change

Link

https://www.tandfonline.com/doi/pdf/10.1080/27669645.2022.2098611

Reference22 articles.

1. Independent component analysis, A new concept?

2. Accuracy enhancement of GPS time series using principal component analysis and block spatial filtering

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. CMONOC II Common Mode Error Analysis and Structural Region Division Research;Remote Sensing;2024-06-13

2. Potential Contributors to CME and Optimal Noise Model Analysis in the Chinese Region Based on Different HYDL Models;Remote Sensing;2023-02-08