The continuous GNSS stations are used to determine the displacement velocities, seasonal variation, amplitude of tectonic activities,â€¦ To accurately determine these factors, the first is to remove outliers in GNSS position time series. In general, filtering approaches are subjectively selected based on the experience and visual interpretation of experts. Therefore, the process may lead to a waste of time or confusion, especially for stations with long-term continuously recorded data. The purpose of paper is to introduce the applicability of several algorithms and methods of filtering outliers in GNSS position time series.
Copyright: The Authors. This is an open access article distributed under the terms of the Creative Commons Attribution License CC-BY 4.0., which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
How to Cite
Tran, T., Dao, T., Vu, T., Luong, D., Vu, C., Bui, S., & Ha, H. (2016). Outlier detection in GNSS position time series. Science and Technology Development Journal, 19(2), 43-50. https://doi.org/https://doi.org/10.32508/stdj.v19i2.665
Science and Technology Development Journal (1859-0128) is published by
Science and Technology Development Journal (STDJ) (1859-0128) is the official journal of Viet Nam National University Ho Chi Minh City, Viet Nam, published by Viet Nam National University Ho Chi Minh City, Viet Nam. Science & Technology Development Journal is a multiple discipline science journal covering from natural science, engineering & technology, humanities, art, laws, economics, earth science, environment, social sciences and health sciences.