Engineering and Technology - Research article
Outlier detection in GNSS position time series
- National University of Civil Engineering, Hanoi, Vietnam
- Enterprise of Natural Resource and Environment - Marine Environment, Hanoi, Vietnam
Correspondence to:
Trong Dinh Tran,
National University of Civil Engineering, Hanoi, Vietnam.
Email:
pvphuc@vnuhcm.edu.vn.
Published:
2016-06-30
Abstract
The continuous GNSS stations are used to determine the displacement velocities, seasonal variation, amplitude of tectonic activities,… 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.