Outlier detection in GNSS position time series
Outlier detection in GNSS position time series is a scholarly work, published in 2016 in ''Science and Technology Development Journal''. The main subjects of the publication include Global Positioning System, artificial intelligence, remote sensing, position, phase, global navigation satellite system, anomaly detection, outlier, real-time computing, displacement, series, geodesy, computer science, inertial navigation system, data mining, computer vision, mental confusion, GNSS applications, and time series. The purpose of paper is to introduce the applicability of several algorithms and methods of filtering outliers in GNSS position time series..