New publication
"Discontinuity Detection in GNSS Station Coordinate Time Series Using Machine Learning" by Crocetti et al. (2021)
A new paper about “Discontinuity Detection in GNSS Station Coordinate Time Series Using Machine Learning” has been recently published by Laura Crocetti et al. in the Special Issue "Data Science and Machine Learning for Geodetic Earth Observation" of the MDPI Journal Remote Sensing. The paper demonstrates how it is possible to use machine learning algorithms to detect discontinuities in GNSS station coordinate time series.
The paper is open access and can be found here:
external page https://www.mdpi.com/2072-4292/13/19/3906
