Interpolation of GNSS Position Time Series Using GBDT, XGBoost, and RF Machine Learning Algorithms and Models Error Analysis

Interpolation of GNSS Position Time Series Using GBDT, XGBoost, and RF Machine Learning Algorithms and Models Error Analysis

The global navigation satellite system (GNSS) position time series provides essential data for geodynamic and geophysical studies. Interpolation of the GNSS position time series is necessary because missing data will produce inaccurate conclusions made from the studies. The spatio-temporal correlati...

Full description

Bibliographic Details
Main Authors: Zhen Li, Tieding Lu, Kegen Yu, Jie Wang
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Remote Sensing
Subjects:
GNSS position time series
interpolation
gradient boosting decision tree
eXtreme gradient boosting
random forest
Online Access:https://www.mdpi.com/2072-4292/15/18/4374

Internet

https://www.mdpi.com/2072-4292/15/18/4374

Similar Items