A New GNSS-R Altimetry Algorithm Based on Machine Learning Fusion Model and Feature Optimization to Improve the Precision of Sea Surface Height Retrieval

A New GNSS-R Altimetry Algorithm Based on Machine Learning Fusion Model and Feature Optimization to Improve the Precision of Sea Surface Height Retrieval

The global navigation satellite system reflectometer (GNSS-R) can improve the observation and inversion of mesoscale by increasing the spatial coverage of ocean surface observations. The traditional retracking method is an empirical model with lower accuracy and condenses the Delay-Doppler Map infor...

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Bibliographic Details
Main Authors: Qiang Wang, Wei Zheng, Fan Wu, Aigong Xu, Huizhong Zhu, Zongqiang Liu
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-08-01
Series:Frontiers in Earth Science
Subjects:
GNSS-r altimetry
machine learning
wave retracking
sea surface height inversion
feature engineering
model fusion
Online Access:https://www.frontiersin.org/articles/10.3389/feart.2021.730565/full

Internet

https://www.frontiersin.org/articles/10.3389/feart.2021.730565/full

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