Improving the SSH Retrieval Precision of Spaceborne GNSS-R Based on a New Grid Search Multihidden Layer Neural Network Feature Optimization Method

Improving the SSH Retrieval Precision of Spaceborne GNSS-R Based on a New Grid Search Multihidden Layer Neural Network Feature Optimization Method

The altimetry precision of conventional spaceborne Global Navigation Satellite Systems Reflectometry (GNSS-R) is limited, and the error models are complicated. To compensate for the shortcomings of conventional methods, we present a new grid search multihidden layer neural network feature optimizati...

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Bibliographic Details
Main Authors: Qiang Wang, Wei Zheng, Fan Wu, Huizhong Zhu, Aigong Xu, Yifan Shen, Yelong Zhao
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Remote Sensing
Subjects:
GSMHLFO
feature engineering
TDS-1
integral delay waveform
DTU18 MSS
Online Access:https://www.mdpi.com/2072-4292/14/13/3161

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