CNN-SENet: a GNSS-R ocean wind speed retrieval model integrating CNN and SENet attention mechanism

CNN-SENet: a GNSS-R ocean wind speed retrieval model integrating CNN and SENet attention mechanism

Abstract The retrieval of sea surface wind speed is a key application of Global Navigation Satellite System-Reflectometry (GNSS-R). The continuous advancement of deep learning technologies has enabled the application of Convolutional Neural Network (CNN) models to retrieve sea surface wind speed fro...

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Bibliographic Details
Main Authors: Yimin Xia, Dongliang Guan, Zhiling Zhou
Format: Article
Language:English
Published: SpringerOpen 2025-06-01
Series:Satellite Navigation
Subjects:
Global navigation satellite system-reflectometry
Convolutional neural network
Squeeze-and-excitation network attention mechanism
Sea surface wind speed
Online Access:https://doi.org/10.1186/s43020-024-00157-2
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https://doi.org/10.1186/s43020-024-00157-2

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