Retrieving Ocean Surface Winds and Waves from Augmented Dual-Polarization Sentinel-1 SAR Data Using Deep Convolutional Residual Networks

Retrieving Ocean Surface Winds and Waves from Augmented Dual-Polarization Sentinel-1 SAR Data Using Deep Convolutional Residual Networks

Sea surface winds and waves are very important phenomena that exist in the air–sea boundary layer. With the advent of climate change, cascade effects are bringing more attention to these phenomena as warmer sea surface temperatures bring about stronger winds, thereby altering global wave conditions....

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Bibliographic Details
Main Authors: Sihan Xue, Lingsheng Meng, Xupu Geng, Haiyang Sun, Deanna Edwing, Xiao-Hai Yan
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Atmosphere
Subjects:
convolutional residual networks
sea surface wind
ocean wave
SAR
Sentinel-1
Online Access:https://www.mdpi.com/2073-4433/14/8/1272

Internet

https://www.mdpi.com/2073-4433/14/8/1272

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