Reconstructing Ocean Subsurface Temperature and Salinity from Sea Surface Information Based on Dual Path Convolutional Neural Networks

Satellite remote sensing can provide observation information of the sea surface, and using the sea surface information to reconstruct the subsurface temperature (ST) and subsurface salinity (SS) information has significant application values. This study proposes an intelligent algorithm based on Dua...

書誌詳細
出版年:	Journal of Marine Science and Engineering
主要な著者:	Kai Mao, Chang Liu, Shaoqing Zhang, Feng Gao
フォーマット:	論文
言語:	英語
出版事項:	MDPI AG 2023-05-01
主題:	dual path convolutional neural networks deep learning subsurface ocean temperature and salinity satellite remote sensing observation
オンライン･アクセス:	https://www.mdpi.com/2077-1312/11/5/1030

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