Fusion of ocean data from multiple sources using deep learning: Utilizing sea temperature as an example

Fusion of ocean data from multiple sources using deep learning: Utilizing sea temperature as an example

For investigating ocean activities and comprehending the role of the oceans in global climate change, it is essential to gather high-quality ocean data. However, existing ocean observation data have deficiencies such as inconsistent spatial and temporal distribution, severe fragmentation, and restri...

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Bibliographic Details
Main Authors: Mingqing Wang, Danni Wang, Yanfei Xiang, Yishuang Liang, Ruixue Xia, Jinkun Yang, Fanghua Xu, Xiaomeng Huang
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-02-01
Series:Frontiers in Marine Science
Subjects:
data fusion
three-dimensional ocean datasets
deep learning
attention mechanisms
physics-based prior knowledge
Online Access:https://www.frontiersin.org/articles/10.3389/fmars.2023.1112065/full

Internet

https://www.frontiersin.org/articles/10.3389/fmars.2023.1112065/full

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