Global Oceanic Eddy-Front Associations From Synergetic Remote Sensing Data by Deep Learning-Reference-Cited by-同舟云学术

Global Oceanic Eddy-Front Associations From Synergetic Remote Sensing Data by Deep Learning

Author:

Ma Ying¹^ORCID,Tian Fenglin¹^ORCID,Long Shuang¹,Huang Baoxiang²^ORCID,Liu Wen³,Chen Ge¹^ORCID

Affiliation:

1. Frontiers Science Center for Deep Ocean Multispheres and Earth System, School of Marine Technology, Ocean University of China, Qingdao, China

2. Laboratory for Regional Oceanography and Numerical Modeling, Laoshan Laboratory, Qingdao, China

3. Faculty of Information Science and Engineering, Ocean University of China, Qingdao, China

Funder

International Research Center of Big Data for Sustainable Development Goals

Science and Technology Innovation Project for Laoshan Laboratory

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Geotechnical Engineering and Engineering Geology

Link

Reference20 articles.

1. Convolutional neural networks for the segmentation of oceanic eddies from altimetric maps;lguensat;Remote Sens,2018

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