Oceanic Eddy Identification Using Pyramid Split Attention U-Net With Remote Sensing Imagery

Author:

Zhao Nan1,Huang Baoxiang1ORCID,Yang Jie2,Radenkovic Milena3ORCID,Chen Ge2ORCID

Affiliation:

1. Department of Computer Science and Technology, Qingdao University, Qingdao, China

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

3. School of Computer Science and Information Technology, University of Nottingham, Nottingham, U.K

Funder

National Natural Science Foundation of China

International Research Center of Big Data for Sustainable Development Goals

Natural Science Foundation of Shandong Province

Laoshan Laboratory

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Geotechnical Engineering and Engineering Geology

Reference24 articles.

1. U-Net: Convolutional networks for biomedical image segmentation;ronneberger;Proc Int Conf Med Image Comput Comput -Assist Intervent,2015

2. Identifying Oceanic Eddy With an Edge-Enhanced Multiscale Convolutional Network

3. EddyNet: A Deep Neural Network For Pixel-Wise Classification of Oceanic Eddies

4. Encoder–decoder with atrous separable convolution for semantic image segmentation;chen;Proc Eur Conf Comput Vis (ECCV),2018

5. Oceanic Eddy Identification Using an AI Scheme

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