Identifying Oceanic Eddy With an Edge-Enhanced Multiscale Convolutional Network-Reference-Cited by-同舟云学术

Identifying Oceanic Eddy With an Edge-Enhanced Multiscale Convolutional Network

Published:2022 Issue: Volume:15 Page:9198-9207
ISSN:1939-1404
Container-title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
language:
Short-container-title:IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Author:

Hang Renlong¹^ORCID,Li Gang¹,Xue Mei¹,Dong Changming²,Wei Jianfen³^ORCID

Affiliation:

1. Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, School of Computer, Nanjing University of Information Science and Technology, Nanjing, China

2. Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, China

3. School of Atmospheric Science and Remote Sensing, Wuxi University, Wuxi, China

Funder

Southern Marine Science and Engineering Guangdong Laboratory

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atmospheric Science,Computers in Earth Sciences

Link

http://xplorestaging.ieee.org/ielx7/4609443/9656571/09924559.pdf?arnumber=9924559

Reference42 articles.

1. Fully convolutional networks for semantic segmentation

2. A Probabilistic Interpretation of Precision, Recall and F-Score, with Implication for Evaluation

3. DEDNet: Offshore Eddy Detection and Location with HF Radar by Deep Learning

4. Pyramid Scene Parsing Network

5. Oceanic Eddy Identification Using an AI Scheme

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