Sea Surface Temperature Prediction Method Based on Deep Generative Adversarial Network-Reference-Cited by-同舟云学术

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Sea Surface Temperature Prediction Method Based on Deep Generative Adversarial Network

Published:2024 Issue: Volume:17 Page:14704-14711
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:

Wang Jia¹,Zheng Gang²^ORCID,Yu Jiali¹^ORCID,Shao Jinliang³^ORCID,Zhou Yinfei²

Affiliation:

1. School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu, China

2. State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou, China

3. School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, China

Funder

Zhejiang Provincial Natural Science Foundation of China

National Natural Science Foundation of China

Scientific Research Fund of the Second Institute of Oceanography

Ministry of Natural Resources

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/4609443/10330207/10623893.pdf?arnumber=10623893

Reference27 articles.

1. Integrative Analysis of AltiKa-SSHa, MODIS-SST, and OCM-Chlorophyll Signatures for Fisheries Applications

2. The Leading Mode of Observed and CMIP5 ENSO-Residual Sea Surface Temperatures and Associated Changes in Indo-Pacific Climate*

3. Application of deep convolutional neural networks for ocean front recognition

4. Salient Band Selection for Hyperspectral Image Classification via Manifold Ranking

5. Tropical Atlantic SST Prediction with Coupled Ocean–Atmosphere GCMs

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