Super-resolution of sea surface temperature with convolutional neural network- and generative adversarial network-based methods
Author:
Affiliation:
1. Graduate School of Science and Technology, Kumamoto University, 2-39-1 Kurokami, Chuo-ku, Kumamoto 860-8555, Japan
2. Faculty of Advanced Science and Technology, Kumamoto University, 2-39-1 Kurokami, Chuo-ku, Kumamoto 860-8555, Japan
Abstract
Publisher
IWA Publishing
Subject
Management, Monitoring, Policy and Law,Atmospheric Science,Water Science and Technology,Global and Planetary Change
Link
https://iwaponline.com/jwcc/article-pdf/13/4/1673/1042974/jwc0131673.pdf
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