Generative Adversarial Networks Capabilities for Super-Resolution Reconstruction of Weather Radar Echo Images

Generative Adversarial Networks Capabilities for Super-Resolution Reconstruction of Weather Radar Echo Images

<b> </b>Improving the resolution of degraded radar echo images of weather radar systems can aid severe weather forecasting and disaster prevention. Previous approaches to this problem include classical super-resolution (SR) algorithms such as iterative back-projection (IBP) and a recent...

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Bibliographic Details
Main Authors: Hongguang Chen, Xing Zhang, Yintian Liu, Qiangyu Zeng
Format: Article
Language:English
Published: MDPI AG 2019-09-01
Series:Atmosphere
Subjects:
weather radar
image super-resolution
generative adversarial networks
deep learning
Online Access:https://www.mdpi.com/2073-4433/10/9/555

Internet

https://www.mdpi.com/2073-4433/10/9/555

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