Global TEC Map Fusion Through a Hybrid Deep Learning Model: RFGAN

Abstract Timely, reliable and comprehensive global observation information is essential for space weather research. However, limited observation technology hinders the consecutive global coverage of observation data. For the integrity and continuity of the global observation data, deep learning can...

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Bibliographic Details
Main Authors: Zhou Chen, Kecheng Zhou, Haimeng Li, Jing‐song Wang, Zhihai Ouyang, Xiaohua Deng
Format: Article
Language:English
Published: Wiley 2023-01-01
Series:Space Weather
Online Access:https://doi.org/10.1029/2022SW003341
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