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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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2023-01-01
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| Series: | Space Weather |
| Online Access: | https://doi.org/10.1029/2022SW003341 |
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