Large-Scale Completion of Ionospheric TEC Maps Using Machine Learning Models With Constraints Conditions
Total electron content (TEC) is a key ionospheric parameter, but data gaps, especially over oceans, remain challenging due to sparse receiver coverage. Deep learning offers promising solutions for such problems. This study proposes a novel hybrid model combining a variational autoencoder (VAE) and a...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11066247/ |
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