Collaborative Estimation of Tropical Cyclone Wind Radii With Multitask Learning and Multiteacher Distillation
Wind radii provide a quantitative measure of the structural characteristics of tropical cyclones (TCs), and accurate estimation of wind radii is crucial for disaster prevention and emergency response. In recent years, deep learning has exhibited tremendous potential in estimating TC wind radii. Howe...
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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/10989238/ |
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