A Deep-Learning-Based Fusion Approach for Global Cyclone Detection Using Multiple Remote Sensing Data
Cyclone detection is a classic yet developing topic. Various methods have been developed for the purpose of cyclone detection based on sea level pressure, cloud imagery, and wind field. In this article, a data fusion approach that utilizes the data productions from multiple remote sensors is present...
| Published in: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
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| Main Authors: | , , |
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2022-01-01
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| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9940529/ |