Deep Learning Approach for Tropical Cyclones Classification Based on C-Band Sentinel-1 SAR Images
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Publisher
IEEE
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http://xplorestaging.ieee.org/ielx7/9553015/9553016/09554111.pdf?arnumber=9554111
Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Hybrid CMOD-Diffusion Algorithm Applied to Sentinel-1 for More Robust and Precise Wind Retrieval;Remote Sensing;2024-08-05
2. A Deep Learning Based Novel Approach For Identifying Cyclone with XVNET Framework;2024 International Conference on Recent Advances in Electrical, Electronics, Ubiquitous Communication, and Computational Intelligence (RAEEUCCI);2024-04-17
3. Cyclone Intensity Estimation Based on Deep - Learning Using Insat 3D IR Imagery;2023 International Conference on Energy, Materials and Communication Engineering (ICEMCE);2023-12-14
4. An Ensemble Machine Learning Approach for Tropical Cyclone Localization and Tracking From ERA5 Reanalysis Data;Earth and Space Science;2023-11
5. Improved forecasting of extreme hurricane events by integrating spatio-temporal CNN-RF learning of tropical cyclone characteristics;Frontiers in Earth Science;2023-07-20
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