A Deep-Learning-Based Fusion Approach for Global Cyclone Detection Using Multiple Remote Sensing Data

Author:

Xie Ming1ORCID,Li Ying1,Dong Shuang1

Affiliation:

1. Navigation College, Dalian Maritime University, Dalian, China

Funder

China National Key R&D Program

Liaoning Revitalization Talents Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atmospheric Science,Computers in Earth Sciences

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

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3. SIMMKD: Simple Mask-Flow Keypoint Detection for Both Typhoon Detection and Typhoon Eye Location;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

4. Determination of Low-Intensity Tropical Cyclone Centers in Geostationary Satellite Images Using a Physics-Enhanced Deep-Learning Model;IEEE Transactions on Geoscience and Remote Sensing;2024

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