A region-based convolutional fusion network for typhoon intensity estimation in satellite images
Author:
Funder
Shenzhen Science and Technology Innovation Commission
China Postdoctoral Science Foundation
Publisher
Elsevier BV
Reference44 articles.
1. Chen, B., Chen, B.-F., Chen, Y.-N., 2021. Real-time tropical cyclone intensity estimation by handling temporally heterogeneous satellite data. In: Proceedings of the AAAI Conference on Artificial Intelligence. Vol. 35, pp. 14721–14728.
2. Chen, B., Chen, B.-F., Lin, H.-T., 2018. Rotation-blended CNNs on a new open dataset for tropical cyclone image-to-intensity regression. In: Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. pp. 90–99.
3. Estimating tropical cyclone intensity by satellite imagery utilizing convolutional neural networks;Chen;Weather Forecast.,2019
4. Machine learning in tropical cyclone forecast modeling: A review;Chen;Atmosphere,2020
5. Objective tropical cyclone intensity estimation using analogs of spatial features in satellite data;Fetanat;Weather Forecast.,2013
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