A Multiscale and Multilayer Feature Extraction Network With Dual Attention for Tropical Cyclone Intensity Estimation-Reference-Cited by-同舟云学术

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A Multiscale and Multilayer Feature Extraction Network With Dual Attention for Tropical Cyclone Intensity Estimation

Published:2024 Issue: Volume:62 Page:1-15
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Ma Zhaoyang¹^ORCID,Yan Yunfeng²^ORCID,Lin Jianmin³^ORCID,Ma Dongfang⁴^ORCID

Affiliation:

1. Institute of Marine Sensing and Networking, Zhejiang University, Zhoushan, China

2. College of Electrical Engineering, Zhejiang University, Hangzhou, China

3. Institute of Marine Sensing and Networking, Ocean College, Zhejiang University, Zhoushan, China

4. Key Laboratory of Ocean Observation-Imaging Testbed, Zhejiang University, Zhoushan, China

Funder

Fundamental Research Funds for the Central Universities

Zhoushan City-Zhejiang University Joint Specific Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/36/10354519/10379833.pdf?arnumber=10379833

Reference58 articles.

1. Tropical Cyclone Damages in China 1983–2006

2. Changes in tropical cyclone precipitation over China

3. Machine learning: Trends, perspectives, and prospects

4. Deep learning

5. Estimating Tropical Cyclone Intensity by Satellite Imagery Utilizing Convolutional Neural Networks

Cited by 2 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. Toward Robust Tropical Cyclone Wind Radii Estimation With Multimodality Fusion and Missing-Modality Distillation;IEEE Transactions on Geoscience and Remote Sensing;2024

2. Novel Perceptual Mach Band-Based Deep Attention Network for Cyclone Intensity Estimation;IEEE Transactions on Instrumentation and Measurement;2024

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