Tropical Cyclone Intensity Estimation Based on Satellite Microwave Brightness Temperature Data: Utilizing the Maa Network and Dual-Branch Network Training Method-Reference-Cited by-同舟云学术

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Tropical Cyclone Intensity Estimation Based on Satellite Microwave Brightness Temperature Data: Utilizing the Maa Network and Dual-Branch Network Training Method

Published:2024-07-07 Issue: Volume: Page:7146-7150
ISSN:
Container-title:IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium
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Author:

Jiang Wenjie¹,Zhang Huinan¹,Tian Miao²

Affiliation:

1. University of Electronic Science and Technology of China,Research Institute of Electronic Science and Technology,Chengdu,China

2. University of Electronic Science and Technology of China,School of Information and Communication Engineering,Chengdu,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10640349/10640352/10642015.pdf?arnumber=10642015

Reference17 articles.

1. Tropical Cyclones and Climate Change Assessment: Part I: Detection and Attribution

2. ‘Natural’ disaster? A retrospect into the causes of the late-2004 typhoon disaster in Eastern Luzon, Philippines

3. A Comparative Study of Typhoon Hato (2017) and Typhoon Mangkhut (2018)—Their Impacts on Coastal Inundation in Macau

4. Tropical Cyclone Intensity Analysis and Forecasting from Satellite Imagery

5. Tropical Cyclone Intensity Estimation Using Two-Branch Convolutional Neural Network From Infrared and Water Vapor Images

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