Identification of tropical cyclone centre based on satellite images via deep learning techniques-Reference-Cited by-同舟云学术

Identification of tropical cyclone centre based on satellite images via deep learning techniques

Published:2022-11-14 Issue:16 Volume:42 Page:10373-10386
ISSN:0899-8418
Container-title:International Journal of Climatology
language:en
Short-container-title:Intl Journal of Climatology

Author:

Long Teng¹^ORCID,Fu Jiyang¹,Tong Biao¹,Chan Pakwai²,He Yuncheng¹^ORCID

Affiliation:

1. Research Center for Wind Engineering and Engineering Vibration Guangzhou University Guangzhou China

2. Hong Kong Observatory Hong Kong China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Atmospheric Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/joc.7909

Reference53 articles.

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2. Satellite Observations on Cyclone-Induced Upper Ocean Cooling and Modulation of Surface Winds—A Study on Tropical Ocean Region

3. Bochkovskiy A. Wang C. Y.andLiao H. Y. M.(2020)YOLOv4: optimal speed and accuracy of object detection. arXiv:2004.10934.

4. Machine Learning in Tropical Cyclone Forecast Modeling: A Review

5. Dvorak V. F.(1984)Tropical cyclone intensity analysis using satellite data. NOAA technical report NESDIS 11.

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