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Enhancing Tropical Cyclone Intensity Estimation from Satellite Imagery through Deep Learning Techniques

Wen YANG Jianfang FEI Xiaogang HUANG Juli DING Xiaoping CHENG

气象学报(英文版)2024,Vol.38Issue(4):652-663,12.
气象学报(英文版)2024,Vol.38Issue(4):652-663,12.DOI:10.1007/s13351-024-3186-y

Enhancing Tropical Cyclone Intensity Estimation from Satellite Imagery through Deep Learning Techniques

Enhancing Tropical Cyclone Intensity Estimation from Satellite Imagery through Deep Learning Techniques

Wen YANG 1Jianfang FEI 2Xiaogang HUANG 2Juli DING 2Xiaoping CHENG2

作者信息

  • 1. College of Meteorology and Oceanography,National University of Defense Technology,Changsha 410008||Beijing Institute of Applied Meteorology,Beijing 100029
  • 2. College of Meteorology and Oceanography,National University of Defense Technology,Changsha 410008
  • 折叠

摘要

关键词

tropical cyclone/intensity/deep learning/satellite imagery

Key words

tropical cyclone/intensity/deep learning/satellite imagery

引用本文复制引用

Wen YANG,Jianfang FEI,Xiaogang HUANG,Juli DING,Xiaoping CHENG..Enhancing Tropical Cyclone Intensity Estimation from Satellite Imagery through Deep Learning Techniques[J].气象学报(英文版),2024,38(4):652-663,12.

基金项目

Supported by the National Natural Science Foundation of China(42192552). (42192552)

气象学报(英文版)

OACSTPCD

0894-0525

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