Toward automated hail disaster weather recognition based on spatio-temporal sequence of radar images

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成果类型：

期刊论文

作者：

Wang, Liuping;Chen, Ziyi*;Liu, Jinping;Zhang, Jin;Alkhateeb, Abdulhameed F.

通讯作者：

Chen, Ziyi;Zhang, J

作者机构：

[Zhang, Jin; Chen, Ziyi; Liu, Jinping; Zhang, J; Wang, Liuping] Hunan Normal Univ, Coll Informat Sci & Engn, Changsha 410081, Peoples R China.

[Zhang, Jin; Zhang, J] Changsha Univ Sci & Technol, Sch Comp & Commun Engn, Changsha 410114, Peoples R China.

[Liu, Jinping] Hunan Normal Univ, Key Lab Comp & Stochast Math, Minist Educ, Changsha 410081, Peoples R China.

[Alkhateeb, Abdulhameed F.] King Abdulaziz Univ, Fac Engn, Dept Elect & Comp Engn, Commun Syst & Networks Res Grp, Jeddah, Saudi Arabia.

通讯机构：

[Chen, ZY; Zhang, J ] H

Hunan Normal Univ, Coll Informat Sci & Engn, Changsha 410081, Peoples R China.

Changsha Univ Sci & Technol, Sch Comp & Commun Engn, Changsha 410114, Peoples R China.

语种：

英文

关键词：

radar reflectivity images;hail recognition;strong-echo areas;spatio-temporal radar image sequences;meteorological data;68T07

期刊：

DEMONSTRATIO MATHEMATICA

ISSN：

0420-1213

年：

2024

卷：

期：

页码：

DOI：

10.1515/dema-2023-0262

基金类别：

Institutional Fund Projects [IFPIP: 489-135-1443]; Ministry of Education and King Abdulaziz University, DSR, Jeddah, Saudi Arabia

机构署名：

本校为通讯机构

院系归属：

计算机与通信工程学院

摘要：

Hail, an intense convective catastrophic weather, is seriously hazardous to people's lives and properties. This article proposes a multi-step cyclone hail weather recognition model, called long short-term memory (LSTM)-C3D, based on radar images, integrating attention mechanism and network voting optimization characteristics to achieve intelligent recognition and accurate classification of hailstorm weather based on long short-term memory networks. Based on radar echo data in the strong-echo region, LSTM-C3D can selectively fuse the long short-term time feature information of hail meteorologic...

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Toward automated hail disaster weather recognition based on spatio-temporal sequence of radar images

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