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Lightning-generated Whistlers recognition for accurate disaster monitoring in China and its surrounding areas based on a homologous dual-feature information enhancement framework

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成果类型:
期刊论文
作者:
Wang, Zijie;Yi, Jizheng;Yuan, Jing;Hu, Ronglong;Peng, Xiangji;...
通讯作者:
Yi, JZ
作者机构:
[Wang, Zijie; Yi, Jizheng; Hu, Ronglong; Chen, Aibin; Peng, Xiangji; Yi, JZ] Cent South Univ Forestry & Technol, Coll Comp & Informat Engn, Changsha 410004, Peoples R China.
[Yi, Jizheng] Carbon Sinks Forests Variety Innovat Ctr, Yuelushan Lab, Changsha 410000, Peoples R China.
[Yuan, Jing] Inst Disaster Prevent, Langfang 065201, Peoples R China.
[Shen, Xuhui] Minist Emergency Management China, Natl Inst Nat Hazards, Beijing 100085, Peoples R China.
通讯机构:
[Yi, JZ ] C
Cent South Univ Forestry & Technol, Coll Comp & Informat Engn, Changsha 410004, Peoples R China.
语种:
英文
关键词:
Lightning-generated Whistlers;Disaster monitoring;Electromagnetic satellite;Deep learning;Audio recognition
期刊:
Remote Sensing of Environment
ISSN:
0034-4257
年:
2024
卷:
304
页码:
114021
基金类别:
CRediT authorship contribution statement Zijie Wang: Writing – review & editing, Writing – original draft, Visualization, Validation, Methodology, Investigation, Formal analysis. Jizheng Yi: Writing – review & editing, Supervision, Resources, Project administration, Methodology, Investigation, acquisition. Jing Yuan: Resources, Project administration, Investigation, Data curation. Ronglong Hu: Writing – original draft, Methodology, Investigation, Formal analysis. Xiangji Peng: Writing – original draft. Aibin Chen: Supervision.
机构署名:
本校为第一且通讯机构
院系归属:
计算机与信息工程学院
摘要:
Natural disasters, such as earthquakes and volcanic eruptions, pose a significant threat to Earth’s biodiversity and ecological environment. The ability of Lightning-generated Whistlers (LWs) to foresee these events is invaluable. However, the accurate recognition of LWs is hindered due to the spatial environmental interference and a lack of comprehensive information. This study proposes a novel framework called Dual-features Information Enhancement Framework (DIEF) with three versions: the cost-effective DIEF-B, the highly accurate DIEF-M, an...

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