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A transfer learning framework for the real-time detection of atmospheric gravity waves from All-Sky Airglow Imager

YuBin He QingChen Xu YaJun Zhu QinZeng Li Cui Tu Bing Cai Wei Yuan XinYing Wang Feng Wei

地球与行星物理（英文）2026，Vol.10Issue(3)：454-462,9.

地球与行星物理（英文）2026，Vol.10Issue(3)：454-462,9.DOI:10.26464/epp2026046

A transfer learning framework for the real-time detection of atmospheric gravity waves from All-Sky Airglow Imager

YuBin He ¹QingChen Xu ¹YaJun Zhu ¹QinZeng Li ¹Cui Tu ¹Bing Cai ¹Wei Yuan ²XinYing Wang ²Feng Wei²

作者信息

1. State Key Laboratory of Solar Activity and Space Weather,National Space Science Center,Chinese Academy of Sciences,Beijing 100190,China||University of Chinese Academy of Sciences,Beijing 100049,China
2. State Key Laboratory of Solar Activity and Space Weather,National Space Science Center,Chinese Academy of Sciences,Beijing 100190,China
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摘要

关键词

atmospheric gravity waves/All-Sky Airglow Imager/real-time detection/multiscale fusion/transfer learning/EfficientNet-B3/deformable convolution

Key words

atmospheric gravity waves/All-Sky Airglow Imager/real-time detection/multiscale fusion/transfer learning/EfficientNet-B3/deformable convolution

引用本文复制引用

YuBin He,QingChen Xu,YaJun Zhu,QinZeng Li,Cui Tu,Bing Cai,Wei Yuan,XinYing Wang,Feng Wei..A transfer learning framework for the real-time detection of atmospheric gravity waves from All-Sky Airglow Imager[J].地球与行星物理（英文）,2026,10(3):454-462,9.

基金项目

This work was supported by the Strategic Priority Research Program of the Chinese Academy of Sciences(Grant No.XDA17010302)and the National Natural Science Foundation of China(Grant Nos.12241101,42174192,and 11872128). （Grant No.XDA17010302）

地球与行星物理（英文）

ISSN：2096-3955

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