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Solar Radio Burst Detection Based on the MobileViT-SSDLite Lightweight Model
He, Hailan5; Yuan, Guowu1,5; Zhou, Hao1,5; Tan, Chengming2,3; Guo SJ(郭少杰)4
刊名ASTROPHYSICAL JOURNAL SUPPLEMENT SERIES
2023-12-01
卷号269期号:2
ISSN号0067-0049
DOI10.3847/1538-4365/ad036c
产权排序第5完成单位
文献子类Article
英文摘要Real-time detection of solar radio bursts is crucial in solar physics research and space weather forecasting. However, current research on the automatic detection of solar radio bursts is limited to identifying the presence or absence of solar radio bursts or recognizing only a single type of burst, such as type II or III. Furthermore, existing methods cannot learn spectral and temporal features and often suffer from the drawbacks of large network models, resulting in slow speeds. This paper proposes an automatic recognition and localization method based on a lightweight object detection model for solar radio burst events. We collected observation data from e-CALLISTO and established a data set containing type II, III, IV, and V solar radio bursts. To address the real-time requirements of practical applications and consider the temporal and frequency domain information of spectrogram images, we improved a vision transformer with a self-attention mechanism and adopted a lightweight model for detection. The experimental results demonstrate that our proposed method achieves an average precision at a 50% intersection-over-union threshold of 78.2% and a recall rate of 92% on the established solar radio burst data set. Additionally, the model operates at a detection speed of 54.8 frames s-1, where a frame refers to a spectral image with a duration of 15 minutes, enabling efficient automated detection and localization of type II, III, IV, and V solar radio bursts.
学科主题天文学
URL标识查看原文
出版地TEMPLE CIRCUS, TEMPLE WAY, BRISTOL BS1 6BE, ENGLAND
资助项目National Natural Science Foundation of China; Foundation Project of Yunnan Province[202001BB050032]; Key R&D Projects of Yunnan Province[202202AD080004]; Yunnan Provincial Department of Science and Technology-Yunnan University Joint Special Project for Double-Class Construction
WOS研究方向Astronomy & Astrophysics
语种英语
出版者IOP Publishing Ltd
WOS记录号WOS:001111146800001
资助机构National Natural Science Foundation of China ; Foundation Project of Yunnan Province[202001BB050032] ; Key R&D Projects of Yunnan Province[202202AD080004] ; Yunnan Provincial Department of Science and Technology-Yunnan University Joint Special Project for Double-Class Construction[202201BF070001-005] ; [12263008] ; [62061049]
内容类型期刊论文
版本出版稿
源URL[http://ir.ynao.ac.cn/handle/114a53/26480]  
专题云南天文台_射电天文研究组
作者单位1.Yunnan Key Laboratory of Intelligent Systems and Computing, Kunming 650504, People's Republic of China;
2.State Key Laboratory of Space Weather, National Space Science Center, Beijing 100864, People's Republic of China;
3.School of Astronomy and Space Sciences, University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China;
4.Yunnan Observatories, Chinese Academy of Sciences, Kunming 650216, People's Republic of China
5.School of Information Science & Engineering, Yunnan University, Kunming 650504, People's Republic of China; gwyuan@ynu.edu.cn;
推荐引用方式
GB/T 7714
He, Hailan,Yuan, Guowu,Zhou, Hao,et al. Solar Radio Burst Detection Based on the MobileViT-SSDLite Lightweight Model[J]. ASTROPHYSICAL JOURNAL SUPPLEMENT SERIES,2023,269(2).
APA He, Hailan,Yuan, Guowu,Zhou, Hao,Tan, Chengming,&郭少杰.(2023).Solar Radio Burst Detection Based on the MobileViT-SSDLite Lightweight Model.ASTROPHYSICAL JOURNAL SUPPLEMENT SERIES,269(2).
MLA He, Hailan,et al."Solar Radio Burst Detection Based on the MobileViT-SSDLite Lightweight Model".ASTROPHYSICAL JOURNAL SUPPLEMENT SERIES 269.2(2023).
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