Solar Radio Burst Detection Based on the MobileViT-SSDLite Lightweight Model | |
He, Hailan1; Yuan, Guowu1,2; Zhou, Hao1,2; Tan, Chengming3,4; Guo SJ(郭少杰)5 | |
发表期刊 | ASTROPHYSICAL JOURNAL SUPPLEMENT SERIES |
2023-12-01 | |
卷号 | 269期号:2 |
DOI | 10.3847/1538-4365/ad036c |
产权排序 | 第5完成单位 |
收录类别 | SCI |
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. |
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 |
项目资助者 | 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] |
语种 | 英语 |
学科领域 | 天文学 |
文章类型 | Article |
出版者 | IOP Publishing Ltd |
出版地 | TEMPLE CIRCUS, TEMPLE WAY, BRISTOL BS1 6BE, ENGLAND |
ISSN | 0067-0049 |
URL | 查看原文 |
WOS记录号 | WOS:001111146800001 |
WOS研究方向 | Astronomy & Astrophysics |
WOS类目 | Astronomy & Astrophysics |
引用统计 | |
文献类型 | 期刊论文 |
版本 | 出版稿 |
条目标识符 | http://ir.ynao.ac.cn/handle/114a53/26480 |
专题 | 射电天文研究组 |
作者单位 | 1.School of Information Science & Engineering, Yunnan University, Kunming 650504, People's Republic of China; [email protected]; 2.Yunnan Key Laboratory of Intelligent Systems and Computing, Kunming 650504, People's Republic of China; 3.State Key Laboratory of Space Weather, National Space Science Center, Beijing 100864, People's Republic of China; 4.School of Astronomy and Space Sciences, University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China; 5.Yunnan Observatories, Chinese Academy of Sciences, Kunming 650216, People's Republic of China |
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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