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Automatic Detection of Solar Radio Spectrum Based on Codebook Model
Li, Guoliang1; Yuan, Guowu1,2; Zhou, Hao1; Wu, Hao1; Tan, Chengming2; Dong L(董亮)3; Gao GN(高冠男)3; Wang M(汪敏)3
Source PublicationData Science - Proceedings of 6th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2020 - Communications in Computer and Information Science
2020
Volume1257
Pages447-460
DOI10.1007/978-981-15-7981-3_33
Contribution Rank第3完成单位
Indexed ByEI
Conference Name6th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2020
Conference Date2020-09-18
Conference PlaceTaiyuan, China
Abstract

Space weather can affect human production and life, and solar radio burst will seriously affect space weather. Automatic detection of solar radio bursts in real time has a positive effect on space weather warning and prediction. Codebook model is used to simulate solar background radio to achieve automatic detection of solar radio bursts in this paper. Firstly, channel normalization was used to eliminate channel difference of original radio data. Then, a new automatic detection method for solar radio bursts based on codebook model was proposed to detect radio bursts. Finally, morphological processing was implemented to obtain burst parameters by detecting binary burst area. The experimental results show that the proposed method is effective.

Funding ProjectNatural Science Foundation of China[11663007] ; Natural Science Foundation of China[11703089] ; Natural Science Foundation of China[41764007] ; Natural Science Foundation of China[61802337] ; Natural Science Foundation of China[U1831201] ; Open Project of Key Laboratory of Celestial Structure and Evolution, Chinese Academy of Sciences [OP201510] ; Research Foundation of Yunnan Province[2018FB100] ; Scientific Research of Yunnan Provincial Education Department[2018JS011] ; Action Plan of Yunnan University Serving for Yunnan
Funding OrganizationNatural Science Foundation of China[11663007, 11703089, 41764007, 61802337, U1831201] ; Open Project of Key Laboratory of Celestial Structure and Evolution, Chinese Academy of Sciences [OP201510] ; Research Foundation of Yunnan Province[2018FB100] ; Scientific Research of Yunnan Provincial Education Department[2018JS011] ; Action Plan of Yunnan University Serving for Yunnan
Language英语
Subject Area天文学 ; 射电天文学
MOST Discipline Catalogue理学 ; 理学::天文学
SubtypeConference article (CA)
PublisherSpringer
ISBN9789811579806
ISSN1865-0929
EI Accession Number20203609129680
EI Keywordsredictive analytics
EI Classification Number657.2 Extraterrestrial Physics and Stellar Phenomena
Citation statistics
Document Type会议论文
Identifierhttp://ir.ynao.ac.cn/handle/114a53/23640
Collection射电天文研究组
Corresponding AuthorYuan, Guowu
Affiliation1.School of Information Science and Engineering, Yunnan University, Kunming, 650091, China
2.CAS Key Laboratory of Solar Activity, National Astronomical Observatories of Chinese Academy of Sciences, Beijing, 100012, China
3.Yunnan Observatories, Chinese Academy of Sciences, Kunming, 650011, China
Recommended Citation
GB/T 7714
Li, Guoliang,Yuan, Guowu,Zhou, Hao,et al. Automatic Detection of Solar Radio Spectrum Based on Codebook Model[C]:Springer,2020:447-460.
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