Automatic Detection of Solar Radio Spectrum Based on Codebook Model

doi:10.1007/978-981-15-7981-3_33

YNAO OpenIR > 射电天文研究组

	Automatic Detection of Solar Radio Spectrum Based on Codebook Model
	Li, Guoliang 1; Yuan, Guowu 1,2; Zhou, Hao 1; Wu, Hao 1; Tan, Chengming 2; Dong L(董亮)3 ; Gao GN(高冠男)3 ; Wang M(汪敏)3
会议录名称	Data Science - Proceedings of 6th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2020 - Communications in Computer and Information Science
	2020
卷号	1257
页码	447-460
DOI	10.1007/978-981-15-7981-3_33
产权排序	第3完成单位
收录类别	EI
会议名称	6th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2020
会议日期	2020-09-18
会议地点	Taiyuan, China
摘要	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.
资助项目	Natural 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
项目资助者	Natural 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
语种	英语
学科领域	天文学 ; 射电天文学
文章类型	Conference article (CA)
出版者	Springer
ISBN号	9789811579806
ISSN号	1865-0929
URL	查看原文
EI入藏号	20203609129680
EI主题词	redictive analytics
EI分类号	657.2 Extraterrestrial Physics and Stellar Phenomena
引用统计
文献类型	会议论文
条目标识符	http://ir.ynao.ac.cn/handle/114a53/23640
专题	射电天文研究组
通讯作者	Yuan, Guowu
作者单位	1.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
推荐引用方式 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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