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.
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Acknowledgments
This work is supported by the Natural Science Foundation of China (Grant No. 11663007, 11703089, 41764007, 61802337, U1831201), Open Project of Key Laboratory of Celestial Structure and Evolution, Chinese Academy of Sciences (Grant No. OP201510), the Research Foundation of Yunnan Province (No. 2018FB100), the Scientific Research of Yunnan Provincial Education Department (No. 2018JS011) and the Action Plan of Yunnan University Serving for Yunnan.
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Li, G. et al. (2020). Automatic Detection of Solar Radio Spectrum Based on Codebook Model. In: Zeng, J., Jing, W., Song, X., Lu, Z. (eds) Data Science. ICPCSEE 2020. Communications in Computer and Information Science, vol 1257. Springer, Singapore. https://doi.org/10.1007/978-981-15-7981-3_33
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DOI: https://doi.org/10.1007/978-981-15-7981-3_33
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