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Solar Radio Burst Automatic Detection Method for Decimetric and Metric Data of YNAO

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Data Science (ICPCSEE 2019)

Abstract

With the development of solar radio spectrometer, it is difficult to process a large number of observed data quickly by manual detection method. Yunnan astronomical observatories (YNAO) have two solar radio spectrometers with high time and frequency resolution. An automatic detection method of solar radio burst for decimetric and metric data of YNAO is proposed in this paper. The duration of solar radio burst was counted and analyzed. Channel normalization was used to denoise the original solar radio image. Through experimental comparison, Otsu method was selected as a binary method of solar radio spectrum, and open and close operations were used to smooth the binary image. Experiments show that the proposed method for automatic detection of solar radio bursts is effective.

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Acknowledgments

This work is supported by the Natural Science Foundation of China (Grant No. 11663007, 61802337, U1831210), Chinese Academy of Sciences “Western Light” Talent Development Program, the Youth Top Talents Project of Yunnan Provincial “Ten Thousands Plan”, and the Action Plan of Yunnan University Serving for Yunnan.

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Correspondence to Guowu Yuan .

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Yuan, G. et al. (2019). Solar Radio Burst Automatic Detection Method for Decimetric and Metric Data of YNAO. In: Cheng, X., Jing, W., Song, X., Lu, Z. (eds) Data Science. ICPCSEE 2019. Communications in Computer and Information Science, vol 1058. Springer, Singapore. https://doi.org/10.1007/978-981-15-0118-0_22

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  • DOI: https://doi.org/10.1007/978-981-15-0118-0_22

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-0117-3

  • Online ISBN: 978-981-15-0118-0

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