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A Method to Automatic Detecting Coronal Mass Ejections in Coronagraph Based on Frequency Spectrum Analysis

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Proceedings of the 2012 International Conference of Modern Computer Science and Applications

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 191))

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Abstract

We present a new method of automatic detection of Coroanal Mass Ejections(CMEs) in Coronagraph. Different from brightness comparison that was widely used in currently methods of detecting CMEs, we detect CMEs by analyzing the sudden change of frequency spectrum in coronagraph. And this method shoud be more effective while detecting the faint CME whose brightness is so weak that maybe ignored by brightness comparison.

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Author information

Authors and Affiliations

  1. Center for Space Science and Applied Research, Chinese Academy of Sciences, Beijing, 5111POB, China

    Zeng Zhao-xian, Wei Ya-li & Liu Jin-sheng

  2. Graduate University of Chinese Academy of Sciences, Beijing, 5111POB, China

    Zeng Zhao-xian

Authors
  1. Zeng Zhao-xian
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  2. Wei Ya-li
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  3. Liu Jin-sheng
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Editor information

Editors and Affiliations

  1. Engineering Research Center, Information Technology & Industrial, No 10 Ruanjianyuanzhong Road, Wuhan, China, People's Republic

    Zhenyu Du

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Zhao-xian, Z., Ya-li, W., Jin-sheng, L. (2013). A Method to Automatic Detecting Coronal Mass Ejections in Coronagraph Based on Frequency Spectrum Analysis. In: Du, Z. (eds) Proceedings of the 2012 International Conference of Modern Computer Science and Applications. Advances in Intelligent Systems and Computing, vol 191. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33030-8_36

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  • DOI: https://doi.org/10.1007/978-3-642-33030-8_36

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33029-2

  • Online ISBN: 978-3-642-33030-8

  • eBook Packages: EngineeringEngineering (R0)

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