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A Noise Reduction Method for Solar Radio Spectrum Based on Improved Guided Filter and Morphological Cascade

  • Gaifang Luo
  • Guowu YuanEmail author
  • Guoliang Li
  • Hao Wu
  • Liang Dong
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1075)

Abstract

In solar radio observation, it is inevitable to be disturbed by noise, and the solar radio spectrum is affected. The solar radio spectrum with good quality can provide useful information in analyzing solar activities and improve the accuracy of automatic detection and classification of solar radio bursts. A noise reduction method for solar radio spectrum based on improved guided filter and morphological cascade is proposed in this paper. Firstly, the background noise of solar radio spectrum is subtracted, and the cross-fringe interference caused by channel effect is reduced. Secondly, the improved guided filtering is used to keep the edge of the solar radio burst as far as possible when filtering the burst region of the spectrum. Finally, more noise from other external factors is removed by morphological operation. The experimental results show that the proposed method is effective in removing noise from solar radio spectrum.

Keywords

Solar radio spectrum Noise reduction Guided filtering Morphological filtering 

Notes

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), Open Project of the Key Laboratory of Space Weather of China Meteorological Administration, Chinese Academy of Sciences “Western Light” Talent Development Program, and the Action Plan of Yunnan University Serving for Yunnan.

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Gaifang Luo
    • 1
  • Guowu Yuan
    • 1
    • 2
    Email author
  • Guoliang Li
    • 1
  • Hao Wu
    • 1
  • Liang Dong
    • 3
  1. 1.School of Information Science and EngineeringYunnan UniversityKunmingChina
  2. 2.CAS Key Laboratory of Solar ActivityNational Astronomical Observatories of Chinese Academy of SciencesBeijingChina
  3. 3.Yunnan ObservatoriesChinese Academy of SciencesKunmingChina

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