• DocumentCode
    3259635
  • Title

    Astronomical spectral lines auto-extraction based on framelet transform

  • Author

    Wang, Haihui ; Li, Shuang ; Luo, A-li

  • Author_Institution
    LMIB, Beihang Univ., Beijing, China
  • Volume
    3
  • fYear
    2010
  • fDate
    16-18 Oct. 2010
  • Firstpage
    1045
  • Lastpage
    1048
  • Abstract
    The important astrophysical information is hidden in spectral lines of astronomical spectra. This paper presents a method in detail extraction of spectral lines and splitting. The method consists of four main steps: First, fitting the continuum of the observed spectra by a combined method of framelet transform and spline fitting. After removing the continuum, the spectral signal is transformed by framelet with 4 (th) scale. Then, estimate the noise with high frequency coefficients; the noise with coefficients of the 4 (th) scale is eliminated by soft thresholding. At last, extract the spectral lines. Experimental results show that the algorithm can improve the fitting accuracy and extract spectral lines effectively.
  • Keywords
    astronomical image processing; feature extraction; astronomical spectral lines auto-extraction; astrophysical information; framelet transform; soft thresholding; spectral signal; spline fitting; Accuracy; Noise; Noise reduction; Spline; Wavelet analysis; Wavelet transforms; Astronomical spectra; Continuum fitting; Denoising; Framelet transform; Spectral line extraction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Signal Processing (CISP), 2010 3rd International Congress on
  • Conference_Location
    Yantai
  • Print_ISBN
    978-1-4244-6513-2
  • Type

    conf

  • DOI
    10.1109/CISP.2010.5646929
  • Filename
    5646929