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
Link To Document