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
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;
Conference_Titel :
Image and Signal Processing (CISP), 2010 3rd International Congress on
Conference_Location :
Yantai
Print_ISBN :
978-1-4244-6513-2
DOI :
10.1109/CISP.2010.5646929