摘要
M型星对研究恒星的演化具有重要价值.在我国正在实施的大型巡天项目(LAMOST项目)中,急需M型星的自动识别系统.本文给出了一种自动识别M型星的新方法,该方法由以下主要步骤组成:①选取一定波长范围的光谱进行5层小波变换,从第5层小波系数中提取出小波特征;②利用小波特征检测M型星特征频率和吸收带位置;③根据特征频率和吸收带位置的检测结果进行M型星识别.大量真实光谱数据实验表明,本文方法十分有效,识别率高达97.56%.
M-type stars play a significant role in the study of star evolution. The LAMOST project, the largest sky survey project being implemented in China,urgently needs a system for auto-recognizing M-type stars.This paper presents a novel method that can automatically recognize M-type stars. This method consists of three main steps： First, after a wavelet transform with 5 scales on the spectra in a selected wavelength region, the wavelet features are extracted from the Iransformed coefficients on the 5th scale. Then, the characteristic frequency of M-type stars and the locations of absorption bands are obtained accurately through the wavelet features. Finally,based on the results of the former step,M-type stars in all kinds of celestial bodies can be recognized.The extensive experiments with real observed spectra show that the proposed method is effective and the correct rate of this method is as high as 97.56%.
出处
《电子学报》
EI
CAS
CSCD
北大核心
2007年第1期157-160,共4页
Acta Electronica Sinica
基金
国家863高技术研究发展计划(No.2003AA133060)
LAMOST计划
关键词
天体光谱
吸收带检测
特征频率
小波特征
小波变换
astronomical spectra
detection of absorption bands
characteristic frequency
wavdet feature
wavelet transform
