| 基于光谱特征的恒星自动识别方法 |
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| 引用本文： | 刘中田,邱宽民.基于光谱特征的恒星自动识别方法[J].光谱学与光谱分析,2010,30(1):274-277. |
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| 作者姓名： | 刘中田 邱宽民 |
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| 作者单位： | 北京交通大学电子信息工程学院，北京 100044 |
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| 基金项目： | 国家高技术研究发展计划(“863”)项目(2003AA133060);;北京交通大学科技基金项目(2006RC028,2007XM004)资助 |
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| 摘 要： | 我国正在实施的大型巡天项目(LAMOST项目)，急需恒星光谱自动识别与分类系统并给出了一种基于光谱特征的恒星自动识别方法。该方法由以下主要步骤组成： (1)利用谱线小波特征进行恒星谱线整体估计和恒星Balmer线的检测;(2)利用吸收带小波特征进行吸收带位置和M型星特征频率检测;(3)根据以上检测结果进行发射线星、M型星和早型恒星识别。通过对(sloan digital sky survey, SDSS)(data release four, DR4)中的大量真实光谱数据实验表明，方法具有对噪声鲁棒等特点，发射线星识别率达到97.5%，M型星识别率达到98.1%，早型恒星识别率达到96.8%，类星体和星系的误识别率低于2%。该方法可对相对定标的巡天光谱进行自动识别，符合LAMOST数据的要求。
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| 关 键 词： | 恒星光谱识别 谱线特征匹配 发射线星 M型星 小波变换 |
| 收稿时间： | 2009-01-29 |
A Method for Auto-Recognizing the Stars Based on Spectral Feature |
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| LIU Zhong-tian,QIU Kuan-min.A Method for Auto-Recognizing the Stars Based on Spectral Feature[J].Spectroscopy and Spectral Analysis,2010,30(1):274-277. |
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| Authors: | LIU Zhong-tian QIU Kuan-min |
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| Institution: | School of Electronics and Information Engineering, Beijing Jiaotong University, Beijing 100044, China |
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| Abstract: | The LAMOST project,the world's largest sky survey project being implemented in China,urgently needs an automatic stars recognition and classification system.This paper presents a method for auto-recognizing the stars based on spectral feature.This method consists of three main steps:First,the integral information of spectral lines is calculated and the stellar Balmer lines are detected by using the wavelet features of spectral lines.Then,the characteristic frequency of M-type stars and the locations of abso... |
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| Keywords: | Recognition of stellar spectra Feature matching of spectral lines Emission-line stars M-type stars Wavelet transform |
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