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A PCA based efficient stellar spectra classification method
Qin, DM; Hu, ZY; Zhao, YH
发表期刊SPECTROSCOPY AND SPECTRAL ANALYSIS
2003-02-01
卷号23期号:1页码:182-186
文章类型Article
摘要Stellar spectra classification is an indispensable part of any workable automated recognition system of celestial bodies. This paper introduces an efficient method of automated classification of stellar spectra based on the principal component analysis (PCA). The method consists of two parts. In the first part, the eigen-matrix is built by a standard PCA technique where only the first two eigen-vectors are selected due to their predominance. More specifically, the first two eigenvalues are found to always represent more than 95% of the total sum of all the eigenvalues, and much larger than others in our all experiments. The principal component space of stellar (V-1, V-2) then is constructed from the first two eigenvectors. In the second part, namely classification part, an unknown spectrum X is first mapped to a 2D space with the two coordinates defined respectivey as ( V-1(T) X, V-2(T) X), then the nearest neighbor approach in this 2D space is employed to determine the spectral type as well as luminosity class of the input spectrum. The experimental results show that our new method can achieve comparable performance with that by the standard MK spectral types classification criterion, which is regarded as a benchmark in astronomy field. Thanks to its high efficiency, our new method appears promising especially for the processing of spectra in large quantities collected from large survey projects, such as LAMOST project in our country.
关键词Stellar Spectra Classification Principal Component Analysis (Pca) Eigen-matrix Nearest Neighbor Approach
WOS标题词Science & Technology ; Technology
收录类别SCI
语种英语
WOS研究方向Spectroscopy
WOS类目Spectroscopy
WOS记录号WOS:000181586700051
引用统计
被引频次:17[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/9883
专题09年以前成果
作者单位1.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100080, Peoples R China
2.Chinese Acad Sci, Natl Astron Observ, Beijing 100012, Peoples R China
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Qin, DM,Hu, ZY,Zhao, YH. A PCA based efficient stellar spectra classification method[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS,2003,23(1):182-186.
APA Qin, DM,Hu, ZY,&Zhao, YH.(2003).A PCA based efficient stellar spectra classification method.SPECTROSCOPY AND SPECTRAL ANALYSIS,23(1),182-186.
MLA Qin, DM,et al."A PCA based efficient stellar spectra classification method".SPECTROSCOPY AND SPECTRAL ANALYSIS 23.1(2003):182-186.
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