NAOC Open IR
基于支撑矢量机的天体光谱自动分类方法
覃冬梅1; 胡占义1; 赵永恒2
2004
Source Publication光谱学与光谱分析
ISSN1000-0593
Volume24Issue:4Pages:507
AbstractThe main objective of an automatic recognition system of celestial objects via their spectra is to classify celestial spectra and estimate physical parameters automatically. This paper proposes a new automatic classification method based on support vector machines to separate non-active objects from active objects via their spectra. With low SNR and unknown red-shift value, it is difficult to extract true spectral lines, and as a result, active objects can not be determined by finding strong spectral lines and the spectral classification between non-active and active objects becomes difficult. The proposed method in this paper combines the principal component analysis with support vector machines, and can automatically recognize the spectra of active objects with unknown red-shift values from non-active objects. It finds its applicability in the automatic processing of voluminous observed data from large sky surveys in astronomy.
Language英语
Document Type期刊论文
Identifierhttp://ir.bao.ac.cn/handle/114a11/39340
Collection中国科学院国家天文台
Affiliation1.中国科学院自动化研究所
2.中国科学院国家天文台
Recommended Citation
GB/T 7714
覃冬梅,胡占义,赵永恒. 基于支撑矢量机的天体光谱自动分类方法[J]. 光谱学与光谱分析,2004,24(4):507.
APA 覃冬梅,胡占义,&赵永恒.(2004).基于支撑矢量机的天体光谱自动分类方法.光谱学与光谱分析,24(4),507.
MLA 覃冬梅,et al."基于支撑矢量机的天体光谱自动分类方法".光谱学与光谱分析 24.4(2004):507.
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