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Proceedings Paper

Spectra classification based on kernel methods
Author(s): Xin Xu; Fuqing Duan; Ali Luo
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Paper Abstract

The star/galaxy/quasar (qso) classification according to spectra in astronomy is basic and important step in LAMOST project. It is proposed that two algorithms based on the KPCA and the GDA to classify star, galaxy and quasar in this paper. For the performance of classification, the experiments show that the KPCA is slightly better than the PCA; the GDA is also slightly better than the LDA, and it is significantly better than the KPCA.

Paper Details

Date Published: 4 November 2005
PDF: 6 pages
Proc. SPIE 6043, MIPPR 2005: SAR and Multispectral Image Processing, 60430X (4 November 2005); doi: 10.1117/12.654872
Show Author Affiliations
Xin Xu, National Pattern Recognition Lab. of Automation Institute, CAS (China)
Fuqing Duan, National Pattern Recognition Lab. of Automation Institute, CAS (China)
Ali Luo, National Astronomical Observatories, CAS (China)


Published in SPIE Proceedings Vol. 6043:
MIPPR 2005: SAR and Multispectral Image Processing
Liangpei Zhang; Jianqing Zhang; Mingsheng Liao, Editor(s)

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