3 November 2005 Spectra classification based on kernel methods
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Proceedings Volume 6043, MIPPR 2005: SAR and Multispectral Image Processing; 60430X (2005) https://doi.org/10.1117/12.654872
Event: MIPPR 2005 SAR and Multispectral Image Processing, 2005, Wuhan, China
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.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xin Xu, Xin Xu, Fuqing Duan, Fuqing Duan, Ali Luo, Ali Luo, } "Spectra classification based on kernel methods", Proc. SPIE 6043, MIPPR 2005: SAR and Multispectral Image Processing, 60430X (3 November 2005); doi: 10.1117/12.654872; https://doi.org/10.1117/12.654872


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