The Research of Visual Classification for LAMOST Low Quality Spectra
Authors
Lipeng Bi, Jingchang Pan, Cong Liu, Guozhou Ge
Corresponding Author
Lipeng Bi
Available Online May 2016.
- DOI
- 10.2991/itoec-16.2016.14How to use a DOI?
- Keywords
- LAMOST; Interactive platform; Template matching; Spectral classification
- Abstract
Massive sky survey data are produced by the LAMOST large-scale survey project. However, the low quality spectra still accounted for about half of total LAMOST observed data at present. For these low quality spectra, spectral classification can not only use of computer technology, but also be combined with artificial view. Therefore, this paper focused on interactive spectral classification design and implementation.
- Copyright
- © 2016, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Lipeng Bi AU - Jingchang Pan AU - Cong Liu AU - Guozhou Ge PY - 2016/05 DA - 2016/05 TI - The Research of Visual Classification for LAMOST Low Quality Spectra BT - Proceedings of the 2nd Information Technology and Mechatronics Engineering Conference (ITOEC 2016) PB - Atlantis Press SP - 71 EP - 74 SN - 2352-5401 UR - https://doi.org/10.2991/itoec-16.2016.14 DO - 10.2991/itoec-16.2016.14 ID - Bi2016/05 ER -