| 基于小波特征的M型星自动识别方法 |
| |
| 引用本文： | 刘中田,李乡儒,吴福朝,赵永恒.基于小波特征的M型星自动识别方法[J].电子学报,2007,35(1):157-160. |
| |
| 作者姓名： | 刘中田 李乡儒 吴福朝 赵永恒 |
| |
| 作者单位： | 1. 北京交通大学电子信息工程学院,北京 100044;2. 中国科学院自动化研究所模式识别国家重点实验室,北京 100080;3. 中国科学院国家天文台,北京 100012 |
| |
| 基金项目： | 国家高技术研究发展计划(863计划)，LAMOST计划 |
| |
| 摘 要： | M型星对研究恒星的演化具有重要价值.在我国正在实施的大型巡天项目(LAMOST项目)中,急需M型星的自动识别系统.本文给出了一种自动识别M型星的新方法,该方法由以下主要步骤组成:①选取一定波长范围的光谱进行5层小波变换,从第5层小波系数中提取出小波特征;②利用小波特征检测M型星特征频率和吸收带位置;③根据特征频率和吸收带位置的检测结果进行M型星识别.大量真实光谱数据实验表明,本文方法十分有效,识别率高达97.56%.
|
| 关 键 词： | 天体光谱 吸收带检测 特征频率 小波特征 小波变换 |
| 文章编号： | 0372-2112（2007）01-0157-04 |
| 收稿时间： | 2006-01-25 |
| 修稿时间： | 2006-01-252006-07-28 |
A Method for Auto-Recognizing the M-type Stars Based on Wavelet Feature |
| |
| LIU Zhong-tian,LI Xiang-ru,WU Fu-chao,ZHAO Yong-heng.A Method for Auto-Recognizing the M-type Stars Based on Wavelet Feature[J].Acta Electronica Sinica,2007,35(1):157-160. |
| |
| Authors: | LIU Zhong-tian LI Xiang-ru WU Fu-chao ZHAO Yong-heng |
| |
| Affiliation: | 1. School of Electronics and Information Engineering,Beijing Jiaotong Univeristy,Beijing 100044,China;2. National Laboratory of Pattern Recognition,Institute of Automation,Chinese Academy of Sciences,Beijing 100080,China;3. National Astronomical Observatory,Chinese Academy of Sciences,Beijing 100012,China |
| |
| Abstract: | M-type stars play a significant role in the study of star evolution.The LAMOST project,the largest sky survey project being implemented in China,urgently needs a system for auto-recognizing M-type stars.This paper presents a novel method that can automatically recognize M-type stars.This method consists of three main steps:First,after a wavelet transform with 5 scales on the spectra in a selected wavelength region,the wavelet features are extracted from the transformed coefficients on the 5th scale.Then,the characteristic frequency of M-type stars and the locations of absorption bands are obtained accurately through the wavelet features.Finally,based on the results of the former step,M-type stars in all kinds of celestial bodies can be recognized.The extensive experiments with real observed spectra show that the proposed method is effective and the correct rate of this method is as high as 97.56%. |
| |
| Keywords: | astronomical spectra detection of absorption bands characteristic frequency wavdet feature wavelet transform |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
| 点击此处可从《电子学报》浏览原始摘要信息 |
|
点击此处可从《电子学报》下载全文 |
|
