| 一种新的光谱特征提取方法 |
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| 作者姓名： | Li XR Feng CM Wang YJ Lu Y |
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| 作者单位： | 1. 华南师范大学数学科学学院,广东广州,510631
2. 聊城大学东昌学院数学系,山东聊城,252000 |
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| 基金项目： | 国家自然科学基金项目(61075033)资助 |
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| 摘 要： | 研究了天体光谱的特征提取问题,这是光谱自动处理中的一个关键环节.通过特征提取,不仅能够约简数据、减少冗余,而且亦能抑制噪声干扰,对识别系统的精度和效率均有重要影响.提出了一种基于空间转换和分解的特征分析模型(STP),基于此,可实现对常用光谱特征提取方法的分析,例如,无监督的主成分分析(PCA),小波变换(Wavele...
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| 关 键 词： | 天体光谱分类 光谱特征提取 类星体:正常星系 |
A novel spectrum feature extraction method |
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| Li XR,Feng CM,Wang YJ,Lu Y.A novel spectrum feature extraction method[J].Spectroscopy and Spectral Analysis,2011,31(10):2856-2860. |
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| Authors: | Li Xiang-Ru Feng Chun-Ming Wang Yong-Jun Lu Yu |
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| Institution: | LI Xiang-ru1,FENG Chun-ming2,WANG Yong-jun1,LU Yu11.School of Mathematical Sciences,South China Normal University,Guangzhou 510631,China2.Dongchang College,Liaocheng University,Liaocheng 252000,China |
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| Abstract: | The present focuses on the celestial spectra feature extraction problem,which is a key procedure in automatic spectra classification.By extracting features,the authors can reduce redundancy,alleviate noise influence,and improve accuracy and efficiency in spectra classification.The authors introduced a novel feature analysis framework STP(space transformation and partition),which focuses on four essential components in feature extraction: decompose and reorganize spectrum components,reorganize,alleviate nois... |
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| Keywords: | Spectrum classification Feature extraction Quasar Galaxy |
| 本文献已被 CNKI 万方数据 PubMed 等数据库收录！ |
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