摘要
提出了一种基于太赫兹时域光谱(THz-TDS)技术和聚类分析方法的纺织材料鉴别和分类方法,并以几种典型的棉材料作为实验介质证明此方法的可行性。利用THz-TDS系统测得了介质在THz波段的时域光谱信号,并从中提取出其吸收光谱。应用主成分分析法提取纺织材料吸收光谱的特征,然后应用马氏距离分类法对这些材料进行分类,实验结果表明这五种材料可以被准确区分。研究结果表明以纺织纤维的THz吸收光谱作为数据特征,采用主成分分析法与马氏距离判别法相结合的方法鉴别成分相似的纺织纤维是可行的,该方法有望为成分相近的纺织材料鉴别提供一种有效的分析方法。
A method to discriminate textiles was proposed based on terahertz time-domain spectroscopy（THz-TDS） and clustering analysis, and some typical cotton textiles were investigated to prove its feasibility. Their time domain waveforms were measured using THz-TDS system and then their absorption spectra were obtained. Principal component analysis（PCA） was applied to extract features of the data, and then Mahalanobis distance discriminant method was employed to classify these materials. The results show that this method can classify these five textiles accurately. It indicates that the method to classify textiles is feasible which combines PCA and Mahalanobis distance discriminant method based on their THz absorption spectra. The proposed method has a potential for identifying textiles of similar composition.
出处
《光谱学与光谱分析》
SCIE
EI
CAS
CSCD
北大核心
2010年第7期1748-1751,共4页
Spectroscopy and Spectral Analysis
基金
国家自然科学基金项目(60774054)
国家教育部博士点基金项目(20070335123)
江苏省博士后基金项目(0902004C)资助
关键词
太赫兹波
纺织材料
主成分分析
马氏距离判别法
Terahertz wave
Textile
Principal component analysis
Mahalanobis distance discriminant method
