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首页> 外文会议>Photonics and optoelectronics meetings;Conference on terahertz science and technology;POEM; 20081124-27;20081124-27;20081124-27; Wuhan(CN);Wuhan(CN);Wuhan(CN) >Classification of Tea Based on Terahertz Time Domain Spectroscopy
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Classification of Tea Based on Terahertz Time Domain Spectroscopy

机译：基于太赫兹时域光谱学的茶叶分类

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摘要

Terahertz time-domain spectroscopy (THz-TDS) is a newly developed technique in the last decade. A new method to classify tea is proposed based on THz-TDS and pattern recognition method. Four kinds of tea are investigated to study its feasibility. Their absorption spectra are measured using the THz-TDS system. Then a pattern recognition method, support vector machine (SVM), is employed to differentiate the investigated tea based on their terahertz data. The absorption spectra between 0.2 and 2.0 THz of the investigated tea samples are selected as the feature to classify them. The correct rate of recognition for the SVM classifier is 96.88%. The results give evidence that different tea varieties can be distinguished based on their terahertz spectra. In this respect, the spectral method provides enough information to differentiate different kinds of tea.
机译：太赫兹时域光谱（THz-TDS）是近十年来的一项新开发技术。提出了一种基于THz-TDS和模式识别方法的茶分类新方法。研究了四种茶以研究其可行性。使用THz-TDS系统测量其吸收光谱。然后，采用一种模式识别方法，即支持向量机（SVM），基于太赫兹数据对所研究的茶进行区分。选择被研究茶样品在0.2和2.0 THz之间的吸收光谱作为对它们进行分类的特征。 SVM分类器的正确识别率为96.88％。结果表明，可以根据其太赫兹光谱区分不同的茶品种。在这方面，光谱法提供了足够的信息来区分不同种类的茶。

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