Spectroscopy and Spectral Analysis, Volume. 41, Issue 12, 3665(2021)

A Method of Terahertz Spectrum Material Identification Based on Wavelet Coefficient Graph

Yan-ling CHEN*, Liang-lun CHENG*;, Heng WU*;, Li-min XU, Wei-jian HE, and Feng LI
Author Affiliations
  • School of Computer, Guangdong University of Technology, Guangzhou 510006, China
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    Figures & Tables(6)
    TAS7400 terahertz time domain spectrometer
    Convolutional neural network diagram
    Terahertz spectral curves and wavelet transform graph
    • Table 1. Summary of experimental sample

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      Table 1. Summary of experimental sample

      类别测试样品
      含吸收峰乳糖、 葡萄糖、 果糖、 蔗糖、 麦芽糖、 山梨酸钾、 苯甲酸、 苯甲酸钠、 叔丁基氢醌、 滑石粉
      无明显吸收峰红磷、 淀粉、 乙基麦芽酚、 甲基环戊烯醇酮、 溴化钾、 氯化钾、 氯化钙、 硫酸钾、 硫酸钠、 聚乙烯
    • Table 2. Summary of pure substances recognition results

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      Table 2. Summary of pure substances recognition results

      第一组第二组第三组
      CNNa100%98.13%97.19%
      b100%100%100%
      SVMa32.22%16.67%20.27%
      b76.39%58.33%62.50%
      MLPa94.44%90.27%81.94%
      b97.22%94.44%86.11%
    • Table 3. The recognition rate summary of the two methods

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      Table 3. The recognition rate summary of the two methods

      小波寻峰识别本文
      识别率平均相似度识别率平均相似度
      麦芽糖90%61.17%100%97.14%
      果糖35%38.51%92.86%89.51%
      乳糖100%95.07%92.86%97.33%
      葡萄糖100%71.69%100%97.60%
      蔗糖25%38.88%100%91.69%
      淀粉--100%89.44%
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    Yan-ling CHEN, Liang-lun CHENG, Heng WU, Li-min XU, Wei-jian HE, Feng LI. A Method of Terahertz Spectrum Material Identification Based on Wavelet Coefficient Graph[J]. Spectroscopy and Spectral Analysis, 2021, 41(12): 3665

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    Paper Information

    Category: Research Articles

    Received: Nov. 16, 2020

    Accepted: --

    Published Online: Dec. 17, 2021

    The Author Email: Yan-ling CHEN (jkjkre@qq.com)

    DOI:10.3964/j.issn.1000-0593(2021)12-3665-06

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