• Spectroscopy and Spectral Analysis
  • Vol. 42, Issue 7, 2255 (2022)
Fu-jie ZHANG*, Lei SHI, Li-xia LI*;, Hao-ran ZHAO, and Yin-long ZHU
Author Affiliations
  • Faculty of Modern Agricultural Engineering, Kunming University of Science and Technology, Kunming 650500, China
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    DOI: 10.3964/j.issn.1000-0593(2022)07-2255-07 Cite this Article
    Fu-jie ZHANG, Lei SHI, Li-xia LI, Hao-ran ZHAO, Yin-long ZHU. Study on Nondestructive Identification of Panax Notoginseng Powder Quality Grade Based on Hyperspectral Imaging Technology[J]. Spectroscopy and Spectral Analysis, 2022, 42(7): 2255 Copy Citation Text show less
    Four quality grades of panax notoginseng powder
    Fig. 1. Four quality grades of panax notoginseng powder
    Diagram of hyperspectral imaging system
    Fig. 2. Diagram of hyperspectral imaging system
    (a) Original spectra; (b) Spectra after SG pretreatment; (c) Spectra after MSC pretreatment; (d) Spectra after SNV pretreatment
    Fig. 3. (a) Original spectra; (b) Spectra after SG pretreatment; (c) Spectra after MSC pretreatment; (d) Spectra after SNV pretreatment
    Process of IRIV selection
    Fig. 4. Process of IRIV selection
    Wavelength selected by IRIV
    Fig. 5. Wavelength selected by IRIV
    Wavelength selected by VCPA
    Fig. 6. Wavelength selected by VCPA
    Wavelength selected by VCPA-IRIV
    Fig. 7. Wavelength selected by VCPA-IRIV
    预处理方式训练集准确率/%测试集准确率/%
    SG74.609 489.062 5
    MSC90.625 095.312 5
    SNV90.625 096.875 0
    Table 1. SVM modeling results of different pretreatment methods
    特征选择方式波长数训练集准确率/%测试集准确率/%
    47890.625 096.875 0
    IRIV3084.375 092.187 5
    VCPA1186.328 192.968 8
    VCPA-IRIV1890.234 496.875 0
    Table 2. SVM modeling results based on full spectral data and feature wavelengths
    模型cg训练集
    分类准确
    率/%
    测试集
    分类准确
    率/%
    VCPA-IRIV-GSA-SVM15.868 01.048 0100100
    VCPA-IRIV-GS-SVM90.509 70.044 198.828 199.218 8
    Table 3. GSA-SVM and GS-SVM modeling results based on VCPA-IRIV
    Fu-jie ZHANG, Lei SHI, Li-xia LI, Hao-ran ZHAO, Yin-long ZHU. Study on Nondestructive Identification of Panax Notoginseng Powder Quality Grade Based on Hyperspectral Imaging Technology[J]. Spectroscopy and Spectral Analysis, 2022, 42(7): 2255
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