• Journal of Applied Optics
  • Vol. 43, Issue 3, 466 (2022)
Xuecheng ZHANG, Shangzhong JIN, Tianqi ZHAO*, Fei ZHANG, and Yi CHEN
Author Affiliations
  • College of Optical and Electronic Technology, China Jiliang University, Hangzhou 310018, China
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    DOI: 10.5768/JAO202243.0303001 Cite this Article
    Xuecheng ZHANG, Shangzhong JIN, Tianqi ZHAO, Fei ZHANG, Yi CHEN. Application of aerosol fluorescence spectrum recognition based on deep learning[J]. Journal of Applied Optics, 2022, 43(3): 466 Copy Citation Text show less
    Schematic diagram of fluorescence spectrometer system structure
    Fig. 1. Schematic diagram of fluorescence spectrometer system structure
    Fluorescence spectra of staphylococcus aureus, pollen, NADH, vitamin B2, cosmetics and cigarettes
    Fig. 2. Fluorescence spectra of staphylococcus aureus, pollen, NADH, vitamin B2, cosmetics and cigarettes
    Two kinds of spectral input forms
    Fig. 3. Two kinds of spectral input forms
    PCANet structure input by one-dimensional vector form
    Fig. 4. PCANet structure input by one-dimensional vector form
    CNN structure input by one-dimensional vector form
    Fig. 5. CNN structure input by one-dimensional vector form
    FCN structure input by two-dimensional matrix form
    Fig. 6. FCN structure input by two-dimensional matrix form
    Learning curve of CNNb
    Fig. 7. Learning curve of CNNb
    Learning curve of FCNb
    Fig. 8. Learning curve of FCNb
    方法算法网络输入形式ACCcACCvACCp
    深度学习PCANeta向量99.9484.3184.13
    CNNa99.5694.9394.58
    FCNa97.6594.0394.13
    PCANetb矩阵99.6396.1196.61
    CNNb99.9198.1798.05
    FCNb97.6494.9795.01
    机器学习RF向量94.6887.8882.01
    KNN94.9391.0690.75
    SVM94.9692.9792.76
    Table 1. Accuracy of fluorescence spectrum classification by different methods %
    方法算法网络输入形式ACCcACCvACCp
    深度学习PCANet a向量95.2495.6796.07
    CNNa95.9996.0394.07
    FCNa96.7396.7496.84
    PCANetb矩阵97.8997.9997.35
    CNNb97.6596.9997.03
    FCNb98.9798.1397.93
    机器学习LR向量94.9993.8693.98
    RF93.8994.8794.87
    PLSR95.9494.8194.91
    Table 2. Accuracy of concentration prediction of biological components in fluorescence spectrum by different methods %
    Xuecheng ZHANG, Shangzhong JIN, Tianqi ZHAO, Fei ZHANG, Yi CHEN. Application of aerosol fluorescence spectrum recognition based on deep learning[J]. Journal of Applied Optics, 2022, 43(3): 466
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