• Laser & Optoelectronics Progress
  • Vol. 60, Issue 1, 0101001 (2023)
Chenhao Zhi1, Yamin Gao1, Yuyan Xiang1, Zhi Zhang2, Binpeng Shang2, Jiewei Guo2, Maoqiang Xie1、*, Mingming Liu1、**, Nan Zhang2, Lu Sun2, and Weiwei Liu2
Author Affiliations
  • 1College of Software, Nankai University, Tianjin 300350, China
  • 2Institute of Modern Optics, Nankai University, Tianjin 300350, China
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    DOI: 10.3788/LOP212962 Cite this Article Set citation alerts
    Chenhao Zhi, Yamin Gao, Yuyan Xiang, Zhi Zhang, Binpeng Shang, Jiewei Guo, Maoqiang Xie, Mingming Liu, Nan Zhang, Lu Sun, Weiwei Liu. Experimental Study of Spectral Processing Technology for Improving Detection Ability of Low-Concentration NaCl Aerosol by Filament-Induced Fluorescence Spectrum[J]. Laser & Optoelectronics Progress, 2023, 60(1): 0101001 Copy Citation Text show less
    Schematic diagram of filament-induced fluorescence spectrum (FIFS) collection spectrum device
    Fig. 1. Schematic diagram of filament-induced fluorescence spectrum (FIFS) collection spectrum device
    Photo of aerosol generator
    Fig. 2. Photo of aerosol generator
    Photo of cloud chamber
    Fig. 3. Photo of cloud chamber
    FIFS of NaCl aerosol
    Fig. 4. FIFS of NaCl aerosol
    Spectra of single preprocessing methods. (a) SG; (b) FFT; (c) SNV; (d) MSC; (e) MF; (f) FD; (g) SD; (h) DWT
    Fig. 5. Spectra of single preprocessing methods. (a) SG; (b) FFT; (c) SNV; (d) MSC; (e) MF; (f) FD; (g) SD; (h) DWT
    Spectra of 150×10-6 NaCl before processing of SOP
    Fig. 6. Spectra of 150×10-6 NaCl before processing of SOP
    Spectra of 150×10-6 NaCl after processing of SOP
    Fig. 7. Spectra of 150×10-6 NaCl after processing of SOP
    Fitting scatter plots of PLSR prediction value for different preprocessing methods. (a) Original, FFT, SG; (b) MSC, SD, DWT; (c) FFT-SOP, SG-FD, SG-FFT-SD; (d) MF-SG-FFT, MF-SG-FFT-DWT, MF-SG-FFT-SOP; (e) MSC-MF-SG-FFT, MSC-FFT-MF-SG, MSC-MF-SG-FFT-DWT; (f) MSC-MF-SG-FFT-SOP, SNV-SG-FFT-FD, SNV-MF-SG-FFT-DWT
    Fig. 8. Fitting scatter plots of PLSR prediction value for different preprocessing methods. (a) Original, FFT, SG; (b) MSC, SD, DWT; (c) FFT-SOP, SG-FD, SG-FFT-SD; (d) MF-SG-FFT, MF-SG-FFT-DWT, MF-SG-FFT-SOP; (e) MSC-MF-SG-FFT, MSC-FFT-MF-SG, MSC-MF-SG-FFT-DWT; (f) MSC-MF-SG-FFT-SOP, SNV-SG-FFT-FD, SNV-MF-SG-FFT-DWT
    No.Preprocessing method
    1Original
    2SG
    3FFT
    4MSC
    5SD
    6DWT
    7FFT-SOP
    8SG-FD
    9SG-FFT-SD
    10MF-SG-FFT
    11MF-SG-FFT-DWT
    12MF-SG-FFT-SOP
    13MSC-MF-SG-FFT
    14MSC-FFT-MF-SG
    15MSC-MF-SG-FFT-DWT
    16MSC-MF-SG-FFT-SOP
    17SNV-SG-FFT-FD
    18SNV-MF-SG-FFT-DWT
    Table 1. Combinations of spectral preprocessing methods
    No.Peak position /nmSOP
    15900.8
    24990.7
    35420.7
    45490.7
    55180.6
    64800.5
    74920.5
    85110.5
    95510.5
    105690.5
    114960.3
    125940.3
    136160.3
    146200.3
    156280.3
    Table 2. Peak positions and significance of peak (SOP)
    Preprocessing methodSNRRMSE
    Original25.3690.163
    SG37.0020.127
    FFT38.6980.121
    MSC26.6320.166
    SD-11.8790.631
    DWT2.4320.139
    FFT-SOP42.4270.031
    SG-FD-7.4100.408
    SG-FFT-SD-6.6770.453
    MF-SG-FFT38.9200.111
    MF-SG-FFT-DWT6.9460.169
    MF-SG-FFT-SOP41.8730.030
    MSC-MF-SG-FFT44.1800.110
    MSC-FFT-MF-SG44.3510.106
    MSC-MF-SG-FFT-DWT6.8890.172
    MSC-MF-SG-FFT-SOP46.6300.030
    SNV-SG-FFT-FD-6.6910.451
    SNV-MF-SG-FFT-DWT5.6730.167
    Table 3. Combinations of preprocessing methods
    Pretreatment methodR2RPDRMSEP
    Original0.5401.4740.259
    SG0.5241.4500.263
    FFT0.4921.4030.272
    MSC0.8963.1050.123
    SD0.8542.6220.145
    DWT0.9474.3530.088
    FFT-SOP0.8792.8730.133
    SG-FD0.8432.5200.151
    SG-FFT-SD0.7942.2050.173
    MF-SG-FFT0.4661.3690.279
    MF-SG-FFT-DWT0.9233.6020.106
    MF-SG-FFT-SOP0.9363.9630.096
    MSC-MF-SG-FFT0.8472.5560.149
    MSC-FFT-MF-SG0.8472.5580.149
    MSC-MF-SG-FFT-DWT0.9013.1790.120
    MSC-MF-SG-FFT-SOP0.9554.7120.081
    SNV-SG-FFT-FD0.6491.6890.226
    SNV-MF-SG-FFT-DWT0.8212.3630.161
    Table 4. Prediction results of PLSR models under different preprocessing methods
    Chenhao Zhi, Yamin Gao, Yuyan Xiang, Zhi Zhang, Binpeng Shang, Jiewei Guo, Maoqiang Xie, Mingming Liu, Nan Zhang, Lu Sun, Weiwei Liu. Experimental Study of Spectral Processing Technology for Improving Detection Ability of Low-Concentration NaCl Aerosol by Filament-Induced Fluorescence Spectrum[J]. Laser & Optoelectronics Progress, 2023, 60(1): 0101001
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