• Spectroscopy and Spectral Analysis
  • Vol. 41, Issue 2, 441 (2021)
Da-cheng LI1、1、*, An-jing WANG1、1, Yang-yu LI1、1, Fang-xiao CUI1、1, Jun WU1、1, Zhi-cheng CAO1、1, Yun-yun WANG1、1, and Yan-li QIAO1、1
Author Affiliations
  • 1[in Chinese]
  • 11. Anhui Institute of Optics and Fine Mechanics, Key Laboratory of General Optical Calibration and Characterization Technology, Chinese Academy of Sciences, Hefei 230031, China
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    DOI: 10.3964/j.issn.1000-0593(2021)02-0441-07 Cite this Article
    Da-cheng LI, An-jing WANG, Yang-yu LI, Fang-xiao CUI, Jun WU, Zhi-cheng CAO, Yun-yun WANG, Yan-li QIAO. Application of NIR Spectroscopy in Explosive Powder Surface Contamination Remote Detection[J]. Spectroscopy and Spectral Analysis, 2021, 41(2): 441 Copy Citation Text show less
    Explosive powder surface contamination remote detection by NIR reflection
    Fig. 1. Explosive powder surface contamination remote detection by NIR reflection
    Spectral feature aliasing of NQ and chemical fiber cloth base
    Fig. 2. Spectral feature aliasing of NQ and chemical fiber cloth base
    Diagram of explosive powder surface contamination remote detection based on NIR reflectance spectroscopy
    Fig. 3. Diagram of explosive powder surface contamination remote detection based on NIR reflectance spectroscopy
    Reflectance spectra of samples
    Fig. 4. Reflectance spectra of samples
    Factor scores of model
    Fig. 5. Factor scores of model
    Correction score image and recognition result of CL-20(a): Correction score of CL-20; (b): Recognition result after threshold discrimination overlayed on Infrared image
    Fig. 6. Correction score image and recognition result of CL-20
    (a): Correction score of CL-20; (b): Recognition result after threshold discrimination overlayed on Infrared image
    Removing glares and shadows(a): Glares and shadows in the original image; (b): Scores image after glares and shadows removed
    Fig. 7. Removing glares and shadows
    (a): Glares and shadows in the original image; (b): Scores image after glares and shadows removed
    Comparison of spectra between RDX and the noise(a): Reflectivity spectra; (b): Pretreated spectra
    Fig. 8. Comparison of spectra between RDX and the noise
    (a): Reflectivity spectra; (b): Pretreated spectra
    Classification result of multi-explosive powder surface contamination(a): AP; (b): CL-20; (c): NQ; (d): RDX; (e): TATB; (f): Fireworkers and firecrackers
    Fig. 9. Classification result of multi-explosive powder surface contamination
    (a): AP; (b): CL-20; (c): NQ; (d): RDX; (e): TATB; (f): Fireworkers and firecrackers
    样本名称预测值与真实值
    均方根误差RMSE
    AP0.123
    RDX0.076
    CL-200.073
    NQ0.106
    TATB0.083
    Fireworkers and Firecrackers0.088
    Cotton and linen cloth0.072
    Chemical fiber cloth0.075
    Table 1. Samples prediction RMSE
    Da-cheng LI, An-jing WANG, Yang-yu LI, Fang-xiao CUI, Jun WU, Zhi-cheng CAO, Yun-yun WANG, Yan-li QIAO. Application of NIR Spectroscopy in Explosive Powder Surface Contamination Remote Detection[J]. Spectroscopy and Spectral Analysis, 2021, 41(2): 441
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