Spectroscopy and Spectral Analysis, Volume. 41, Issue 2, 441(2021)

Application of NIR Spectroscopy in Explosive Powder Surface Contamination Remote Detection

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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    Figures & Tables(10)
    Explosive powder surface contamination remote detection by NIR reflection
    Spectral feature aliasing of NQ and chemical fiber cloth base
    Diagram of explosive powder surface contamination remote detection based on NIR reflectance spectroscopy
    Reflectance spectra of samples
    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
    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
    Classification result of multi-explosive powder surface contamination(a): AP; (b): CL-20; (c): NQ; (d): RDX; (e): TATB; (f): Fireworkers and firecrackers
    • Table 1. Samples prediction RMSE

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      Table 1. Samples prediction RMSE

      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
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    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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    Paper Information

    Category: Research Articles

    Received: Dec. 17, 2019

    Accepted: Mar. 25, 2020

    Published Online: Apr. 8, 2021

    The Author Email: LI Da-cheng (dcli@aiofm.ac.cn)

    DOI:10.3964/j.issn.1000-0593(2021)02-0441-07

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