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Laser & Optoelectronics Progress, Volume. 58, Issue 6, 6000071(2021)

Review of Research on Hyperspectral Imaging Technology Applied to Bloodstain Detection Applications

Sun Wei1, Chen Ruili1、*, and Luo Jianxin2
Author Affiliations
  • 1College of Investigation, People''s Public Security University of China, Beijing 100038, China
  • 2Institute of Criminal Science and Technology, Public Security Bureau of Zhengzhou, Zhengzhou, Henan 450016, China
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    AbstractGet PDF(in Chinese)
    Figures&Tables (7)
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    References (42)
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    Figures & Tables(7)
    Diagrams of hyperspectral data cube

    Fig. 1. Diagrams of hyperspectral data cube

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    Coordinate system formed by hyperspectral data cube

    Fig. 2. Coordinate system formed by hyperspectral data cube

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    Process and application of bloodstain detection based on hyperspectral imaging

    Fig. 3. Process and application of bloodstain detection based on hyperspectral imaging

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    Band selection process

    Fig. 4. Band selection process

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    Feature extraction process

    Fig. 5. Feature extraction process

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    Hyperspectral imaging technique for detecting bloodstains at a murder scene

    Fig. 6. Hyperspectral imaging technique for detecting bloodstains at a murder scene

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    • Table 1. Hyperspectral data dimension reduction method

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      Table 1. Hyperspectral data dimension reduction method

      ProcessCategoryCommonly used method
      Feature selectionOptimal algorithmFeature selection algorithm using information entropy,feature selection based on band correlation,feature selection based on dispersion degree,selection of optimal band index based on fractal dimension, et al.
      Suboptimal algorithmSequential forward selection (SFS),sequential backward selection (SBS),genetic algorithm (GA),rough set (RS),ant colony optimization (ACO), et al.
      Feature extractionLinear feature extractionPrincipal component analysis (PCA),wavelet transform (WT),minimum noise fraction (MNF),locality preserving projection (LPP),projection pursuit (PP),canonical analysis (CA),maximum margin criterion (MMC),Fourier transform (FT),linear discriminant analysis (LDA), et al.
      Nonlinear feature extractionLocally linear embedding (LLE),multidimensional scaling (MDS),Laplacian Eigenmap (LE),multilinear principal component analysis (MPCA),linear discriminant analysis (LDA), et al.
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    Sun Wei, Chen Ruili, Luo Jianxin. Review of Research on Hyperspectral Imaging Technology Applied to Bloodstain Detection Applications[J]. Laser & Optoelectronics Progress, 2021, 58(6): 6000071

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    Paper Information

    Category: Reviews

    Received: Jul. 21, 2020

    Accepted: --

    Published Online: Mar. 23, 2021

    The Author Email: Ruili Chen (568806842@qq.com)

    DOI:10.3788/LOP202158.0600007

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology