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

Sun Wei; Chen Ruili; Luo Jianxin

doi:10.3788/LOP202158.0600007

Journals >Laser & Optoelectronics Progress >Volume 58 >Issue 6 >Page 6000071 > Article

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

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

Sun Wei¹, Chen Ruili^1、*, 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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DOI: 10.3788/LOP202158.0600007 Cite this Article Set citation alerts

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 Copy Citation Text

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Fig. 1. Diagrams of hyperspectral data cube

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Fig. 2. Coordinate system formed by hyperspectral data cube

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

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Fig. 4. Band selection process

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Fig. 5. Feature extraction process

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

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Process	Category	Commonly used method
Feature selection	Optimal algorithm	Feature 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.
Feature selection	Suboptimal algorithm	Sequential forward selection (SFS),sequential backward selection (SBS),genetic algorithm (GA),rough set (RS),ant colony optimization (ACO), et al.
Feature extraction	Linear feature extraction	Principal 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.
Feature extraction	Nonlinear feature extraction	Locally linear embedding (LLE),multidimensional scaling (MDS),Laplacian Eigenmap (LE),multilinear principal component analysis (MPCA),linear discriminant analysis (LDA), et al.

Table 1. Hyperspectral data dimension reduction method

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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