[2] Zhou B Y, Gao S H[J]. Experimental study on the morphological image analysis of droplet blood stain using convolution neural network Journal of People's Public Security University of China(Science and Technology), 2018, 43-47.
[3] Li G, Liu Y L, Lin L et al. Application of multi-optical path length modeling in the quantitative analysis of human whole blood[J]. Chinese Journal of Analytical Chemistry, 35, 1495-1498(2007).
[4] Kuula J, Puupponen H H, Rinta H et al. The challenges of analysing blood stains with hyperspectral imaging[J]. Proceedings of SPIE, 9112, 91120W(2014).
[5] Yang J, Mathew J J, Dube R R et al. Spectral feature characterization methods for blood stain detection in crime scene backgrounds[J]. Proceedings of SPIE, 9840, 98400E(2016).
[6] Zhao M F, Li C C, Tang B et al. Research on the detection of trace blood based on hyperspectral imaging technology[J]. Laser Journal, 38, 45-49(2017).
[7] Feng X P. Study on the morphology and characteristics detection of bloodstains based on hyperspectral imaging technology[D]. Chongqing: Chongqing University of Technology(2013).
[8] Qi M J, Chen Y H, Wang X Q et al. Preliminary application of NIR spectral imaging technique in searching for crime scene evidence[J]. Forensic Science and Technology, 42, 15-20(2017).
[9] Alrowaithi M A. McCallum N A, Watson N D. A method for determining the age of a bloodstain[J]. Forensic Science International, 234, e30-e31(2014).
[10] Liu X W, Cui X Y, Yu X M et al. Understanding the thermal stability of human serum proteins with the related near-infrared spectral variables selected by Monte Carlo-uninformative variable elimination[J]. Chinese Chemical Letters, 28, 1447-1452(2017).
[11] Edelman G, van Leeuwen T G, Aalders M C G. Hyperspectral imaging for the age estimation of blood stains at the crime scene[J]. Forensic Science International, 223, 72-77(2012).
[12] Li B, Beveridge P. O'Hare W T, et al. The age estimation of blood stains up to 30 days old using visible wavelength hyperspectral image analysis and linear discriminant analysis[J]. Science & Justice, 53, 270-277(2013).
[13] Bergmann T, Heinke F, Labudde D. Towards substrate-independent age estimation of blood stains based on dimensionality reduction and k-nearest neighbor classification of absorbance spectroscopic data[J]. Forensic Science International, 278, 1-8(2017).
[14] Bremmer R H, de Bruin D M, de Joode M et al. Biphasic oxidation of oxy-hemoglobin in bloodstains[J]. PLoS ONE, 6, e21845(2011).
[15] Wu D, Sun D W, He Y. Application of long-wave near infrared hyperspectral imaging for measurement of color distribution in salmon fillet[J]. Innovative Food Science & Emerging Technologies, 16, 361-372(2012).
[20] Zhang K, Hei B Q, Zhou Z et al. CNN with coefficient of variation-based dimensionality reduction for hyperspectral remote sensing images classification[J]. Journal of Remote Sensing, 22, 87-96(2018).