Bloodstain Identification Based on Visible/Near-Infrared Hyperspectral Imaging With Convolutional Neural Network

Blood samples are easily damaged in traditional bloodstain detection and identification. In complex scenes with interfering objects, bloodstain identification may be inaccurate, with low detection rates and false-positive results. In order to meet these challenges, we propose a bloodstain detection...

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Detalhes bibliográficos

Principais autores:	Yunan He, Chenxuan Yang, Sheng Jiang, Zhiji Deng, Peng Zhao, Ye Li
Formato:	Artigo
Idioma:	Inglês
Publicado em:	IEEE 2022-01-01
Colecção:	IEEE Access
Assuntos:	Bloodstain identification visible/near-infrared hyperspectral imaging deep learning convolutional neural networks feature extraction
Acesso em linha:	https://ieeexplore.ieee.org/document/9844736/
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