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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Ngā kaituhi matua:	Yunan He, Chenxuan Yang, Sheng Jiang, Zhiji Deng, Peng Zhao, Ye Li
Hōputu:	Artigo
Reo:	Inglês
I whakaputaina:	IEEE 2022-01-01
Rangatū:	IEEE Access
Ngā marau:	Bloodstain identification visible/near-infrared hyperspectral imaging deep learning convolutional neural networks feature extraction
Urunga tuihono:	https://ieeexplore.ieee.org/document/9844736/
Ngā Tūtohu:	Tāpirihia he Tūtohu Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!