Bloodstain Identification Based on Visible/Near-Infrared Hyperspectral Imaging With Convolutional Neural Network
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DOI: 10.1109/access.2022.3195029
Abstract: 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,… read more here.
Keywords: identification; hyperspectral imaging; bloodstain; convolutional neural ... See more keywords