Bloodstain Identification Based on Visible/Near-Infrared Hyperspectral Imaging With Convolutional Neural Network
Author:
Affiliation:
1. School of Physics, Electronic Science and Technology, Changchun University of Science and Technology, Changchun, China
2. Zhejiang Dahua Technology Company Ltd., Hangzhou, China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/9668973/09844736.pdf?arnumber=9844736
Reference25 articles.
1. Use of near infrared hyperspectral imaging as a nondestructive method of determining and classifying shelf life of cakes
2. Blood Stain Classification with Hyperspectral Imaging and Deep Neural Networks
3. Hyperspectral Remote Sensing Data Analysis and Future Challenges
4. Dimensionality Reduction and Classification of Hyperspectral Images Using Ensemble Discriminative Local Metric Learning
5. SVM- and MRF-Based Method for Accurate Classification of Hyperspectral Images
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