Detection of Red-Meat Adulteration by Deep Spectral–Spatial Features in Hyperspectral Images
Author:
Publisher
MDPI AG
Subject
Electrical and Electronic Engineering,Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition,Radiology Nuclear Medicine and imaging
Link
http://www.mdpi.com/2313-433X/4/5/63/pdf
Reference43 articles.
1. Integration of Segmentation Techniques for Classification of Hyperspectral Images
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4. Potential of hyper spectral imaging and pattern recognition for categorization and authentication of red meat;Kamruzzaman;Innov. Food Sci. Emerg. Technol.,2012
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