Detection of Red-Meat Adulteration by Deep Spectral–Spatial Features in Hyperspectral Images-Reference-Cited by-同舟云学术

Detection of Red-Meat Adulteration by Deep Spectral–Spatial Features in Hyperspectral Images

Published:2018-05-03 Issue:5 Volume:4 Page:63
ISSN:2313-433X
Container-title:Journal of Imaging
language:en
Short-container-title:J. Imaging

Author:

Al-Sarayreh Mahmoud,M. Reis Marlon,Qi Yan Wei^ORCID,Klette Reinhard

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.

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2. Classification of Hyperspectral Images by Exploiting Spectral–Spatial Information of Superpixel via Multiple Kernels

3. Application of NIR hyperspectral imaging for discrimination of lamb muscles

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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