Hyperspectral image classification of wolfberry with different geographical origins based on three-dimensional convolutional neural network

The hyperspectral image is a three-dimensional (3D) hypercube with spectral and spatial continuity. Traditional hyperspectral imaging (HSI) processing mainly focuses on spectral information. However, this paper proposed a new hybrid convolutional neural network (New-Hybrid-CNN) algorithm using HSI s...

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Auteurs principaux:	Qingshuang Mu, Zhilong Kang, Yanju Guo, Lei Chen, Shenyi Wang, Yuchen Zhao
Format:	article
Langue:	EN
Publié:	Taylor & Francis Group 2021
Sujets:	hyperspectral image three-dimensional convolutional neural network depth separable convolution support vector machine classification of wolfberry origin Nutrition. Foods and food supply TX341-641 Food processing and manufacture TP368-456
Accès en ligne:	https://doaj.org/article/a7f8f9e11ffc4fdc8aa0dcc34806a2bc
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Hyperspectral image classification of wolfberry with different geographical origins based on three-dimensional convolutional neural network

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