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

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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Détails bibliographiques
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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https://doaj.org/article/a7f8f9e11ffc4fdc8aa0dcc34806a2bc

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