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...

Full description

Saved in:
Bibliographic Details
Main Authors: Qingshuang Mu, Zhilong Kang, Yanju Guo, Lei Chen, Shenyi Wang, Yuchen Zhao
Format: article
Language:EN
Published: Taylor & Francis Group 2021
Subjects:
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
Online Access:https://doaj.org/article/a7f8f9e11ffc4fdc8aa0dcc34806a2bc
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doaj.org/article/a7f8f9e11ffc4fdc8aa0dcc34806a2bc

Similar Items