Hyperspectral Image Classification Based on a Shuffled Group Convolutional Neural Network with Transfer Learning

Hyperspectral Image Classification Based on a Shuffled Group Convolutional Neural Network with Transfer Learning

Convolutional neural networks (CNNs) have been widely applied in hyperspectral imagery (HSI) classification. However, their classification performance might be limited by the scarcity of labeled data to be used for training and validation. In this paper, we propose a novel lightweight shuffled group...

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Bibliographic Details
Main Authors:	Yao Liu, Lianru Gao, Chenchao Xiao, Ying Qu, Ke Zheng, Andrea Marinoni
Format:	Article
Language:	English
Published:	MDPI AG 2020-06-01
Series:	Remote Sensing
Subjects:	lightweight convolutional neural networks deep learning hyperspectral imagery classification transfer learning
Online Access:	https://www.mdpi.com/2072-4292/12/11/1780

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