A Dual-Branch Fusion of a Graph Convolutional Network and a Convolutional Neural Network for Hyperspectral Image Classification

Semi-supervised graph convolutional networks (SSGCNs) have been proven to be effective in hyperspectral image classification (HSIC). However, limited training data and spectral uncertainty restrict the classification performance, and the computational demands of a graph convolution network (GCN) pre...

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Bibliografske podrobnosti

Principais autores:	Pan Yang, Xinxin Zhang
Format:	Artigo
Jezik:	Inglês
Izdano:	MDPI AG 2024-07-01
Serija:	Sensors
Teme:	hyperspectral image classification graph convolution network convolution neural network multi-scale superpixel segmentation multi-fusion information
Online dostop:	https://www.mdpi.com/1424-8220/24/14/4760
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