Spatial-Pooling-Based Graph Attention U-Net for Hyperspectral Image Classification

In recent years, graph convolutional networks (GCNs) have attracted increasing attention in hyperspectral image (HSI) classification owing to their exceptional representation capabilities. However, the high computational requirements of GCNs have led most existing GCN-based HSI classification method...

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Bibliografiska uppgifter

Huvudupphov:	Qi Diao, Yaping Dai, Jiacheng Wang, Xiaoxue Feng, Feng Pan, Ce Zhang
Materialtyp:	Artigo
Språk:	Inglês
Utgiven:	MDPI AG 2024-03-01
Serie:	Remote Sensing
Ämnen:	graph convolutional network dynamic graph attention mechanism hyperspectral image classification
Länkar:	https://www.mdpi.com/2072-4292/16/6/937
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