Multiscale Pixel-Level and Superpixel-Level Method for Hyperspectral Image Classification: Adaptive Attention and Parallel Multi-Hop Graph Convolution

Convolutional neural networks (CNNs) and graph convolutional networks (GCNs) have led to promising advancements in hyperspectral image (HSI) classification; however, traditional CNNs with fixed square convolution kernels are insufficiently flexible to handle irregular structures. Similarly, GCNs tha...

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Hlavní autoři:	Junru Yin, Xuan Liu, Ruixia Hou, Qiqiang Chen, Wei Huang, Aiguang Li, Peng Wang
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2023-08-01
Edice:	Remote Sensing
Témata:	convolutional neural networks (CNNs) graph convolutional networks (GCNs) hyperspectral image (HSI) classification attention mechanism multi-scale features
On-line přístup:	https://www.mdpi.com/2072-4292/15/17/4235
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