CMHLFG: A Cross-Layer Multihop Graph Convolution and High-Low-Frequency Graph Attention Fusion Network for Hyperspectral Image Classification

Graph convolutional networks (GCNs) have emerged as a prominent research focus for hyperspectral image classification (HSIC). However, existing GCN-based HSIC methods still face the following challenges: the graph structure has difficulty fully capturing complex neighborhood relationships, and the a...

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Автори:	Qiaoshuang Si, Jinghui Yang, Ning Wang, Liguo Wang
Формат:	Artigo
Мова:	Inglês
Опубліковано:	IEEE 2025-01-01
Серія:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Предмети:	Classification graph attention graph convolutional high-low-frequency information hyperspectral image (HSI)
Онлайн доступ:	https://ieeexplore.ieee.org/document/11216393/
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