DC-GCN: A Lightweight Graph Convolutional Network Integrating Local and Global Context for Semantic Segmentation

Graph convolutional networks (GCNs) have demonstrated remarkable performance in hyperspectral image classification and remote sensing scene recognition. However, their application to semantic segmentation remains relatively underexplored. Traditional convolutional neural networks, constrained by fix...

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Detalhes bibliográficos

Principais autores:	Tao He, Jianyu Chen
Formato:	Artigo
Idioma:	Inglês
Publicado em:	IEEE 2025-01-01
coleção:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Assuntos:	Dense residual network graph convolutional network (GCN) graph reconstruction inductive learning semantic segmentation
Acesso em linha:	https://ieeexplore.ieee.org/document/11218825/
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