Hybrid CNN-GCN Network for Hyperspectral Image Classification

In recent years, convolutional neural networks (CNNs) have been impressive due to their excellent feature representation abilities, but it is difficult to learn long-distance spatial structures information. Unlike CNN, graph convolutional networks (GCNs) can well handle the intrinsic manifold struct...

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Bibliographic Details

Published in:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Main Authors:	Cuiping Shi, Diling Liao, Liguo Wang
Format:	Article
Language:	English
Published:	IEEE 2025-01-01
Subjects:	Cross fusion edge enhanced graph convolutional network (GCN) hyperspectral image (HSI)
Online Access:	https://ieeexplore.ieee.org/document/10915579/