Feature-guided dynamic graph convolutional network for wetland hyperspectral image classification

Recently, graph convolutional networks (GCNs) has attracted wide attention on the wetland classification with limited samples. However, traditional approaches of superpixel generation rely on artificial experience and the spatial information is ignored during the construction of graph structure, whi...

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Bibliographic Details

Published in:	International Journal of Applied Earth Observations and Geoinformation
Main Authors:	Zhongwei Li, Qiao Meng, Fangming Guo, Leiquan Wang, Wenhao Huang, Yabin Hu, Jian Liang
Format:	Article
Language:	English
Published:	Elsevier 2023-09-01
Subjects:	Wetlands classification Hyperspectral image (HSI) Dynamic graph convolutional networks(DGCN) Learnable superpixel generation Feature-guided update
Online Access:	http://www.sciencedirect.com/science/article/pii/S1569843223003096