Attention multihop graph and multiscale convolutional fusion network for hyperspectral image classification

Attention multihop graph and multiscale convolutional fusion network for hyperspectral image classification

Convolutional neural networks (CNNs) for hyperspectral image (HSI) classification have generated good progress. Meanwhile, graph convolutional networks (GCNs) have also attracted considerable attention by using unlabeled data, broadly and explicitly exploiting correlations between adjacent parcels....

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Bibliographic Details
Main Authors: Zhou, Hao, Luo, Fulin, Zhuang, Huiping, Weng, Zhenyu, Gong, Xiuwen, Lin, Zhiping
Other Authors: School of Electrical and Electronic Engineering
Format: Journal Article
Language:English
Published: 2023
Subjects:
Engineering::Electrical and electronic engineering
Attention Fusion
Convolutional Neural Network
Online Access:https://hdl.handle.net/10356/172259

Internet

https://hdl.handle.net/10356/172259

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