Hyperspectral Image Classification with Localized Graph Convolutional Filtering

Hyperspectral Image Classification with Localized Graph Convolutional Filtering

The nascent graph representation learning has shown superiority for resolving graph data. Compared to conventional convolutional neural networks, graph-based deep learning has the advantages of illustrating class boundaries and modeling feature relationships. Faced with hyperspectral image (HSI) cla...

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Bibliographic Details
Main Authors: Shengliang Pu, Yuanfeng Wu, Xu Sun, Xiaotong Sun
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Remote Sensing
Subjects:
hyperspectral image classification
graph representation learning
localized graph convolutional filtering
graph convolutional network
deep learning
Online Access:https://www.mdpi.com/2072-4292/13/3/526

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https://www.mdpi.com/2072-4292/13/3/526

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