An Efficient Graph Convolutional RVFL Network for Hyperspectral Image Classification

An Efficient Graph Convolutional RVFL Network for Hyperspectral Image Classification

Graph convolutional networks (GCN) have emerged as a powerful alternative tool for analyzing hyperspectral images (HSIs). Despite their impressive performance, current works strive to make GCN more sophisticated through either elaborate architecture or fancy training tricks, making them prohibitive...

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Bibliographic Details
Main Authors: Zijia Zhang, Yaoming Cai, Xiaobo Liu, Min Zhang, Yan Meng
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Remote Sensing
Subjects:
graph convolutional network
graph-level classification
hyperspectral image
RVFL network
Online Access:https://www.mdpi.com/2072-4292/16/1/37

Internet

https://www.mdpi.com/2072-4292/16/1/37

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