Hyperspectral image classification using graph convolutional network: A comprehensive review-Reference-Cited by-同舟云学术

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Hyperspectral image classification using graph convolutional network: A comprehensive review

Published:2024-12 Issue: Volume:257 Page:125106
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Wu Guoyong^ORCID,Al-qaness Mohammed A.A.^ORCID,Al-Alimi Dalal^ORCID,Dahou Abdelghani^ORCID,Abd Elaziz Mohamed^ORCID,Ewees Ahmed A.^ORCID

Publisher

Elsevier BV

Reference126 articles.

1. Speeding up and enhancing the hyperspectral images classification;AL-Alimi,2022

2. Meta-learner hybrid models to classify hyperspectral images;AL-Alimi;Remote Sensing,2022

3. FHIC: Fast hyperspectral image classification model using ETR dimensionality reduction and ELU activation function;Al-Alimi;IEEE Transactions on Geoscience and Remote Sensing,2023

4. Diffusion-convolutional neural networks;Atwood;Advances in Neural Information Processing Systems,2016

5. Hypergraph convolution and hypergraph attention;Bai;Pattern Recognition,2021

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