Exploring high-order correlation for hyperspectral image denoising with hypergraph convolutional network

High-order correlation is an important property of hyperspectral images (HSIs) and has been widely investigated in model-based HSI denoising. However, the existing deep learning-based HSI denoising approaches have not fully utilized the high-order correlation. Hypergraph convolutional networks have...

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Veröffentlicht in:	Signal processing Jg. 227; S. 109718
Hauptverfasser:	Zhang, Jun, Tan, Yaoxin, Wei, Xiaohui
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.02.2025
Schlagworte:	High-order correlation High-order structure Hypergraph convolutional network Hyperspectral image denoising Hyperspectral image denoising High-order structure High-order correlation Hypergraph convolutional network
ISSN:	0165-1684
Online-Zugang:	Volltext
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