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Mixed noise removal in hyperspectral images using low-rank tensor decomposition with spatial-spectral weighted sparsity regularization

This paper addresses the problem of hyperspectral image (HSI) restoration under mixed noise, specifically Gaussian and impulse noise, by proposing a novel method based on low-rank tensor decomposition. While existing low-rank approaches often adopt fixed regularization schemes, they may fail to capt...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Hanh T. M. Tran, Tung Thanh Huynh, Thanh Van Vu, Tran Dang Khoa Phan
Format: Artigo
Sprache:Inglês
Veröffentlicht: The University of Danang 2025-09-01
Schriftenreihe:Tạp chí Khoa học và Công nghệ
Schlagworte:
hyperspectral image restoration
low-rank tensor decomposition
group sparsity
mixed noise
Online-Zugang:https://jst-ud.vn/jst-ud/article/view/10187
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