Probability-weighted tensor robust PCA with CP decomposition for hyperspectral image restoration

•Both sparse outliers and dense noise would affect the recovery performance of Hyperspectral Image.•Different weights could be imposed on the different components in Tensor robust principal component analysis (TRPCA) to further exploit their intrinsic property.•Soft-weight could be used to demonstra...

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Bibliographic Details

Published in:	Signal processing Vol. 209; p. 109051
Main Authors:	Zhang, Aiyi, Liu, Fulai, Du, Ruiyan
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.08.2023
Subjects:	CP decomposition HSI restoration Low computational complexity Probability weighted Robust principal component analysis Robust principal component analysis Probability weighted HSI restoration CP decomposition Low computational complexity
ISSN:	0165-1684, 1872-7557
Online Access:	Get full text
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