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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Vydané v:	Signal processing Ročník 209; s. 109051
Hlavní autori:	Zhang, Aiyi, Liu, Fulai, Du, Ruiyan
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.08.2023
Predmet:	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
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