Guaranteed Robust Tensor Completion via ∗_<i>L</i>-SVD with Applications to Remote Sensing Data

This paper conducts a rigorous analysis for the problem of robust tensor completion, which aims at recovering an unknown three-way tensor from incomplete observations corrupted by gross sparse outliers and small dense noises simultaneously due to various reasons such as sensor dead pixels, communica...

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Detalhes bibliográficos

Principais autores:	Andong Wang, Guoxu Zhou, Qibin Zhao
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2021-09-01
coleção:	Remote Sensing
Assuntos:	remote sensing data restoration robust tensor completion tensor SVD statistical performance ADMM
Acesso em linha:	https://www.mdpi.com/2072-4292/13/18/3671
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