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Open Geosciences
(May 2022)
Hyperspectral denoising based on the principal component low-rank tensor decomposition
Wu Hao,
Yue Ruihan,
Gao Ruixue,
Wen Rui,
Feng Jun,
Wei Youhua
Affiliations
Wu Hao
College of Management Science, Chengdu University of Technology, Chengdu, 610059, China
Yue Ruihan
College of Mathematics and Physics, Chengdu University of Technology, Chengdu, 610059, China
Gao Ruixue
College of Mathematics and Physics, Chengdu University of Technology, Chengdu, 610059, China
Wen Rui
College of Mathematics and Physics, Chengdu University of Technology, Chengdu, 610059, China
Feng Jun
College of Mathematics and Physics, Chengdu University of Technology, Chengdu, 610059, China
Wei Youhua
College of Mathematics and Physics, Chengdu University of Technology, Chengdu, 610059, China
DOI
https://doi.org/10.1515/geo-2022-0379
Journal volume & issue
Vol. 14, no. 1
pp. 518 – 529
Abstract
Read online
No abstracts available.
Keywords
hyperspectral denoising
principal component
low-rank
tensor decomposition
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