Tensor Robust CUR for Compression and Denoising of Hyperspectral Data

Hyperspectral images are often contaminated with noise which degrades the quality of data. Recently, tensor robust principal component analysis (TRPCA) has been utilized to remove noise from hyperspectral images, improving classification accuracy. However, the high dimensionality and size of hypersp...

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Bibliographic Details

Published in:	IEEE Access
Main Authors:	Mohammad M. Salut, David V. Anderson
Format:	Article
Language:	English
Published:	IEEE 2023-01-01
Subjects:	Low-rank tensor recovery tensor robust CUR tensor robust PCA hyperspectral image denoising noisy hyperspectral image classification
Online Access:	https://ieeexplore.ieee.org/document/10189858/