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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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Furkejuvvon:
Bibliográfalaš dieđut
Váldodahkkit: Mohammad M. Salut, David V. Anderson
Materiálatiipa: Artigo
Giella:Inglês
Almmustuhtton: IEEE 2023-01-01
Ráidu:IEEE Access
Fáttát:
Liŋkkat:https://ieeexplore.ieee.org/document/10189858/
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