Hyperspectral Image Denoising via Tensor Low-Rank Prior and Unsupervised Deep Spatial-Spectral Prior
Hyperspectral image (HSI) denoising is a fundamental task in remote sensing image processing, which is helpful for HSI subsequent applications, such as unmixing and classification. Thanks to the powerful representation ability of untrained deep neural networks (DNNs), deep image prior (DIP)-based me...
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Veröffentlicht in: | IEEE transactions on geoscience and remote sensing 2022, Vol.60, p.1-14 |
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