Double-Factor Tensor Cascaded-Rank Decomposition for Hyperspectral Image Denoising
Hyperspectral image (HSIs) denoising is a preprocessing step that plays a crucial role in many applications used in Earth observation missions. Low-rank tensor representation can be utilized to restore mixed-noise HSIs, such as those affected by mixed Gaussian, impulse, stripe, and deadline noises....
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| Egile Nagusiak: | , , , |
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| Formatua: | Artigo |
| Hizkuntza: | Inglês |
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MDPI AG
2023-12-01
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| Saila: | Remote Sensing |
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| Sarrera elektronikoa: | https://www.mdpi.com/2072-4292/16/1/109 |
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