Comparison and Evaluation of TV-Based and Low-Rank-Based Destriping Algorithms for Hyperspectral Imagery
Remote sensing image data especially hyperspectral imagery (HSI) data have been widely applied in various research fields. However, HSI often suffers from significant noise contamination, such as stripe noise and Gaussian noise. These noises adversely affect the utilization of remote sensing data, p...
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| Autors principals: | , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
IEEE
2024-01-01
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| Col·lecció: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Matèries: | |
| Accés en línia: | https://ieeexplore.ieee.org/document/10387669/ |
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