Unsupervised Spectral Super-Resolution Guided by Spectral Sampling Priors
Spectral super-resolution (SSR) has garnered significant attention in recent years. Most existing networks rely on supervised methods, which require paired RGB and hyperspectral images (HSIs) for training. However, HSI acquisition is costly and time-consuming due to specialized hardware and complex...
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| Hoofdauteurs: | , , , , , , |
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| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
IEEE
2025-01-01
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| Reeks: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Onderwerpen: | |
| Online toegang: | https://ieeexplore.ieee.org/document/11098941/ |
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