Latent spectral-spatial diffusion model for single hyperspectral super-resolution
In recent years, significant advances have been achieved in addressing super-resolution (SR) tasks for hyperspectral images, primarily through deep learning-based methodologies. Nevertheless, methods oriented toward optimizing peak signal-to-noise ratio (PSNR) often tend to drive the SR image to an...
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| Hlavní autoři: | , , , , , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Taylor & Francis Group
2025-09-01
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| Edice: | Geo-spatial Information Science |
| Témata: | |
| On-line přístup: | https://www.tandfonline.com/doi/10.1080/10095020.2024.2378917 |
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