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LSTNet: A Reference-Based Learning Spectral Transformer Network for Spectral Super-Resolution
Hyperspectral images (HSIs) are data cubes containing rich spectral information, making them beneficial to many Earth observation missions. However, due to the limitations of the associated imaging systems and their sensors, such as the swath width and revisit period, hyperspectral imagery over a la...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8914896/ https://www.ncbi.nlm.nih.gov/pubmed/35271131 http://dx.doi.org/10.3390/s22051978 |