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...

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Detalles Bibliográficos
Autores principales: Yuan, Debao, Wu, Ling, Jiang, Huinan, Zhang, Bingrui, Li, Jian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8914896/
https://www.ncbi.nlm.nih.gov/pubmed/35271131
http://dx.doi.org/10.3390/s22051978

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