High-quality super-resolution mapping using spatial deep learning

Super-resolution mapping (SRM) is a critical technology in remote sensing. Recently, several deep learning models have been developed for SRM. Most of these models, however, only use a single stream to process remote sensing images and mainly focus on capturing spectral features. This can undermine...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhang, Xining, Ge, Yong, Chen, Jin, Ling, Feng, Wang, Qunming, Du, Delin, Xiang, Ru
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10241974/
https://www.ncbi.nlm.nih.gov/pubmed/37288344
http://dx.doi.org/10.1016/j.isci.2023.106875

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10241974/
https://www.ncbi.nlm.nih.gov/pubmed/37288344
http://dx.doi.org/10.1016/j.isci.2023.106875

Ejemplares similares