Super-Resolution for “Jilin-1” Satellite Video Imagery via a Convolutional Network

Super-resolution for satellite video attaches much significance to earth observation accuracy, and the special imaging and transmission conditions on the video satellite pose great challenges to this task. The existing deep convolutional neural-network-based methods require pre-processing or post-pr...

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Detalles Bibliográficos
Autores principales: Xiao, Aoran, Wang, Zhongyuan, Wang, Lei, Ren, Yexian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5948634/
https://www.ncbi.nlm.nih.gov/pubmed/29652838
http://dx.doi.org/10.3390/s18041194

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5948634/
https://www.ncbi.nlm.nih.gov/pubmed/29652838
http://dx.doi.org/10.3390/s18041194

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