Super-Resolution of Sentinel-2 Images Using Convolutional Neural Networks and Real Ground Truth Data

Super-Resolution of Sentinel-2 Images Using Convolutional Neural Networks and Real Ground Truth Data

Earth observation data is becoming more accessible and affordable thanks to the Copernicus programme and its Sentinel missions. Every location worldwide can be freely monitored approximately every 5 days using the multi-spectral images provided by Sentinel-2. The spatial resolution of these images f...

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Bibliographic Details
Main Authors: Mikel Galar, Rubén Sesma, Christian Ayala, Lourdes Albizua, Carlos Aranda
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Remote Sensing
Subjects:
Sentinel-2
super-resolution
deep learning
convolutional neural networks
multi-spectral image
Online Access:https://www.mdpi.com/2072-4292/12/18/2941

Internet

https://www.mdpi.com/2072-4292/12/18/2941

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