Fast Super-Resolution of 20 m Sentinel-2 Bands Using Convolutional Neural Networks

Fast Super-Resolution of 20 m Sentinel-2 Bands Using Convolutional Neural Networks

Images provided by the ESA Sentinel-2 mission are rapidly becoming the main source of information for the entire remote sensing community, thanks to their unprecedented combination of spatial, spectral and temporal resolution, as well as their associated open access policy. Due to a sensor design tr...

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Bibliographic Details
Main Authors: Massimiliano Gargiulo, Antonio Mazza, Raffaele Gaetano, Giuseppe Ruello, Giuseppe Scarpa
Format: Article
Language:English
Published: MDPI AG 2019-11-01
Series:Remote Sensing
Subjects:
pansharpening
data fusion
convolutional neural network
multi-resolution analysis
landcover classification
Online Access:https://www.mdpi.com/2072-4292/11/22/2635

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