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Super-Resolution of Sentinel-2 Images Using a Spectral Attention Mechanism
2022
Remote Sensing
Many visual applications require high-resolution images for an adequate interpretation of the data stored within them. In remote sensing, the appearance of satellites such as Sentinel or Landsat has facilitated the access to data thanks to their free offer of multispectral images. However, the spatial resolution of these satellites is insufficient for many tasks. Therefore, the objective of this work is to apply deep learning techniques to increase the resolution of the Sentinel-2
doi:10.3390/rs14122890
fatcat:46thrcfbkrcmhjofz3oqmjz2fu