Super-Resolution of Multispectral Multiresolution Sensors

Remote Sensing sensors, such as MODIS, Aster, VIIRS, Worldview-3 and Sentinel-2 acquire multispectral images in variable spatial resolutions. For example, Sentinel-2 acquires spectral channels at 10, 20 and 60 meters. The aim of this project is to increase the spatial resolution of the lower-resolution bands to the highest available resolution of the sensor. This is enabled from the fact that the underlying geometry of the scene is the same. Inferring the maximum spatial resolution in all wavelengths can create new opportunities to better observe clouds/ice/snow and estimate climate variables.

SupReME
Results on real Sentinel-2 images with a false color composite of bands (B5, B6, B7). These bands lie in the near infrared part of the spectrum and are especially useful for vegetation applications. Left: The input 20 m resolution bands. Right: The super-resolved image.

Publication

Charis Lanaras, Jose Bioucas-Dias, Emmanuel Baltsavias, Konrad Schindler: Download Super-Resolution of Multispectral Multiresolution Images from a Single Sensor (PDF, 1.4 MB), IEEE CVPR EarthVision Workshop, Honolulu, 2017

 

Code

 

Contact

, Jose Bioucas-Dias, Emmanuel Baltsavias

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