[DOI: 10.21982/j9jg-vm40] S2sharp
Ulfarsson, Magnus; Palsson, Frosti ; Mura, Mauro Dalla; Sveinsson, Johannes
This code formulates the sharpening process as a solution to an inverse problem. It is based on cyclic descent algorithm called S2Sharp and tunes the parameters using a generalized cross validation and Bayesian optimization. This method sharpens the 60m bands B1, B9 and the 20m bands B4, B5, B6, B7, B8a, B11, B12 to 10m resolution.
Code Link: S2Sharp.zip
Code Size: 18176131 bytes
Code MD5 Checksum: 52604786e02ade3b28ff626fa3879865
Code Access Instructions: The main code is S2sharp.m example.m shows how to use it.
Appears in: M.O. Ulfarsson, F. Palsson, M. Dalla Mura, JR Sveinsson, Sentinel-2 Sharpening Using a Reduced-Rank Method, Transactions on Geoscience and Remote Sensing, volume 57, issue 9, 2019.
See Also: https://github.com/mou12/S2Sharp
Code Languages: Matlab
Sensor Categories: Optical Imager, Optical Spectrometer
Geophysical Model: Inverse
Geophysical Categories: Land: Land Cover/Land Use
Keywords: Multispectral, Remote Sensing, Superresolution, inverse problem, Sentinel-2