Supporting Material for Blind Image Fusion for Hyperspectral Imaging with the Directional Total Variation
Authors
Ehrhardt, MJ
Bungert, Leon
Coomes, David
Rasch, Jennifer
Change log
Abstract
This software allows to reproduce all results from the accompanying paper. It is written in MATLAB and can be executed on a standard desktop with standard amount of RAM.
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Keywords
remote sensing, super-resolution, pansharpening, blind deconvolution, hyperspectral imaging, inverse problems
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Sponsorship
Engineering and Physical Sciences Research Council (EP/M00483X/1)
Leverhulme Trust (RPG-2015-250)
Engineering and Physical Sciences Research Council (EP/N014588/1)
Engineering and Physical Sciences Research Council (EP/J009539/1)
Alan Turing Institute (unknown)
European Commission Horizon 2020 (H2020) Marie Sk?odowska-Curie actions (691070)
Leverhulme Trust (RPG-2015-250)
Engineering and Physical Sciences Research Council (EP/N014588/1)
Engineering and Physical Sciences Research Council (EP/J009539/1)
Alan Turing Institute (unknown)
European Commission Horizon 2020 (H2020) Marie Sk?odowska-Curie actions (691070)