Supporting Material for Blind Image Fusion for Hyperspectral Imaging with the Directional Total Variation
Repository URI
Repository DOI
Change log
Authors
Ehrhardt, MJ
Bungert, Leon
Coomes, David
Rasch, Jennifer
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.
Description
Keywords
remote sensing, super-resolution, pansharpening, blind deconvolution, hyperspectral imaging, inverse problems
Journal Title
Conference Name
Journal ISSN
Volume Title
Publisher
Publisher DOI
Publisher URL
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)