Blind image fusion for hyperspectral imaging with the directional total variation

@article{Bungert2017BlindIF,
  title={Blind image fusion for hyperspectral imaging with the directional total variation},
  author={Leon Bungert and David Anthony Coomes and Matthias Joachim Ehrhardt and Jennifer Rasch and Rafael Reisenhofer and Carola-Bibiane Sch{\"o}nlieb},
  journal={Inverse Problems},
  year={2017},
  volume={34}
}
Hyperspectral imaging is a cutting-edge type of remote sensing used for mapping vegetation properties, rock minerals and other materials. A major drawback of hyperspectral imaging devices is their intrinsic low spatial resolution. In this paper, we propose a method for increasing the spatial resolution of a hyperspectral image by fusing it with an image of higher spatial resolution that was obtained with a different imaging modality. This is accomplished by solving a variational problem in… 
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