Demos and algorithms for Hyperspectral Super-resolution (also known as Hyperspectral-Multispectral image fusion) via Tensor Factorization.
Reference 1: C.I. Kanatsoulis, X. Fu, N.D. Sidiropoulos and W.K. Ma, ``Hyperspectral Super-resolution: A Coupled Tensor Factorization Approach,'' IEEE Transactions in Signal Processing, 2018
Reference 2: C.I. Kanatsoulis, X. Fu, N.D. Sidiropoulos and W.K. Ma, ``Hyperspectral Super-resolution via Coupled Tensor Factorization: Identifiability and Algorithms,'' IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018
In order to run the demos and the algorithms the Tensorlab toolbox for MATLAB is required and can be downloaded from the following link: https://www.tensorlab.net
Download the Pavia University Hyperspectral image (PaviaU.mat) from the following link: http://www.ehu.eus/ccwintco/uploads/e/ee/PaviaU.mat