Unmixing with Low-rank Tensor Regularization Algorithm accounting for spectral Variability (ULTRA-V)
Implements the ULTRA-V algorithm in
- Imbiriba, T., Borsoi, R.A. and Bermudez, J.C.M., 2019. Low-rank tensor modeling for hyperspectral unmixing accounting for spectral variability. IEEE Transactions on Geoscience and Remote Sensing, 58(3), pp.1833-1842.
(see, https://ieeexplore.ieee.org/abstract/document/8909372 or https://arxiv.org/pdf/1811.02413.pdf)
Needs Tensorlab which can be obtained at: https://www.tensorlab.net/
Once downloaded add the tensorlab folder to the ULTRA-V folder and run ULTRAV_RealData.m