Fig. 1

The diagram of our method. The module (1) is the core model, where we extract the endmembers and their fading rate with three-way tensor decomposition from a collection of microfading observations. Then we perform spatio-temporal fading simulation by capturing a hyperspectral image of the same microfaded scene (2). We unmix the hyperspectral image to get the concentration map for each endmember, and then recompose it as a tensor product with the fading rate for each of the modelled time steps. Finally, we extend the time span of the spatial simulations by extrapolating the fading rate for time steps not included in the trained model (3)