Physics-Informed Spectral Modeling for Hyperspectral Imaging

Gawrysiak, Zuzanna, Krawiec, Krzysztof

arXiv.org Artificial Intelligence 

PhISM is based on the autoencoder blueprint and involves two stages: (i) autoassociative self-supervised and task-agnostic training of the autoencoder, to form informative latent representations that enable possibly accurate reconstruction of the input image (Section 2.1), and (ii) task-specific training of a prediction module that maps that latent