Improving Autoencoder Training Performance for Hyperspectral Unmixing with Network Reinitialisation

Kamil Książek, Przemysław Głomb, Michał Romaszewski +3

Neural networks, in particular autoencoders, are one of the most promising solutions for unmixing hyperspectral data, i.e. reconstructing the spectra of observed substances (endmem…