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20192023
most citedEffective training of deep convolutional neural networks for hyperspectral image classification through artificial labeling

25 citations · 35 across the 8 of their papers we have counts for

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eess.IV2021

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…