Hyperspepectral datasets for unmixing with ID-Net

Dataset containing synthetic and real hyperspectral images for the evaluation of the ID-Net hypersepctral unmixing algorithm, related to the repository https://github.com/ricardoborsoi/IDNet_release and to the paper: Learning Interpretable Deep Disentangled Neural Networks for Hyperspectral Unmixing R.A. Borsoi, D. Erdogmus, T. Imbiriba. IEEE Transactions on Image Processing, 2023.

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	0
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average