79 citations · 161 across the 8 of their papers we have counts for
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eess.IV2019★ 77 cited
Hyperspectral Unmixing via Deep Autoencoder Networks for a Generalized Linear-Mixture/Nonlinear-Fluctuation Model
Min Zhao, Mou Wang, Jie Chen +1
Spectral unmixing is an important task in hyperspectral image processing for separating the mixed spectral data pertaining to various materials observed individual pixels. Recently…
cs.CV2019★ 1 cited
A laboratory-created dataset with ground-truth for hyperspectral unmixing evaluation
Min Zhao, Jie Chen, Zhe He
Spectral unmixing is an important and challenging problem in hyperspectral data processing. This topic has been extensively studied and a variety of unmixing algorithms have been p…