79 citations · 161 across the 8 of their papers we have counts for
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eess.IV2024★ 1 cited
Unrolling Plug-and-Play Network for Hyperspectral Unmixing
Min Zhao, Linruize Tang, Jie Chen
Deep learning based unmixing methods have received great attention in recent years and achieve remarkable performance. These methods employ a data-driven approach to extract struct…
eess.IV2023
Guided Deep Generative Model-based Spatial Regularization for Multiband Imaging Inverse Problems
Min Zhao, Nicolas Dobigeon, Jie Chen
When adopting a model-based formulation, solving inverse problems encountered in multiband imaging requires to define spatial and spectral regularizations. In most of the works of…
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…