1 citations · 2 across the 2 of their papers we have counts for
3 papers
eess.SP2020★ 1 cited
A Plug-and-Play Priors Framework for Hyperspectral Unmixing
Min zhao, Xiuheng Wang, Jie Chen +1
Spectral unmixing is a widely used technique in hyperspectral image processing and analysis. It aims to separate mixed pixels into the component materials and their corresponding a…
cs.CV2020
Hyperspectral Unmixing via Nonnegative Matrix Factorization with Handcrafted and Learnt Priors
Min Zhao, Tiande Gao, Jie Chen +1
Nowadays, nonnegative matrix factorization (NMF) based methods have been widely applied to blind spectral unmixing. Introducing proper regularizers to NMF is crucial for mathematic…
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…