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Hyperspectral Unmixing Under Endmember Variability: A Variational Inference Framework
Yuening Li, Xiao Fu, Junbin Liu +1
This work proposes a variational inference (VI) framework for hyperspectral unmixing in the presence of endmember variability (HU-EV). An EV-accounted noisy linear mixture model (L…
Extreme Point Pursuit -- Part II: Further Error Bound Analysis and Applications
Junbin Liu, Ya Liu, Wing-Kin Ma +2
In the first part of this study, a convex-constrained penalized formulation was studied for a class of constant modulus (CM) problems. In particular, the error bound techniques wer…
Extreme Point Pursuit -- Part I: A Framework for Constant Modulus Optimization
Junbin Liu, Ya Liu, Wing-Kin Ma +2
This study develops a framework for a class of constant modulus (CM) optimization problems, which covers binary constraints, discrete phase constraints, semi-orthogonal matrix cons…
Multilayer Simplex-structured Matrix Factorization for Hyperspectral Unmixing with Endmember Variability
Junbin Liu, Yuening Li, Wing-Kin Ma
Given a hyperspectral image, the problem of hyperspectral unmixing (HU) is to identify the endmembers (or materials) and the abundance (or endmembers' contributions on pixels) that…