318 citations · 2.2k across the 47 of their papers we have counts for
Showing 2014 · stat.MLShow all
3 papers · 2 filters
stat.ML2014★ 73 cited
Self-Dictionary Sparse Regression for Hyperspectral Unmixing: Greedy Pursuit and Pure Pixel Search are Related
Xiao Fu, Wing-Kin Ma, Tsung-Han Chan +1
This paper considers a recently emerged hyperspectral unmixing formulation based on sparse regression of a self-dictionary multiple measurement vector (SD-MMV) model, wherein the m…
stat.ML2014★ 10 cited
Enhancing Pure-Pixel Identification Performance via Preconditioning
Nicolas Gillis, Wing-Kin Ma
In this paper, we analyze different preconditionings designed to enhance robustness of pure-pixel search algorithms, which are used for blind hyperspectral unmixing and which are e…
stat.ML2014★ 120 cited
Identifiability of the Simplex Volume Minimization Criterion for Blind Hyperspectral Unmixing: The No Pure-Pixel Case
Chia-Hsiang Lin, Wing-Kin Ma, Wei-Chiang Li +2
In blind hyperspectral unmixing (HU), the pure-pixel assumption is well-known to be powerful in enabling simple and effective blind HU solutions. However, the pure-pixel assumption…