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Semiblind Hyperspectral Unmixing in the Presence of Spectral Library Mismatches
Xiao Fu, Wing-Kin Ma, José Bioucas-Dias +1
The dictionary-aided sparse regression (SR) approach has recently emerged as a promising alternative to hyperspectral unmixing (HU) in remote sensing. By using an available spectra…
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…
Source Separation and Clustering of Phase-Locked Subspaces: Derivations and Proofs
Miguel Almeida, Jan-Hendrik Schleimer, José Bioucas-Dias +1
Due to space limitations, our submission "Source Separation and Clustering of Phase-Locked Subspaces", accepted for publication on the IEEE Transactions on Neural Networks in 2011,…