Blind spectral unmixing by local maximization of non-Gaussianity

@article{Caiafa2008BlindSU,
  title={Blind spectral unmixing by local maximization of non-Gaussianity},
  author={Cesar F. Caiafa and Emanuele Salerno and Araceli N. Proto and L. Fiumi},
  journal={Signal Processing},
  year={2008},
  volume={88},
  pages={50-68}
}
We approach the estimation of material percentages per pixel (endmember fractional abundances) in hyperspectral remote-sensed images as a blind source separation problem. This task is commonly known as spectral unmixing. Classical techniques require the knowledge of the existing materials and their spectra, which is an unrealistic situation in most cases. In contrast to recently presented blind techniques based on independent component analysis, we implement here a dependent component analysis… CONTINUE READING
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