An NCM-based Bayesian algorithm for hyperspectral unmixing

@article{Eches2009AnNB,
  title={An NCM-based Bayesian algorithm for hyperspectral unmixing},
  author={Olivier Eches and Nicolas Dobigeon and Jean-Yves Tourneret},
  journal={2009 First Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing},
  year={2009},
  pages={1-4}
}
This paper studies a new Bayesian algorithm to unmix hyperspectral images. The algorithm is based on the recent normal compositional model introduced by Eismann. Contrary to the standard linear mixing model, the endmember spectra are assumed to be random signatures with know mean vectors. Appropriate prior distributions are assigned to the abundance… CONTINUE READING