Joint linear/nonlinear spectral unmixing of hyperspectral image data

@article{Plaza2007JointLS,
  title={Joint linear/nonlinear spectral unmixing of hyperspectral image data},
  author={Antonio Plaza and Antonio J. Plaza and Rosa M. P{\'e}rez and Pablo Mart{\'i}nez},
  journal={2007 IEEE International Geoscience and Remote Sensing Symposium},
  year={2007},
  pages={4037-4040}
}
Many available techniques for spectral mixture analysis involve the separation of mixed pixel spectra collected by imaging spectrometers into pure component (endmember) spectra, and the estimation of abundance values for each end- member. Although linear mixing models generally provide a good abstraction of the mixing process, several naturally occurring situations exist where nonlinear models may provide the most accurate assessment of endmember abundance. In this paper, we propose a combined… CONTINUE READING

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