Nonlinear Unmixing by Using Different Metrics in a Linear Unmixing Chain

@article{Heylen2015NonlinearUB,
  title={Nonlinear Unmixing by Using Different Metrics in a Linear Unmixing Chain},
  author={Rob Heylen and Paul Scheunders and Anand Rangarajan and Paul D. Gader},
  journal={IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},
  year={2015},
  volume={8},
  pages={2655-2664}
}
Several popular endmember extraction and unmixing algorithms are based on the geometrical interpretation of the linear mixing model, and assume the presence of pure pixels in the data. These endmembers can be identified by maximizing a simplex volume, or finding maximal distances in subsequent subspace projections, while unmixing can be considered a simplex projection problem. Since many of these algorithms can be written in terms of distance geometry, where mutual distances are the properties… CONTINUE READING
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