Sparsity Promoting Iterated Constrained Endmember Detection in Hyperspectral Imagery

@article{Zare2007SparsityPI,
  title={Sparsity Promoting Iterated Constrained Endmember Detection in Hyperspectral Imagery},
  author={Alina Zare and Paul D. Gader},
  journal={IEEE Geoscience and Remote Sensing Letters},
  year={2007},
  volume={4},
  pages={446-450}
}
An extension of the iterated constrained endmember (ICE) algorithm that incorporates sparsity-promoting priors to find the correct number of endmembers is presented. In addition to solving for endmembers and endmember fractional maps, this algorithm attempts to autonomously determine the number of endmembers that are required for a particular scene. The number of endmembers is found by adding a sparsity-promoting term to ICE's objective function. 
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