Classification and Reconstruction From Random Projections for Hyperspectral Imagery

@article{Li2013ClassificationAR,
  title={Classification and Reconstruction From Random Projections for Hyperspectral Imagery},
  author={Wei Li and Saurabh Prasad and James E. Fowler},
  journal={IEEE Transactions on Geoscience and Remote Sensing},
  year={2013},
  volume={51},
  pages={833-843}
}
There is increasing interest in dimensionality reduction through random projections due in part to the emerging paradigm of compressed sensing. It is anticipated that signal acquisition with random projections will decrease signal-sensing costs significantly; moreover, it has been demonstrated that both supervised and unsupervised statistical learning algorithms work reliably within randomly projected subspaces. Capitalizing on this latter development, several class-dependent strategies are… CONTINUE READING
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