Sparse Unmixing of Hyperspectral Data

@article{Iordache2011SparseUO,
  title={Sparse Unmixing of Hyperspectral Data},
  author={Marian-Daniel Iordache and Jos{\'e} M. Bioucas-Dias and Antonio J. Plaza},
  journal={IEEE Transactions on Geoscience and Remote Sensing},
  year={2011},
  volume={49},
  pages={2014-2039}
}
Linear spectral unmixing is a popular tool in remotely sensed hyperspectral data interpretation. It aims at estimating the fractional abundances of pure spectral signatures (also called as endmembers) in each mixed pixel collected by an imaging spectrometer. In many situations, the identification of the end-member signatures in the original data set may be challenging due to insufficient spatial resolution, mixtures happening at different scales, and unavailability of completely pure spectral… CONTINUE READING

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