GPU Implementation of Iterative-Constrained Endmember Extraction from Remotely Sensed Hyperspectral Images

@article{Sigursson2015GPUIO,
  title={GPU Implementation of Iterative-Constrained Endmember Extraction from Remotely Sensed Hyperspectral Images},
  author={Eysteinn M{\'a}r Sigurðsson and Antonio J. Plaza and J{\'o}n Atli Benediktsson},
  journal={IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},
  year={2015},
  volume={8},
  pages={2939-2949}
}
Hyperspectral unmixing is an important technique for remotely sensed hyperspectral data exploitation. Linear spectral unmixing is frequently used to characterize mixed pixels in hyperspectral data. Over the last few years, many techniques have been proposed for identifying pure spectral signatures (endmembers) in hyperspectral images. The iterated constrained endmembers (ICE) algorithm is an iterative method that uses the linear model to extract endmembers and abundances simultaneously from the… CONTINUE READING

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