GPU implementation of the pixel purity index algorithm for hyperspectral image analysis

@article{Snchez2010GPUIO,
  title={GPU implementation of the pixel purity index algorithm for hyperspectral image analysis},
  author={Sergio S{\'a}nchez and Antonio J. Plaza},
  journal={2010 IEEE International Conference On Cluster Computing Workshops and Posters (CLUSTER WORKSHOPS)},
  year={2010},
  pages={1-7}
}
Hyperspectral imaging is a new technique in remote sensing that generates images with hundreds of spectral bands, at different wavelength channels, for the same area on the surface of the Earth. The price paid for such a wealth of spectral information is the enormous amounts of data to be processed. In recent years, several efforts have been directed towards the incorporation of high-performance computing models in remote sensing missions. For this purpose, graphics processing units (GPUs) have… CONTINUE READING

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