Near real-time endmember extraction from remotely sensed hyperspectral data using NVidia GPUs

@inproceedings{Snchez2010NearRE,
  title={Near real-time endmember extraction from remotely sensed hyperspectral data using NVidia GPUs},
  author={Sergio S{\'a}nchez and Gabriel Mart{\'i}n and Abel Wajnerman Paz and Antonio J. Plaza and Javier Plaza},
  booktitle={Real-Time Image and Video Processing},
  year={2010}
}
One of the most important techniques for hyperspectral data exploitation is spectral unmixing, which aims at characterizing mixed pixels. When the spatial resolution of the sensor is not fine enough to separate different spectral constituents, these can jointly occupy a single pixel and the resulting spectral measurement will be a composite of the individual pure spectra. The N-FINDR algorithm is one of the most widely used and successfully applied methods for automatically determining… CONTINUE READING

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