GPU implementation of target and anomaly detection algorithms for remotely sensed hyperspectral image analysis

@inproceedings{Paz2010GPUIO,
  title={GPU implementation of target and anomaly detection algorithms for remotely sensed hyperspectral image analysis},
  author={Abel Wajnerman Paz and Antonio Carlos Rodr{\'i}guez Plaza},
  booktitle={Optical Engineering + Applications},
  year={2010}
}
Automatic target and anomaly detection are considered very important tasks for hyperspectral data exploitation. These techniques are now routinely applied in many application domains, including defence and intelligence, public safety, precision agriculture, geology, or forestry. Many of these applications require timely responses for swift decisions which depend upon high computing performance of algorithm analysis. However, with the recent explosion in the amount and dimensionality of… CONTINUE READING
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