Gaussian mixture model based approach to anomaly detection in multi/hyperspectral images

@inproceedings{Acito2005GaussianMM,
  title={Gaussian mixture model based approach to anomaly detection in multi/hyperspectral images},
  author={Nicola Acito and Marco Diani and Giovanni Corsini},
  booktitle={SPIE Remote Sensing},
  year={2005}
}
ABSTRACT Anomaly detectors reveal the presence of objects/materials in a multi/hyperspectral image simply searching for those pixels whose spectrum differs from the background one (anomalies ). This procedure can be applied directly to the radiance at the sensor level and has the great advantage of avoiding the difficult step of atmospheric correction. The most popular anomaly detector is the RX algorithm derived by Yu and Reed. It is based on the assumption that the pixels, in a region around… CONTINUE READING

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