Anomaly Detection in Hyperspectral Images of Complex Scenes

  title={Anomaly Detection in Hyperspectral Images of Complex Scenes},
  author={Dirk Borghys and E. Truyen and Michal Shimoni and Christiaan Perneel and Dirk. Borghys},
The aim of anomaly detection in hyperspectral image process ing i to detect pixels in the hyperspectral datacube that exhibit sp ectral signatures that are exceptional in the investigated scene. The current paper in v stigates the detection of anomalies in complex environments, i.e. urban and indust rial cenes. The classical anomaly detection consists of a local measurement of dif ferences between the spectral signature of the pixel and the average spectral sig nature of its surroundings. In… CONTINUE READING


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