Anomaly Detection in Hyperspectral Images of Complex Scenes

@inproceedings{Borghys2009AnomalyDI,
  title={Anomaly Detection in Hyperspectral Images of Complex Scenes},
  author={Dirk Borghys and E. Truyen and Michal Shimoni and Christiaan Perneel and Dirk. Borghys},
  year={2009}
}
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

Citations

Publications citing this paper.
Showing 1-9 of 9 extracted citations

References

Publications referenced by this paper.
Showing 1-10 of 14 references

A comparative study of lin ear and nonlinear anomaly detectors for hyperspectral imagery

  • H. Goldberg, N. Nasrabadi
  • inAlgorithms and Techn. for Multi-, Hyper-, and…
  • 2007
1 Excerpt

Anomaly detection in hyperspectral image ry using statistical mixture models

  • C. J. Willis
  • Proc. 2nd EMRS DTC Technical Conference , 2005.
  • 2005
1 Excerpt

Caefer, “Segmentat io of multi-dimensional infrared imagery from histograms,”Infrared

  • J. Silverman, S. R. Rotman, C.E
  • Physics and Technology ,
  • 2004
1 Excerpt

Segmentatio of multi - dimensional infrared imagery from histograms

  • P. Verlinde D. Borghys, C. Perneel, M. Acheroy
  • Infrared Physics and Technology
  • 2004

Fast autonomous spectral endmember dete rmination in hyperspectral data

  • M. E. Winter
  • Proc. 13th Int. Conf. on Applied Geologic Remote…
  • 1999
1 Excerpt

Similar Papers

Loading similar papers…