CFAR robust detection of moving target in presence of fluctuating background

@article{Golikov2008CFARRD,
  title={CFAR robust detection of moving target in presence of fluctuating background},
  author={V E Golikov and A. Humberto Castillejos and O. B. Lebedeva and V. I. Ponomaryov and M. Cruz-Irisson},
  journal={2008 12th International Conference on Mathematical Methods in Electromagnetic Theory},
  year={2008},
  pages={144-146}
}
The paper describes the techniques for the autonomous detection of moving targets by processing a sequence of sensor imageries in remote sensing applications. Two detection algorithms, which do not need a matrix inversion, are developed by extension of Hotellingpsilas principal-component method showing excellent performance and robustness. The detection of small, barely discernible, moving objects in presence of correlated fluctuating background and unknown background intensity are presented… CONTINUE READING

From This Paper

Figures, tables, and topics from this paper.
1 Citations
12 References
Similar Papers

References

Publications referenced by this paper.
Showing 1-10 of 12 references

Detection of determinate Signals with a Fixed Alarm Probability in the Case of Autoregression Model of Interference with Unknown Parameters,

  • V. S. Golikov, O. M. Lebedeva
  • Radioelectronics and Communications Systems,
  • 2007

Sgow, “Detection Algorithms for Hyperspectral Image Applications

  • G. D. Manolakis
  • IEEE Signal Processing Magazine,
  • 2002

Validation of Windblown Radar Ground Clutter Spectral Shape

  • M. Greco, F. Gini, A. Farina, J. Billingsley
  • IEEE Trans. Aerosp. Electron. Syst.,vol
  • 2001

Similar Papers

Loading similar papers…