A New Clutter Model for SAR Images

  • V. Anastassopoulos
  • G. A. Lampropoulos
  • M. Rey

Abstract

A new generalized compound pdf (GC-pdf) is proposed to model the amplitude statistics of SAR images. This model is introduced because the K-pdf which has been used in the past1 for this purpose, occasionally fails to do so. Such cases are met when the speckle of the clutter deviates from Rayleigh pdf due to the small area of the resolution cell. The speckle and the modulation components of the new compound pelf are described using the generalized gamma pdf (GT-pdf). A thermal noise component is incorporated in the statistical model. Although it is not possible to have a closed form expression for the model itself, its moments can be obtained in relatively simple expressions and consequently be used for clutter characterization. Using the equivalence of theoretical and experimental moments, real data show very good agreement with the proposed model. The K-pdf is proved to be a special case of the GC-pdf.

Keywords

Closed Form Expression Thermal Noise Modulation Component Speckle Reduction Experimental Moment 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    L.M. Novak and M.C. Burl, “Optimal Speckle Reduction in Polarimetric SAR Imagery”, IEEE Trans, on Aerospace and Electronic Systems, Vol. AES-26, No. 2, pp. 293–305, March 1990.CrossRefGoogle Scholar
  2. 2.
    S. Watts, “Radar Detection Prediction in K-Distributed Sea Clutter and Thermal Noise”, IEEE Trans, on Aerospace and Electronic Systems, Vol. AES-23, No. 1, pp. 40–45, January 1987.Google Scholar

Copyright information

© Springer Science+Business Media New York 1995

Authors and Affiliations

  • V. Anastassopoulos
    • 1
  • G. A. Lampropoulos
    • 1
  • M. Rey
    • 2
  1. 1.TRDLA.U.G. Signals Ltd.TorontoCanada
  2. 2.Defence Research Establishment OttawaOttawaCanada

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