Comparison of Compression Methods for SAR Imagery : Preliminary Investigation

  • A. Drosopoulos
  • A. Damini

Abstract

The radar surveillance group at DREO is actively involved in developing and fielding an airborne Synthetic Aperture Radar (SAR) system referred to as Spotlight SAR. Recently, the technical requirements for adding a datalink to the Compact SAR (CSAR) signal processing subsystem of Spotlight SAR have been examined. In order to efficiently utilize the available limited bandwidth of a commercially available link, some form of image compression is necessary. This paper presents preliminary results of applying state-of-the-art image compression techniques, such as fractals, wavelets and neural nets, to typical SAR imagery, generated by the CSAR signal processor.

Keywords

Compression Ratio Discrete Cosine Transform Discrete Wavelet Transform Wavelet Coefficient Synthetic Aperture Radar 
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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Copyright information

© Springer Science+Business Media New York 1997

Authors and Affiliations

  • A. Drosopoulos
    • 1
  • A. Damini
    • 1
  1. 1.Aerospace Radar and NavigationDefence Research Establishment OttawaOttawaCanada

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