Comparison of Compression Methods for SAR Imagery : Preliminary Investigation
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.
KeywordsCompression Ratio Discrete Cosine Transform Discrete Wavelet Transform Wavelet Coefficient Synthetic Aperture Radar
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- 1.G.K. Wallace. The JPEG Still Picture Compression Standard, IEEE Transactions on Consumer Electronics, Vol. 38, No. 1, February 1992.Google Scholar
- 2.A. Jacquin. A Fractal Theory of Iterated Markov Operators with Applications to Digital Image Coding, PhD thesis, Georgia Institute of Technology, August 1989.Google Scholar
- 3.Y. Fisher, ed. Fractal Image Compression — Theory and Application, Springer Verlag, 1995.Google Scholar
- 4.W.H. Press, S.A. Teukolsky, W.T. Vettering and B.P. Flannery, Numerical Recipes in C, 2nd edition, Cambridge University Press, 1995.Google Scholar
- 5.R.D. Dony. Adaptive Transform Coding of Images Using a Mixture of Principal Components, PhD thesis, McMaster University, Hamilton, Ontario, Canada, 1995.Google Scholar