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Synthetic aperture radar raw data compression using wavelet packet transform and trellis coded quantization

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3 Author(s)
Tammana, G.A. ; Dept. of Electr. & Comput. Eng., Ohio State Univ., Columbus, OH, USA ; Zheng, Y.F. ; Ewing, R.L.

Performing some form of compression on synthetic aperture radar (SAR) data is necessary and important to curtail the downlink capacity and on-board storage requirements of a SAR system. In this paper, we present a transform coding approach for compression of SAR raw data using wavelet packet transform. Trellis coded quantization (TCQ) techniques are used to quantize the transform coefficients. A variation of TCQ implementation using a significance test is investigated. Simulation results on real SAR raw data show the improved performance of the proposed algorithm over standard block adaptive quantization (BAQ) technique.

Published in:
Circuits and Systems, 2005. 48th Midwest Symposium on

Date of Conference: 7-10 Aug. 2005

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