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Volume 32 Issue 9
Oct.  2010
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Chou Xiao-Lan, Lei Bin, Ge Yun-Ping, Hu Dong-Hui, Ding Chi-Biao. Performance Evaluation of Two Compression Methods for SAR Raw Data[J]. Journal of Electronics & Information Technology, 2010, 32(9): 2268-2272. doi: 10.3724/SP.J.1146.2009.01101
Citation: Chou Xiao-Lan, Lei Bin, Ge Yun-Ping, Hu Dong-Hui, Ding Chi-Biao. Performance Evaluation of Two Compression Methods for SAR Raw Data[J]. Journal of Electronics & Information Technology, 2010, 32(9): 2268-2272. doi: 10.3724/SP.J.1146.2009.01101

Performance Evaluation of Two Compression Methods for SAR Raw Data

doi: 10.3724/SP.J.1146.2009.01101
  • Received Date: 2009-08-17
  • Rev Recd Date: 2009-12-21
  • Publish Date: 2010-09-19
  • Raw data compression is an important step for high resolution SAR systems. This paper bases on two data compression methods, the 4 bit quantization and the 8 to 3 bit Block Adaptive Quantization (BAQ), which are widely used in spaceborne SAR, the evaluations are made on the Signal-to-Noise Ratio (SNR), the fidelity of the amplitude, and the vision effects of the images under different quantization input power. From the evaluations, the reasonable power regions of the quantization input for 4 bit and 8:3 bit BAQ are provided, which are 26.1 dB~34.9 dB and 23.5 dB~36.5 dB, respectively. This offers a good reference to the Manual Gain Control (MGC) value for the SAR mission.
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