Pan Zhi-gang, Wang Yan-fei. A Compression Algorithm for SAR Raw Data Based on the Combination of Discrete Cosine Transform and Block-Adaptive Quantization[J]. Journal of Electronics & Information Technology, 2007, 29(8): 1784-1788. doi: 10.3724/SP.J.1146.2005.01689
Citation:
Pan Zhi-gang, Wang Yan-fei. A Compression Algorithm for SAR Raw Data Based on the Combination of Discrete Cosine Transform and Block-Adaptive Quantization[J]. Journal of Electronics & Information Technology, 2007, 29(8): 1784-1788. doi: 10.3724/SP.J.1146.2005.01689
Pan Zhi-gang, Wang Yan-fei. A Compression Algorithm for SAR Raw Data Based on the Combination of Discrete Cosine Transform and Block-Adaptive Quantization[J]. Journal of Electronics & Information Technology, 2007, 29(8): 1784-1788. doi: 10.3724/SP.J.1146.2005.01689
Citation:
Pan Zhi-gang, Wang Yan-fei. A Compression Algorithm for SAR Raw Data Based on the Combination of Discrete Cosine Transform and Block-Adaptive Quantization[J]. Journal of Electronics & Information Technology, 2007, 29(8): 1784-1788. doi: 10.3724/SP.J.1146.2005.01689
In this paper, an algorithm for compressing synthetic aperture radar raw data is proposed. This algorithm is based on the combination of discrete cosine transform and block-adaptive quantization. The known results that a block normalized SAR raw signal is a Gaussian stationary process are exploited in order to re-array the DCT coefficients. Coupled with a proper bit allocation strategy and block-adaptive quantization on re-arrayed coefficients matrix, this algorithm exhibits notably an interesting performance/complexity trade-off with respect to conventional methods such as BAQ. Simulation results on real-world SAR raw data also show that the proposed algorithm outperforms methods based on wavelets as to SNR and PSNR.
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