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| A Compression Algorithm for SAR Raw Data Based on the Combination of Discrete Cosine Transform and Block-Adaptive Quantization |
| Pan Zhi-gang①②; Wang Yan-fei① |
| ①Institute of Electronics, Chinese Academy of Sciences, Beijing 100080, China; ②Graduate School of Chinese Academy of Sciences, Beijing 100039, China |
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Abstract 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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Received: 28 December 2005
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2007, Vol. 29 
