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Volume 28 Issue 2
Aug.  2010
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Qin Lei, Wang Yan-fei, Hu Xiao-xin. A Fast Variable-Rate SAR Raw Data Compression Algorithm[J]. Journal of Electronics & Information Technology, 2006, 28(2): 358-361.
Citation: Qin Lei, Wang Yan-fei, Hu Xiao-xin. A Fast Variable-Rate SAR Raw Data Compression Algorithm[J]. Journal of Electronics & Information Technology, 2006, 28(2): 358-361.

A Fast Variable-Rate SAR Raw Data Compression Algorithm

  • Received Date: 2004-06-23
  • Rev Recd Date: 2004-11-09
  • Publish Date: 2006-02-19
  • In this paper, based on the theory of the Block Adaptive Vector Quantization (BAVQ) algorithm, a variable-rate algorithm is proposed. In order to reduce the encoding computation complexity of the improved BAVQ algorithm, a fast VQ search algorithm and a look-up table to found quantizer control (threshold) are used. Using this improved algorithm to compress SAR raw data, a higher encoding efficiency is achieved and the SNR does not decrease in evidence. The decompressed images reserve most of details on the images resulted from raw data.
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  • Moreira A, Blaeser F. Fusion of block adaptive and vector quantization for efficient SAR data compression. Proc. IGARSS, Tokyo, 1993: 1583.1585.[2]Kwok R, Johnson W T K. Block adaptive quantization of Magellan SAR data[J].IEEE Trans. on Geoscience and Remote Sensing.1989, 27(4):375-[3]Cheng R Y, et al.. Fast search algorithms for vector quantization and pattern matching. Proc. ICASSP, California, 1984: 9111.9114.[4]李伟, 林韵, 胡征. 矢量量化的一种最佳快速搜索算法. 第三届全国信号处理学术会议论文集, 1988: 815817.
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