快速可变速率SAR原始数据压缩算法
A Fast Variable-Rate SAR Raw Data Compression Algorithm
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摘要: 该文在原分块自适应矢量量化(BAVQ)算法基础上，提出了一种通过改变矢量码书大小及矢量维数来获得可变的编码数据率的改进措施。为了降低改进算法的计算复杂度，采用了数据块方差的查表法及矢量量化的快速搜索算法。对SAR原始数据进行压缩的结果表明，改进算法能够在不降低量化信噪比的情况下，获得更高的编码效率。不同数据率的解压缩数据生成图像，都不同程度地保留了原始图像中的细节信息。Abstract: 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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