快速可變速率SAR原始數(shù)據(jù)壓縮算法
A Fast Variable-Rate SAR Raw Data Compression Algorithm
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摘要: 該文在原分塊自適應(yīng)矢量量化(BAVQ)算法基礎(chǔ)上，提出了一種通過改變矢量碼書大小及矢量維數(shù)來獲得可變的編碼數(shù)據(jù)率的改進(jìn)措施。為了降低改進(jìn)算法的計算復(fù)雜度，采用了數(shù)據(jù)塊方差的查表法及矢量量化的快速搜索算法。對SAR原始數(shù)據(jù)進(jìn)行壓縮的結(jié)果表明，改進(jìn)算法能夠在不降低量化信噪比的情況下，獲得更高的編碼效率。不同數(shù)據(jù)率的解壓縮數(shù)據(jù)生成圖像，都不同程度地保留了原始圖像中的細(xì)節(jié)信息。
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關(guān)鍵詞:
- SAR原始數(shù)據(jù)壓縮;查表法;快速搜索算法;可變速率壓縮
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. -
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]李偉, 林韻, 胡征. 矢量量化的一種最佳快速搜索算法. 第三屆全國信號處理學(xué)術(shù)會議論文集, 1988: 815817. -
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