一種有效的合成孔徑雷達原始數(shù)據(jù)高倍數(shù)壓縮算法
An Efficient High Compression Ratio Algorithm for SAR Raw Data
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摘要: 在分析分塊自適應(yīng)量化(BAQ)壓縮數(shù)據(jù)的分布特性、量化信噪比、動態(tài)范圍及其對矢量量化數(shù)據(jù)壓縮性能和運算量影響的基礎(chǔ)上,對分塊自適應(yīng)矢量量化(BAVQ)壓縮算法進行了改進,提出了采用高比特數(shù)BAQ壓縮的方案.利用改進的BAVQ算法壓縮高分辨率SAR原始數(shù)據(jù)的結(jié)果表明,在相同壓縮比的條件下,該文提出的改進算法可獲得更大的量化信噪比.解壓縮數(shù)據(jù)生成的圖像可以清晰地保留圖像中的細(xì)節(jié)信息.
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關(guān)鍵詞:
- 原始數(shù)據(jù)壓縮; 分塊自適應(yīng)矢量量化; 高倍數(shù)壓縮
Abstract: In this paper, the factors that affect the Block Adaptive Vector Quantization （BAVQ） compression performance are analyzed, which are the Signal to compression Noise Ratio （SNR） of Block Adaptive Quantization （BAQ）, the encoding algorithm computation complexity, the statistics and dynamic range of BAQ compressed data. Based on these factors, the paper proposes an improved BAVQ algorithm to compress Synthetic Aperture Radar （SAR） raw data. In the improved algorithm, the traditional block adaptive quantizer is replaced by more bits one. Using this improved BAVQ algorithm to compress high resolution SAR raw data, larger SNR values than the previous compression algorithms under the same compression ratio are obtained. The decompressed images reserve most of details on the images resulted from raw data. -
Moreira A, Blaser F. Fusion of block adaptive and vector quantizer for efficient SAR data compression. IGARSS, 1993:1583 - 1585.[2]Lebedeff D, Mathieu P, Barlaud M, Lambert-Nebout C,Bellemain P. Adaptive vector quantization for raw SAR data.IGARSS, 1995:2511 - 2514.[3]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-[4]Linde Y, Buzo A, Gray R M. An algorithm for vector quantizer design[J].IEEE Trans. on Communications.1980, 28(1):84-[5]王巖飛,朱敏慧.合成孔徑雷達原始數(shù)據(jù)非線性量化壓縮頻譜分析[J].電子與信息學(xué)報.2001,23(12):1264-1270瀏覽 -
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