部分飽和SAR原始數(shù)據(jù)壓縮
Compression on Fractional Saturation SAR RAW Data
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摘要: 分塊自適應(yīng)量化(BAQ)算法在實(shí)際應(yīng)用中碰到的問題是SAR原始數(shù)據(jù)含有較多飽和成分的量化。文中分析了BAQ對這類數(shù)據(jù)產(chǎn)生較大誤差的原因。根據(jù)數(shù)據(jù)的特點(diǎn),提出了一種對傳統(tǒng)BAQ進(jìn)行改良的壓縮算法部分飽和BAQ(FSBAQ).實(shí)驗(yàn)表明,這種方法在不改變壓縮比的情況下,對存在一定飽和的數(shù)據(jù)都能提高4.5dB以上的量化信噪比.文中給出了一條選擇量化形式的曲線。并給出用傳統(tǒng)BAQ算法及該文給出的算法對一塊SAR原始數(shù)據(jù)進(jìn)行量化和結(jié)果對比。Abstract: A quantizaiton method is presented to aim at the fractional saturation Synthetic Aperture Radar (SAR) raw data. Norm distribution is the basis of Block Adaptive Quantization (BAQ) algorithm. But in the application of BAQ, some trouble may encounter, one of these is fractional saturation of raw data. A compression algorithm based on the traditional BAQ algorithm is presented, which can select different ways to quantify the raw data. This algorithm reduces the error and increases the Signal to Quantization Noise Ratio (SQNR) without influence the compression ratio. Finally, a block of real SAR raw data are processed by the two algorithms and the result is compared with each other.
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Kwok R, Johnson W. Block adaptive quantization of Magellan SAR data[J].IEEE Trans. on Geosci. and Remote Sensing.1989, 27(4):375-383[2]Curlander J C.[J].Mcdonough R N. Synthetic Aperture Radar Systems and Signal Processing.NewYork, John Willey Sons, Inc.1991,:-[3]劉永坦等.雷達(dá)成像技術(shù).哈爾濱:哈爾濱工業(yè)大學(xué)出版社,1999:206-213. -
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