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A Compression Algorithm for SAR Data after Range Focusing

机译:范围聚焦后SAR数据的压缩算法

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摘要

It is difficult to directly compress the raw data of synthetic aperture radar for its low relativity. In this paper, a new algorithm is put forward. Firstly range focusing is imposed to SAR raw data, which makes it have comparative high relativity, secondly a linear prediction is performed along the azimuth, lastly block adaptive quantization is used to the prediction difference series. The experiments manifest that with same bit rate, SQNR and SDNR of the algorithm proposed in this paper surpass that of BAQ algorithm. The calculation in this paper is far less than that of compression method after range focusing advised in corresponding reference.
机译:难以直接压缩合成孔径雷达的原始数据,以实现其低相对性。在本文中,提出了一种新的算法。首先,范围聚焦对SAR原始数据施加,这使得它具有比较高相对性,其次是沿方位角执行线性预测,最后块自适应量化用于预测差异系列。实验表明,本文提出的算法的相同比特率,SQNR和SDNR超越了BAQ算法的算法。在相应的参考文献中建议的范围聚焦后,本文的计算远小于压缩方法。

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