This paper is aimed at study on the SAR raw data compression algorithm.

本文的工作就是对SAR原始数据高倍数压缩算法进行研究。

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Block Adaptive Quantization (BAQ) is the most efficient algorithm for Synthetic Aperture Radar (SAR) raw data compression. In this paper, the theory on this algorithm is introduced.

分块自适应量化(BAQ)算法是目前最适于工程实现的合成孔径雷达(SAR)原始数据压缩算法。

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Based on the characteristic of GM (1, 1) model, this paper presents a new modelling method for the model through adding a datum to the beginning of raw data sequence.

根据GM(1,1)模型的特点，通过在原始数据序列前加一个数的方式，提出了建立GM(1,1)模型的一种新方法。

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