最后展望了合成孔径雷达原始数据压缩的发展前景。
Finaly, the prospects for synthetic aperture radar raw data compression is looked forward.
本文结合真实机载合成孔径雷达原始数据，研究了合成孔径雷达原始数据压缩算法。
In this article, Some SAR raw data compression algorithms have been studied by using true airborne SAR raw data.
用现场可编程门阵列（FPGA）对合成孔径雷达（SAR）原始数据进行压缩能降低数据压缩时间，增加雷达分辨力。
Using field programmable gate array (FPGA) for synthesized aperture radar (SAR) data compression can reduce the time of data compression, so it increases the resolution of radar.
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。
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.
由于合成孔径雷达(SAR)原始数据的相关性很低，直接压缩原始数据是比较困难的。
It is difficult to directly compress synthetic aperture radar (SAR) raw data for the low relativity.
由于合成孔径雷达(SAR)原始数据的相关性很低，直接压缩原始数据是比较困难的。
It is difficult to directly compress synthetic aperture radar (SAR) raw data for the low relativity.
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