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。
In this article, Some SAR raw data compression algorithms have been studied by using true airborne SAR raw data.
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。
We introduce the SAR raw data compression coding application with the improved code book and get well experiment effect.
文中还介绍了利用改进的码书对SAR原始数据进行量化编码的应用，得到了较好的效果，并给出了实验结果。
This paper presents a new SAR raw data compression algorithm named Normalized Adaptive Predictive Vector Quantization (NAPVQ).
该文提出归一化自适应预测矢量量化(NAPVQ)算法压缩sar原始数据。
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。
Using this WT algorithm to compress high resolution SAR raw data, under the large compression ratio, the decompressed images can reserve important details on the images resulted from raw data.
实际SAR原始数据的压缩结果表明，解压缩数据成像依然清晰，并且能在一定程度上保留图像中的细节信息。
The advantages of wavelet transform constructed with lifting scheme are introduced and compression algorithm based on lifting wavelet for SAR raw data is proposed.
该文介绍了提升方法构造小波变换的优点，结合SAR原始数据的特点，提出了基于提升小波变换的SAR 原始数据压缩算法。
The advantages of wavelet transform constructed with lifting scheme are introduced and compression algorithm based on lifting wavelet for SAR raw data is proposed.
该文介绍了提升方法构造小波变换的优点，结合SAR原始数据的特点，提出了基于提升小波变换的SAR 原始数据压缩算法。
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