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。
The experiment results show that the proposed approach can get the high quality SAR image from the UAV SAR raw data.
结合实测数据处理的结果表明该方法可得到质量较高的无人机载sar图像。
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。
Since the INS/GPS does not meet the need of imaging, Doppler parameters are obtained from SAR raw data to compensate the motion error.
由于INS/GPS数据难以满足成像精度要求，从回波数据中提取运动参数，用于运动补偿。
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。
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。
Through analyzing the image that come from the simulated data, the conclusion can be reached that the method of simulating the polarization raw data of Spaceborne SAR is right.
最后通过对模拟得到的极化原始数据的仿真再现图像分析，证实了对星载sar极化原始数据模拟的正确件。
A method of simulating distributed target's raw data of spaceborne SAR is given.
该文提出了一种星载sar分布目标原始数据模拟的方法。
I am sure the study of the distributed target's raw data simulation will have definite reference and applications value for the study of SAR system's design and imaging.
相信本文的星载sar分布目标原始数据模拟研究工作对星载sar的应用和系统研究具有一定的参考和应用价值。
A method of area target's raw data simulation of spaceborne SAR based on elliptical orbit is presented.
提出了一种基于椭圆轨道的星载sar面目标原始数据模拟的方法。
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.
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。
Real time SAR signal preprocessing occurs on the radar raw data, and have no direct relationship with the imaging algorithm.
信号的预处理发生在原始数据阶段，和具体的成像算法并没有直接的联系。
This paper discusses the point object raw signal model and the method of SAR backwave data simulation, and the results of experimentation are given.
针对这一点，本文叙述了回波数据模拟的点目标理论模型并提出了二维SAR回波数据模拟的方法，给出了模拟实验的结果。
The effect of quantification noise, saturation noise and bit error noise of synthetic aperture radar(SAR)raw data on the signal to noise ratio of distributed targets is analyzed.
定量分析了星载合成孔径雷达（SAR）原始回波信号的量化噪声、饱和噪声以及误码噪声对面目标信噪比的影响；
With the system towards the large bandwidth, high-resolution, signal processing real-time direction, SAR raw signal has a high data rate, so a higher demand is raised to real-time imaging system.
随着系统向大带宽、高分辨率、信号处理实时化的方向迈进，回波的数据率越来越高，因此对实时成像处理系统提出了更高的要求。
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。
The same raw data is experimented with this method and the existing methods. The experiments results show that this method outperforms the existing methods in raw data domain and SAR image domain.
用同一块数据进行压缩解压缩成像实验并与已有的方法进行比较，实验结果表明该文提出的方法在数据域和图像域的性能都优于已有的方法。
The theoretic foundation of it is the distribution of the raw SAR data.
它的一个很重要的理论基础是在一定的区域内原始信号近似符合高斯分布。
The theoretic foundation of it is the distribution of the raw SAR data.
它的一个很重要的理论基础是在一定的区域内原始信号近似符合高斯分布。
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