一种INSAR原始数据的幅相分离压缩算法

该文针对干涉合成孔径雷达(INSAR)系统的大数据量问题，提出了一种用于INSAR原始数据的幅相压缩算法。该方法利用SAR回波信号的特性以及干涉测量时对干涉数据高相关性要求的特点，对两路INSAR信号的幅度及相位做去相关性压缩。该文进行了详细的理论分析，并利用实际INSAR数据进行了压缩试验，在相关系数、条纹相似度、残余点的压缩效果等方面，与BAQ算法进行了比较。结果表明在相同压缩比下，该文给出的算法优于BAQ算法，保留了更多的信号幅度和相位信息。

An Irrelevant Amplitude-Phase Algorithm for INSAR Raw Data Compression

An irrelevant Amplitude-Phase (AP) algorithm is used in raw data compression according to the bulky raw data of Interferometric Synthetic Aperture Radar(INSAR) system. The new algorithm is based on the statistical property and the high correlation between the two channels of INSAR. Amplitude and phase of raw data are compressed irrelevantly. Detail analysis in theory is given and experiment with real data is undertaken. Comparisons are made with BAQ algorithm at aspects of correlation, fringe similarity index and residuals. The results show that AP algorithm is superior to BAQ algorithm at the same reduction ratio. Thereby AP algorithm preserves more information of amplitude and phase.