基于2D实值离散Gabor变换的SAR原始数据压缩

SAR Raw Data Compression Based on 2D Real-Valued Discrete Gabor Transform

该文采用时频分析的方法,结合合成孔径雷达(SAR)原始数据的线性调频特性,提出了一种基于2D实值离散Gabor变换的SAR原始数据压缩方法。该方法对I,Q两路原始数据进行分块,先对每一块进行二维实值离散Gabor变换(2D-RDGT),在时频平面内对各频率平面根据方差进行比特分配,然后采用BAQ量化各频率平面。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。

This paper proposes a compression method for Synthetic Aperture Radar （SAR） raw data, which is based on time-frequency analysis theory and the linear frequency modulation properties of the SAR raw data. In this method, the raw data of I and Q channels is divided into blocks at first, then each block is transformed into time-frequency domain by 2D-RDGT （Two-Dimensional Real valued Discrete Gabor Transform） and the desired bits are allocated to each frequency plane, finally each frequency plane is quantized with BAQ（Block Adaptive Quantization）.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.