基于SAR回波仿真的BAQ压缩性能研究

Study on BAQ Compression Performance Based on SAR Echo Simulation

分析了合成孔径雷达(Synthetic Aperture Radar,SAR)回波的统计特性,引入了基于SAR分布目标回波仿真的方法,研究了分块自适应量化(Block Adoptive Quantization,BAQ)压缩对SAR回波信号特性的影响。然后介绍了BAQ算法原理,以SAR回波的量化噪声因子、相关系数和SAR图像的辐射分辨率为评估指标。利用郊区和城市两幅机载SAR图像进行试验,分析了不同压缩比对两块地形目标的影响效果,试验表明,在保证成像质量的前提下,郊区地形可以采用比城市地区更高的压缩比。

The SAR echo statistics was analyzed,the simulation design that SAR distributed target echo simulation was used to study on the effect of BAQ compression on echo was introduced. BAQ algorithm was analyzed,the SAR echo QNF（ quantization noise factor）, SAR echo correlation coefficient and SAR image radiation resolution were selected to evaluate the performance of BAQ in different terrain. Two airborne SAR images of suburb and city were used to do experiment,the effect of different compression ratio in different terrain was analyzed, the results showed that the higher compression ratio should be apply to suburb terrain than urban district