【摘要】 为了选用快速高效的自动聚焦算法对机载 SAR数据进行聚焦处理 ,针对两种自聚焦算法对比度最优法 (Contrast Optimization,简称 CO)与子孔径相关法 (Map Drift,简称 MD) ,利用中科院电子所机载 L波段合成孔径雷达 (SAR)的实际数据和仿真的点目标对这两种算法进行了对比实验研究 .给出了分别用两种算法处理的点目标冲激响应和实际 SAR图像 .通过对比分析 ,表明 CO算法比 MD算法计算速度快、估计效果较好更多还原

【Abstract】 In order to optimize an effective autofocus algorithm for processing of airborne SAR images, contrast Optimization(CO) and Map Drift(MD) are studied by applying two autofocusing algorithms to real airborne SAR data of Institute of Electronics and simulated point targets. We present the point target impulse response and actual SAR image processing with CO and MD. The comparison results show that Contrast Optimization is superior to Map Drift for faster calculation and better evaluation.更多还原