一种基于最小熵准则的SAR图像自聚焦算法  

A Novel Autofocus Algorithm Based on Minimum Entropy Criteria for SAR Images

作　　者：武昕伟[1] 朱兆达[1] 

机构地区：[1]南京航空航天大学信息科学与技术学院,江苏南京210016

出　　处：《系统工程与电子技术》2003年第7期867-869,共3页Systems Engineering and Electronics

基　　金：航空科学基金资助课题 ( 0 0F5 2 0 5 7)

摘　　要：研究了一种新颖的SAR图像自聚焦算法。该方法从复图像域出发 ,利用最小熵准则盲解卷积原理 ,通过多维搜索完成相位误差校正。同相位梯度自聚焦算法相比 ,最小熵算法无需在图像域分离出强点目标 ,因而特别适用于无任何明显特征的图像。A novel autofocus algorithm for synthetic aperture radar (SAR) images is presented in this paper. Based on blind deconvolution using minimum entropy criteria, the method, which starts right with complex phase degraded SAR images, carries out phase errors correction via multidimensional search. Compared with the PGA autofocus algorithm, the minimum entropy algorithm needs not isolate prominent point target in image domain and is especially suitable for the images without specific characteristic. The simulation and the processing results of the measured date show the validity of the proposed method.\;

关 键 词：合成孔径雷达 自聚焦 相位误差 熵 相位梯度自聚焦 

分 类 号：TN957[电子电信—信号与信息处理]