摘要
研究了对SAR图像中车辆群目标的检测问题。采用统计检测的方法进行了理论分析,得到了3种检测算法的参数估计及检测门限的计算公式,提出了一种改进的综合目标检测算法。检测结果表明,采用常规双参数CFAR检测算法和单视标准CFAR检测算法存在较多的虚警,而采用改进的综合目标检测算法,检出目标准确,目标细节清晰,虚警很少,具有优良的检测性能。同时给出了该算法的滤波算子构造方法、参数选取方法及最佳参数。
In this paper, the detection of vehicle group targets in high-resolution SAR images has been investigated. Theoretical analysis has been carried out by statistic method and the formulae of threshold and parameter estimations of three detection algorithms are obtained. The results show that global parameter estimation is of good effect and there are more false alarms in conventional two-parameter CFAR and single look standard CFAR detection algorithms. The improved synthetically detection algorithm shows exact target detection, little false alarm and clear target details. The structure of this filter operator, parameter selection and optimal parameters are also given.
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2003年第5期604-607,629,共5页
Systems Engineering and Electronics
基金
国家重点实验室基金资助课题
关键词
合成孔径雷达
目标检测
车辆
Synthetic aperture radar
Target detection
Vehicle
