UWBSAR图像中的目标检测通常指二面角目标检测 ,点目标检测由于没有发现军用车辆等人造目标这一直接效益而受到较少关注。为满足一些UWBSAR图像中检测点目标的需求 (如图像融合时的配准 ,通过路灯和树木进行道路检测和为了抑制树干杂波而识别树干杂波等 )而研究了其中的点目标检测问题。通过综合运用方向依赖滤波、隐马尔可夫模型和恒虚警率检测技术 ,设计了一种用于机载UWBSAR图像中的点目标检测算法

Normally, target detection in UWB SAR imagery refers to dihedral target detection, and point target detection has not been studied because man-made targets such as military vehicles are modeled as dihedral targets. For some particular applications (e.g. registration in image fusion, detection road via street lamps or trees, trunk clutter suppression via trunk recognition and etc), point target detection in UWB SAR image is needed and studied in this paper. Comprehensively using an aspect dependent filter, HMM and CFAR processing, a point target detection method for airborne UWB SAR is suggested in this paper. The experiment results show that the method is effective.

TN957

“十五”国防预研基金资助