Abstract: 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.