Urtra wide band (UWB) synthetic aperture radar (SAR) is widely used to explore the foliage concealed targets for its better penetrability. But no systemic and integrated detection algorithm is presented for UWB SAR detection. Most of research institutes follow the three stage detection flow developed by Lincoln laboratory to detect the foliage concealed targets in UWB SAR images. This current detection algorithm performs excellently when it is used to detect and recognize targets based on high frequency

high resolution and fully polarimetric SAR data. But there are many problems when it is used to detect the foliage concealed targets in UWB SAR images. The question is analyzed when the current algorithm is used to detect the targets of UWB SAR

and a new detection algorithm is presented in the paper. The new algorithm decreases the requirements of detection condition by small slip window average

low threshold constant false alarm rate (CFAR) detection and connectivity analysis. It has the good applicability and steadiness. The detection results of the current detection algorithm and the proposed new algorithm for foliage concealed targets in three UWB SAR images are given in the end of the paper

and they testify the validity of the new detection algorithm in the foliage concealed target detection of UWB SAR.