A Target Detection Algorithm of UWB SAR Based on Connectivity Analysis
一种基于连通分析的UWB SAR目标检测算法

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.