The Double-peak Characteristic Enhancement Algorithm for Metallic Landmine Detection with UWB SAR
超宽带合成孔径雷达金属地雷双峰特征增强算法

The major problem in air-borne Ultra-WideBand Synthetic Aperture Radar (UWB SAR) landmine detection is the too many false alarms in practical operation, while enhancement of metallic landmine double-peak feature will benefit elimination of false alarms efficiently. In this paper, based on the double-peak salience maximum criterion, the double-peak feature enhancement algorithm using the post-filter in image domain and the post-filter parameter optimization method are proposed. It is proved with field data processing results that the proposed double-peak enhancement algorithm can increase the double-peak salience of metallic landmines among those suspected targets and thus improve the final metallic landmine detection performance.