场道钢筋加固区的探地雷达信息处理算法及系统研究

机场场道内钢筋的强反射回波会严重影响探地雷达的监测。本文提出了一种适用于机场场道钢筋加固区的探地雷达信息处理算法及流程并研制了探地雷达信息处理系统,实现了数据预处理、地下结构反演、目标检测与识别、脱空层厚度估计、目标成像、数据批处理及综合数据显示等模块。文中重点介绍了钢筋干扰下的灾害目标检测、识别与成像算法,利用Hyp-curvelet变换及WRELAX时延估计搜索局部峰值进行目标检测及钢筋抑制,结合Wigner时频分析及最小距离分类器进行目标识别,通过频域波数域的波场逆推进行目标成像,适用于钢筋加固区内道面下多层媒质的情况。仿真实例证明了本文方法及信息处理系统的有效性。

Research of Ground Penetrating Radar Information Processing Algorithm and System for Rebar-reinforced Zone in Runways

The strong echoes of rebar could seriously affect the monitoring of Ground Penetrating Radar(GPR). The paper proposed a new processing algorithm for rebar-reinforced zone in runways, and developed an information processing system for GPR. The system included data preprocessing, underground structure inversion, target detection and recognition, void layer thickness estimation, target imaging, data batch processing and data display. The algorithm of disaster target detection, recognition and imaging with the interference of rebars was mainly introduced. Firstly, the Hyp-curvelet transform and WRELAX were used to search the peak value for target detection and rebar echo suppression. Then, Wigner time-frequency analysis and minimum distance classifier were combined for target recognition. Lastly, the wave field inversion both in frequency domain and wavenumber domain was used to target imaging. The algorithm is suitable for multi-layer media under the pavement in rebar-reinforced zone. The simulation results demonstrate the validity of the method proposed in this paper.