Abstract: 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.