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从路用探地雷达资料中提取路面各层的目标信号特征是路面检测的关键要素。但雷达接收信号往往受干扰因素影响,严重模糊目标信号特征。该文提出了先应用小波多尺度去噪方法进行降噪处理,然后采用反褶积和局部异常识别相结合的方法增强雷达目标信号。该方法在实际道路现场检测中的应用结果表明:处理后的雷达剖面分辨率和可异值分解性得到提高,目标信号特征明显加强。
The key feature of pavement detection is to extract the target signal characteristics of pavement layers from the ground penetrating radar data. However, the radar receive signals are often affected by interference factors, which seriously obscure the characteristics of the target signal. In this paper, the wavelet denoising method based on wavelet multiscale denoising method is firstly applied to enhance the radar target signal by deconvolution and local anomaly recognition. The application of the method in the actual road site inspection shows that the resolution and diversity of the processed radar profile are improved and the characteristics of the target signal are obviously enhanced.