车载雷达检测图像自动识别追踪

Automatic identification and tracking of vehicle radar detection image

铁路隧道衬砌厚度是评价铁路隧道质量的一个重要指标。基于GprMax2D模拟软件并以Matlab为平台环境,建立五种隧道衬砌模型并对其追踪算法进行研究,分析追踪结果,得出位于同一隧道横截面处五种工况下的自动识别追踪方法。按照正常隧道衬砌模型特征进行追踪,根据追踪结果是否存在错位现象以及反射波的类型,判断出隧道衬砌层位的病害类型。

The thickness of the railway tunnel lining is an important standard for assessment of tunnel quality. In the paper, the air coupled ground penetrating radar is used for lining quality detection, and the software environment is based on Matlab and GprMax2D platforms. 5 tunnel lining models are established and the tracking algorithm is researched. The automatic identification and tracking method under 5 work conditions in the same cross section of the tunnel are obtained ftom the analysis of tracking results. The railway tunnel lining can be tracked according to the characteristics of normal tunnel lining model. Then, according to the result of the dislocation phenomenon and the types of reflection wave, the type of the tunnel lining layer disease can be judged.