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Road Surface Roughness Estimation Using Polarimetric SAR Data

机译:利用极化SAR数据估算路面粗糙度

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The road surface roughness directly influences the grip and skid resistance of the vehicles. Since these parameters are relevant for the safety of the road users, they have to be continuously monitored to keep track of its changes. The potential of airborne polarimetric SAR to remotely monitor the road surface roughness is investigated in this study using fully polarimetric X-band data acquired with DLR’s airborne radar sensor F-SAR. The polarimetric analysis revealed that the anisotropy and coherency matrix (T3) elements are sensitive to the road surface roughness. Additionally SAR backscatter based empirical models for surface roughness estimation were investigated.
机译:路面粗糙度直接影响车辆的抓地力和防滑性。由于这些参数与道路使用者的安全有关,因此必须对其进行连续监控以跟踪其变化。这项研究使用DLR机载雷达传感器F-SAR采集的全极化X波段数据,研究了机载极化SAR远程监测路面粗糙度的潜力。极化分析表明,各向异性和相干矩阵(T3)元素对路面粗糙度敏感。此外,还研究了基于SAR反向散射的表面粗糙度估计经验模型。

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