This study assesses the use of terrestrial laser scanning (TLS) based automatic point cloud registration to determine the displacement field caused by underground mining. The displacement field was determined using the moving registration window technique. The study area was covered with single-family and farm buildings. The analyzes included the determination of the optimal settings of the registration algorithms and the parameters of the proposed method in terms of the accuracy of the results and the computation time. A two-step procedure for removing outliers in the displacement field was also proposed. The conducted research allowed the relationship between the values of outlier removal parameters and the density and the accuracy of the displacement field to be found. The evaluation of the final accuracy of the filtered displacement field was performed on the basis of both the displacements determined manually using the TLS-based point clouds and the displacements derived from an independent reference method.

这项研究评估了基于地面激光扫描（TLS）的自动点云配准的使用，以确定由地下采矿引起的位移场。使用移动配准窗口技术确定位移场。研究区域覆盖着单户住宅和农舍。分析包括根据结果的准确性和计算时间来确定配准算法的最佳设置和所提出方法的参数。还提出了用于消除位移场中离群值的两步过程。进行的研究允许发现异常值去除参数的值与密度和位移场的精度之间的关系。