地面激光点云与航空影像相结合的滑坡监测

面向云南某水电站滑坡监测的实际需求，提出了将地面激光点云数据和航空影像相结合的滑坡监测方法。首先，通过数据配准，实现地面激光点云数据和航空影像数据的融合统一；然后，通过数据去噪与地表模型重建建立监测的数据基准；最后，通过基于地表模型的整体变形分析和基于剖面的采样分析，对滑坡区域的变形规律进行研究。通过对已经获取的5期监测数据的分析表明，本文提出的监测方法具有较高的监测精度和很好的适用性。

Landslide monitoring by merging ground laser point cloud and aerial image

Aiming at the actual needs of landslide monitoring for a hydroelectric power station in Yunnan, this paper proposes a landslide monitoring method that merges ground laser point cloud data and aerial imagery. Firstly, data registration is used to realize the fusion and integration of ground laser point cloud and aerial image. Then, through data noise removing and surface model reconstruction, the monitoring data benchmark is established. Finally, the deformation law of the landslide area is studied by the overall deformation analysis based on the surface model and the sampling analysis based on the profile. Based on the five monitoring data that have been obtained, it shows that the monitoring method proposed in this paper has high monitoring accuracy and good applicability.