The Application of 3D Laser Scanning Technology in Land Surface Subsidence Monitoring
摘要
Due to certain human and natural factors, land surface subsidence and collapse phenomena have emerged endlessly, and the demand for periodic monitoring of the land surface is becoming increasingly urgent. This article focuses on the needs and characteristics of land surface subsidence monitoring, and uses three-dimensional (3D) laser scanning technology to obtain point cloud data of different periods on the land surface of a certain area. The M3C2 (Multi scale Model to Model Cloud Comparison) algorithm is used to compare and detect point cloud data to extract land surface subsidence data, and the precision of this method is evaluated. Experiments show that the measurement precision of this method is within 4 mm, which provides a useful reference for the application of 3D laser scanning technology in deformation monitoring.