STUDY OF SLOPE DEFORMATION MONITORING TECHNOLOGY OF
PRECISE COMPARISON ALGORITHM BASED ON LASER POINT CLOUD
LIUChangjun1,LIU Huiling2,ZHANG Shunfu1
(1. China Institute of Water Resources and Hydropower Research,Beijing 100038,China;2. The College of Forestry,
Beijing Forestry University,Beijing 100083,China)
Abstract:Comparison of point cloud data in different stages is a problem to be solved in slope deformation monitoring by 3D terrestrial laser scanning technology. Through the improvement of Hausdorff distance algorithm,direct precise comparison algorithm based on octree structure is presented. By this means,automatic comparison of multiple point cloud data in deformation region is achieved,reducing manual intervention and improving the efficiency of point cloud data processing. 3D visual laser point cloud data processing and analysis software LPCP is developed on the basis of block management/storage method by octree structure and the theory mentioned above. Application in the deformation monitoring and analysis of Yanjiagou landslide shows that,the caculated deformation region and displacement by this method is accurate in verified with the fixed point monitoring data,DEM analysis results and laser point cloud data of typical section. Moreover,the algorithm is efficient. The method can be extended to a variety of precise deformation analysis,broadening the application area in deformation monitoring greatly for laser scanning technology.
刘昌军1,刘会玲2,张顺福1. 基于激光点云直接比较算法的边坡变形监测技术研究[J]. 岩石力学与工程学报, 2015, 34(s1): 3281-3288.
LIUChangjun1,LIU Huiling2,ZHANG Shunfu1. STUDY OF SLOPE DEFORMATION MONITORING TECHNOLOGY OF
PRECISE COMPARISON ALGORITHM BASED ON LASER POINT CLOUD. , 2015, 34(s1): 3281-3288.
ARAV R,FILIN S. Detection and quantification of morphological changes using multi-resolution terrestrial laser scans[J]. ISPRS Annals of Photogrammetry,Remote Sensing and Spatial Information Sciences,2012,(1):197-202.
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