【摘要】 水下抛石检测过程中常将多波束测深系统扫测所得的高密度点云水深数据进行一定尺度的抽稀处理,但不同抽稀方式对原始点云密度的影响,直接决定了抽稀处理后的水深数据能否如实反映实际抛投效果。因此,为探讨不同点云密度对水下抛石效果评价的影响,对抛石工程施工前后两期不同密度的点云数据进行叠加分析,计算区域内抛石合格率,并对增厚值的统计特征进行了对比分析。结果表明,点云密度对水下抛石效果评价影响显著,且点云密度为5m时为最佳,既不会因数据过于稀疏导致评价失真,也不会因数据过于密集导致评价困难。更多还原

【Abstract】 In the detection process of underwater riprap,the high density point cloud data obtained from the multibeam sounding system are often measured in the multi-scale.However,the influence of different sparse ways on the density of the original point cloud data directly determines whether the water depth data after the sparse treatment can reflect the actual throwing effect.Therefore,in order to explore the impact of different point cloud density on evaluation of underwater riprap,the point cloud data with different densities in two conditions which were before and after the construction of riprap project were analyzed.The qualification rate of revetment in the area was calculated,and the statistical characteristics of increased depth were comparative analysis.The results show that the point cloud density has significant impact on the evaluation of underwater riprap.When the interval is set to 5 m,it is the best point cloud density,which will not cause distortion because of the data being too sparse and not cause difficulty of evaluation due to the data too dense.更多还原