吴雅文1,2,赵〓钢1,2,王茂枚1,2,刘〓波1,姜〓果1,2,于光远3.点云密度对水下抛石效果评价的影响[J].水电能源科学,2018,36(6):100-102
点云密度对水下抛石效果评价的影响
Impact of Point Cloud Density on Evaluation of Underwater Riprap
  
DOI:
中文关键词:  点云密度  水下抛石  效果评价  增厚值  合格率
英文关键词:point cloud density  underwater riprap  effect evaluation  thickening value  qualified rate
基金项目:中央高校基本科研业务费专项资金资助项目(2016B50814);江苏省水利科技项目(2014040,2017009)
作者单位
吴雅文1,2,赵〓钢1,2,王茂枚1,2,刘〓波1,姜〓果1,2,于光远3 1. 河海大学 水文水资源学院江苏 南京 210098 2. 江苏省水利科学研究院江苏 南京 2100173. 山东泓泽投资管理有限公司山东 泰安 271000 
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中文摘要:
      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5 m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。
英文摘要:
      In the detection process of underwater riprap, the high density point cloud data obtained from the multi beam 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 〖JP2〗because of the data being too sparse and not cause difficulty of evaluation due to the data too dense.〖JP〗
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