水库库区融合点云漏洞边界提取方法  

Method for Extracting Vulnerability Boundary of Mixed Point Clouds in Reservoir Area

作　　者：李朝辉 彭刚跃 LI Zhao-hui;PENG Gang-yue(Henan Water&Power Engineering Consulting CO.,Ltd,Zhengzhou Henan 450000,China)

机构地区：[1]河南省水利勘测设计研究有限公司,河南郑州450000

出　　处：《地矿测绘》2023年第4期42-44,48,共4页Surveying and Mapping of Geology and Mineral Resources

摘　　要：采用机载LiDAR点云与多波束测深数据合并后会出现漏洞,构建出的水库库区DEM模型不完整。为准确有效地补充融合点云中的漏洞,需首先识别出漏洞所在的位置和范围。据此,对点云的孔洞边界提取方法进行了研究,并通过实例数据对该方法进行了验证。The DEM model constructed by airborne LiDAR point clouds and multi-beam sounding data is incomplete because of the loopholes.In order to accurately and effectively supplement the vulnerabilities in the fusion point clouds,it is necessary to identify the location and scope of the vulnerabilities firstly.Accordingly,the hole boundary extraction method of point clouds was studied and verified by case data.

关 键 词：机载LIDAR 多波束数据 点云漏洞 边界提取 

分 类 号：P237[天文地球—摄影测量与遥感] TV221[天文地球—测绘科学与技术]