摘要
提出了一种基于船载激光雷达点云数据河流水涯线精细化提取方法。该方法首先对点云数据进行粗格网划分,结合河流水涯线格网的密度、高程、边缘性和连续性多重约束条件,利用连通区域标记和边缘检测等组合算法,快速确定河流水涯线粗边缘;然后对粗提取结果进行细格网划分;并在此基础上提出距离约束下的单行格网局部高程最低点提取算法,实现河流水涯线精细化提取。针对上海某地区长度约为1.56 km河流的船载激光雷达实测点云数据,对提出方法的有效性进行了实验验证。实验结果表明该方法能够提取出精细可靠的河流水涯线。
A method for extracting precise river waterside line using boat-based laser scanning data is proposed in this paper. Firstly,point cloud data is coarsely grid divided,combined with density characteristics,grid elevation shoreline characteristics,marginal characteristic and continuity characteristics of bank line. Rough river edge can be quickly determined combining with connected region labeling algorithm and edge detection algorithm. Then the coarse extraction results are fine grid partitioned. And more accurate bank line is extracted by using the local lowest elevation point of single grid network algorithm with distance constraints. Finally,the validity of this method is verified by using the boat-based laser scanning data of 1.56 km river in a certain area in Shanghai. Experimental results show that fine and reliable bank line can be extracted using this method.
作者
邵磊
董广军
于英
张阿龙
何华
SHAO Lei;DONG Guangjun;YU Ying;ZHANG Along;HE Hua(Information Engineering University,Zhengzhou 450001,China;State Key Laboratory of Geographic-information Engineering,Xi＇an 710054,China)
出处
《测绘科学技术学报》
CSCD
北大核心
2018年第2期191-196,共6页
Journal of Geomatics Science and Technology
基金
国家自然科学基金项目(41501482)
地理信息工程国家重点实验室开放研究基金项目(SKLGIE 2015-M-3-6)
城市空间信息工程北京市重点实验室项目(2017203)
