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基于机载激光雷达点云数据的河网提取方法研究

作  者:
王翠平;王豪伟;刘明;董仁才
单  位:
中国科学院城市环境研究所中国科学院城市环境与健康重点实验室
关键词:
机载激光雷达;点云数据;河网提取;数字流域
摘  要:
在介绍机载激光雷达数据的具体处理流程、分析机载激光雷达数据特征的基础上,结合高程数据和影像数据总结出了基于点云数据的大范围复杂流域的提取方案,同时设计了提取流程并应用该流程对实验数据进行了河网提取。将采用本研究方案提取的河网结果与全手工处理所得的结果进行对比分析后发现,本研究提出的基于机载激光雷达点云数据的河网提取精度误差为3.8%,符合实际生产要求。基于机载激光雷达技术提取河网不仅信息丰富而且提取精度和效率显著提高,同时它作为一种全新数据采集技术,为数字流域三维可视化提供了新的技术支撑。
译  名:
Extraction Method of River Net Based on LiDAR Points Cloud Data
作  者:
WANG Cui-ping1,2,WANG Hao-wei1,2,LIU Ming1,2,et al.(1.Key Lab of Urban Environment and Health,Institute of Urban Environment,Chinese Academy of Sciences,Xiamen,Fujian 361021,China;2.Xiamen Key Lab of Urban Metabolism,Xiamen,Fujian 361021,China)
关键词:
airborne LiDAR;point cloud data;river net extraction;digital watershed
摘  要:
Based on the introduction of specific processing flow and analysis of characteristics of airborne LiDAR data,the paper summarizes the extraction solution of a complicated watershed on a large scale with point cloud data,combined with elevation data and image data,and designs an extraction processing flow and extracts river net by using the flow.The comparative analysis of river net extracted by the study and by the total manual processing show that the error of accuracy of point cloud data of river net based on the airborne LiDAR technology is 3.8%,basically meeting the accuracy required by actual production.The outcomes show that the river net extracted based on airborne LiDAR technology not only contains a large amount of information but also has higher extraction accuracy and the extraction efficiency is significantly improved.As a data acquisition technology,the airborne LiDAR technology has provided technical support for the three-dimensional visualization of digital watershed.

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