摘要
随着机载LiDAR技术的发展,利用LiDAR点云数据辅助城市遥感信息提取研究成为当前的热门。本文在介绍点云数据处理流程和特征提取的基础上,从目标提取方面对LiDAR点云数据用于城市遥感的应用进行了探索。在后续工作中,笔者需要进一步关注城市遥感的应用需求,充分挖掘点云数据隐含特征,提高LiDAR点云数据处理的效率、精度和自动化程度。
With the development of airborne LiDAR technology,the use of LiDAR point cloud data to assist urban remote sensing information extraction research has become a hot research. Based on the introduction of point cloud data processing and features extraction,this paper explores the application of LiDAR point cloud data for urban remote sensing from the aspect of target extraction.In the follow-up work,we need to pay more attention to the application requirements of urban remote sensing,fully exploit the hidden features of point cloud data,and improve the efficiency,accuracy and automation of LiDAR point cloud data processing.
作者
李波
LI Bo(Chongqing Survey Institute,Chongqing 401121,China)
出处
《测绘通报》
CSCD
北大核心
2018年第A01期66-69,共4页
Bulletin of Surveying and Mapping
基金
重庆市社会事业与民生保障科技创新专项(cstc2018jscx-msyb1232)
