摘要
为了利用机载激光雷达点云生成高保真、多尺度的数字高程模型(DEM),提出了一种基于综合生成策略的方法:首先,利用点云数据中的地面点生成高分辨率、高保真的DEM作为基础DEM;然后,通过迭代的方式对上一层较高分辨的DEM进行综合获取较低分辨率、高保真的DEM。实验表明,本文方法不仅具有可行性,而且生成的多尺度DEM具有高保真的特性。
A generalization-generation-based method is proposed to produce high-fidelity and multiscale digital elevation rnodel（DEM） from airborne LiDAR point cloud. First, the ground points in the airborne LiDAR data are utilized to produce a high spatial resolution and high fidelity DEM, and this DEM is taken as the basic DEM. Second, an iterative process is employed to produce multi-scale DEM. Specifically, in each iteration, the higher spatial resolution DEM is generalized to produce a lower spatial resolution DEM. The experiment suggests that the proposed method is feasible, and the multi-scale DEMs have the characteristic of high fidelity.
出处
《测绘科学》
CSCD
北大核心
2017年第5期131-135,共5页
Science of Surveying and Mapping
基金
广东省国土资源测绘院基础测绘项目(E1511)
关键词
机载LIDAR
点云
数字高程模型
多尺度
综合
airborne LiDAR
point cloud
digital elevation model
multi-scale
generalization
