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一种基于形态学的激光雷达数据滤波算法的改进
引用本文:杨晓云.一种基于形态学的激光雷达数据滤波算法的改进[J].测绘科学,2011,36(4):166-168.
作者姓名:杨晓云
作者单位:广西工学院土木建筑工程系,广西柳州,545006
基金项目:广西教育厅科研项目,广西工学院科学基金
摘    要:机载激光雷达是DEM生产的重要技术手段之一.为了获取高分辨率的DEM,首先要将建筑物、车辆、植被等非地面点去除,这一过程称为滤波.本文在现有算法的基础上提出一种改进的形态学滤波算法.该算法逐步增大滤波窗口尺寸,并采用自适应的高差阈值,较好地保留了地形拓扑信息.试验采用ISPRS提供的参考数据进行测试分析,该数据代表典型...

关 键 词:激光雷达  形态学  滤波  数字高程模型

Improvement morphological filter for on-ground measurements from LiDAR data
YANG Xiao-yun.Improvement morphological filter for on-ground measurements from LiDAR data[J].Science of Surveying and Mapping,2011,36(4):166-168.
Authors:YANG Xiao-yun
Institution:YANG Xiao-yun(Department of Civil Engineering,Guangxi University of Technology,Guangxi Liuzhou 545006,China)
Abstract:LiDAR was widely used for DEM production in recent years.In order to generate a DEM,measurements from non-ground features such as buildings,vehicles,and vegetation have to be classified and removed.The progress is also named filtering.In this paper,a progressive morphological filter was developed to detect non-ground LiDAR measurements.By gradually increasing the window size of the filter and using elevation difference thresholds,the measurements of vehicles,vegetation,and buildings were removed,while ground data were preserved.Reference data sets provided by ISPRS was selected to test the progressive morphological filter.This data came from city area.The results showed that the filter could remove most of the non-ground points effectively.
Keywords:LiDAR  morphology  filtering  DEM
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