摘要
为了解决现有点云滤波算法设置参量多、滤波效果不理想、难以操作等问题,采用最新的布料模拟滤波算法,根据简单的物理过程构建虚拟格网模拟地形表面,并针对复杂地形的点云数据进行定性和定量滤波验证。结果表明,其Ⅰ类误差在5.7%、Ⅱ类误差在3.4%以内,但针对部分混合有平坦和陡坡的局部区域滤波效果并非理想;在满足滤波精度的同时,可在30s内完成数百万个点的滤波,甚至在数秒内完成数十万个点的滤波。该算法所需参量很少、效率非常高,能满足绝大多数复杂地形数据的滤波要求。
In order to solve the problems in the existing point cloud filtering algorithm,such as too many parameters,without ideal filtering effect and inconvenient operation,the cloth simulation filtering(CSF)algorithm was chosen to construct virtual grid to simulate terrain surface.The algorithm was verified using the qualitative and quantitative experiment and analysis in complex terrain point cloud data.The results show that typeⅠerror is less than 5.7%,typeⅡerror less than 3.4%,but for the local area with some mixed flat and steep slope the filtering effect is not ideal;The algorithm can achieve the filtering of millions of points in 30s while satisfying the filtering precision,and even hundreds of thousands of points in several seconds.The algorithm requires few parameters and is very efficient.It can satisfy the filtering requirements of most complex terrain data.
作者
张昌赛
刘正军
杨树文
左志权
ZHANG Changsai;LIU Zhengjun;YANG Shuwen;ZUO Zhiquan(Faculty of Geomatics,Lanzhou Jiaotong University,Lanzhou 730070,China;Institute of Photogrammetry and Remote Sensing,Chinese Academy of Surveying and Mapping,Beijing 100830,China;Gansu Provincial Engineering National Laboratory for Geographic State Monitoring,Lanzhou 730070,China)
出处
《激光技术》
CAS
CSCD
北大核心
2018年第3期410-416,共7页
Laser Technology
基金
国家自然科学基金资助项目(41371406)
国家重点研发计划资助项目(2017YFB0504201)
关键词
遥感
点云滤波
机载激光探测与测量
布料模拟滤波
remote sensing
point cloud filtering
airborne laser detection and measurement
cloth simulation filtering
