首页 | 本学科首页   官方微博 | 高级检索  
     检索      

用形态学重建方法进行机载LiDAR数据滤波
引用本文:沈晶,刘纪平,林祥国.用形态学重建方法进行机载LiDAR数据滤波[J].武汉大学学报(信息科学版),2011(2).
作者姓名:沈晶  刘纪平  林祥国
作者单位:中国测绘科学研究院;武汉大学资源与环境科学学院;
基金项目:国家973计划资助项目(2006CB701303))
摘    要:在利用KD-树进行粗差剔除的基础上,结合机载LiDAR数据的多回波特性剔除不必要的冗余数据,利用形态学重建的方法对机载LiDAR数据进行滤波,且运行时只需要输入一个参数。使用国际摄影测量与遥感学会(ISPRS)提供的测试数据对算法进行实验,并与国际上8种滤波算法进行对比,结果表明,该算法对各种场景的适应性较强,既能有效地去除非地面点,又能很好地保留地面点,使Ⅰ类误差、Ⅱ类误差和总体误差分别保持在9.93%、7.27%和9.76%以下,整体性能优于经典的滤波方法。

关 键 词:机载LiDAR  滤波  数学形态学  形态学重建  测地膨胀  

Airborne LiDAR Data Filtering by Morphological Reconstruction Method
SHEN Jing LIU Jiping LIN Xiangguo.Airborne LiDAR Data Filtering by Morphological Reconstruction Method[J].Geomatics and Information Science of Wuhan University,2011(2).
Authors:SHEN Jing LIU Jiping LIN Xiangguo
Institution:SHEN Jing1 LIU Jiping1 LIN Xiangguo 1,2(1 Chinese Academy of Surveying and Mapping,28 West Lianhuachi Road,Haidian District,Beijing 100830,China)(2 School of Resources and Environment Science,Wuhan University,129 Luoyu Road,Wuhan 430079,China)
Abstract:A method is proposed for filtering.KD-tree is employed to eliminate the blunders,only last returns and singular echoes are retained for filtering after making multi-returns analysis,and morphological reconstruction is used to achieve the DEM from the DSM.Compared to the existing methods,it only needs one human input,and the input has a very simple indication.The experimental results show that our method can retain the ground points and eliminate the non-ground point as much as possible.That is the type I er...
Keywords:airborne LiDAR  filtering  mathematic morphology  morphological reconstruction  geodesic dilate  
本文献已被 CNKI 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号