摘要
针对形态学运算在机载Li DAR滤波中最大窗口尺寸的选择问题,提出了一种基于形态学开重建的迭代多尺度点云滤波算法。通过循环迭代多尺度开重建运算,克服开重建对矮小地物的误判问题,自动获取开重建运算的最大窗口尺寸,解决了对城市区域滤波的窗口适宜尺寸选择问题,提高了地物与地面点分类的正确性。使用ISPRS提供的城区样本测试数据开展实验,结果表明:其Ⅰ类、Ⅱ类及总误差均值分别达到3.10%、6.05%和4.11%,在Ⅱ类误差不显著增加的情况下,Ⅰ类误差和总误差均值同比均为最小,整体分类与自动识别性能优于常规滤波算法。
Aimed at the maximum window size problem of LiDAR morphological method on unknown region, a morphological filter of iterative multi- scale opening by reconstruction （IMORF） was proposed on the basis of traditional morphological filtering algorithms. Multi-scale opening by reconstruction （MORF） was utilized to get maximum window size automatically, which can help user settle the suitable window size problem of unknown region. MORF was used iteratively to settle the classification error of the low objects that were nearby high and large objects. The experimental results for ISPRS urban data show that IMORF can classify terrain and off-terrain points effectively, and the mean of TypeⅠ, Type Ⅱ and total error are 3.10%, 6.05% and 4.11% respectively. Compared with other traditional filtering methods, the mean of Type Ⅰ Error and Total Error of IMORF are minimum with Type Ⅱ Error increased not obviously.
出处
《红外与激光工程》
EI
CSCD
北大核心
2015年第1期363-369,共7页
Infrared and Laser Engineering
基金
国家自然科学基金(51178404
41072220
41201434)
高等学校博士学科点专项科研基金(20100184110019)
中央高校基本科研业务费专项资金(SWJTU09CX010
SWJTU09BR050
2682013CX009)
关键词
激光雷达
滤波
形态学开重建
多尺度开重建
迭代多尺度开重建
LiDAR
filtering
morphological opening by reconstruction（MORF）
multi-scale opening by reconstruction
iterative multi-scale opening by reconstruction（IMORF）
