机载LiDAR点云数据的二面角滤波算法
Dihedral Angle Filtering Algorithm for Airborne LiDAR Point Cloud Data
查看参考文献22篇
刘凯斯
1,2,3
王彦兵
1,2,3
*
宫辉力
1,2,3
李小娟
1,2,3
余洁
1,2,3
|
文摘
|
机载LiDAR是获取地表DEM的重要技术之一。本文针对机载LiDAR点云数据在复杂城区环境下的大型建筑及低矮地物滤波问题,提出一种新的二面角滤波法。利用空间二面角的平面角可以表达空间两相交平面相对位置的原理,实现机载LiDAR点云数据滤波。首先,算法提取点云数据中的高程突变点,以非突变点的二面角余弦均值稳定性作为判定迭代结束的条件;其次,分别统计高程突变和非突变点集的二面角余弦值频率分布,以交点处对应余弦值和最后一次迭代的坡度值作为LiDAR点云滤波的判定条件;最后,利用数学形态学"开"算子,去除残留低矮植被,得到可靠的滤波结果。对同一区域机载LiDAR点云数据,通过"二面角法"与"渐进三角网法"进行滤波处理。实验结果表明,二面角滤波法能有效地降低地物点错分为地面点的百分率,且在去除地物信息的同时能良好地保留地形特征。 |
|
其他语种文摘
|
Airborne LiDAR is one kind of the technologies for obtaining ground surface DEM. On the analysis of the airborne LiDAR point cloud filtering algorithms, this paper proposes a new filtering algorithm-dihedral filtering. The algorithm is based on the theory that can express the relative position of two intersect planes in space, to achieve the airborne LiDAR point cloud data filtering process. Firstly, the elevation-mutate points are extracted from point cloud data. The iteration ends when the stability of the cosine of non-mutated points' dihedral angle reaches required level. Then, the frequency distributions of the cosine of both mutated and non-mutated points' dihedral angle are counted, and draws a line chart. Ground points and non-ground points are classified based on the intersection's cosine of line chart and slope value of the last iteration. Finally, the open operator of the mathematical morphology is used to remove low vegetation, and the reliable results are obtained. Comparing with 'Progressive TIN Method', the misjudged percentage of the non-ground points were effectively reduced. Dihedral method can retain topographical information while filtering terrestrial object information. |
|
来源
|
地球信息科学学报
,2018,20(4):414-421 【核心库】
|
|
DOI
|
10.12082/dqxxkx.2018.170489
|
|
关键词
|
机载LiDAR
;
二面角滤波法
;
坡度
;
开算子
;
DEM
|
|
地址
|
1.
首都师范大学, 三维信息获取与应用教育部重点实验室, 北京, 100048
2.
首都师范大学, 城市环境过程与数字模拟国家重点实验室培育基地, 北京, 100048
3.
首都师范大学资源环境与旅游学院, 北京, 100048
|
|
语种
|
中文 |
|
文献类型
|
研究性论文 |
|
ISSN
|
1560-8999 |
|
学科
|
测绘学 |
|
基金
|
国家自然科学基金面上项目
;
北京市教委科技计划一般项目
|
|
文献收藏号
|
CSCD:6216730
|
参考文献 共
22
共2页
|
|
1.
惠振阳. 基于LiDAR数字高程模型构建的数学形态学滤波方法综述.
激光与光电子学进展,2016,53:(08001):1-(08001):7
|
被引
1
次
|
|
|
|
|
2.
Ackermann F. Airborne laser scanning-present status and future expectations.
ISPRS Journal of Photogrammetry and Remote Sensing,1999,54(2/3):64-67
|
被引
43
次
|
|
|
|
|
3.
Baltsavias E. Airborne laser scanning: Existing systems and firms and other resources.
ISPRS Journal of Photogrammetry and Remote Sensing,1999,54(2/3):164-198
|
被引
27
次
|
|
|
|
|
4.
隋立春. 基于car(p,q)模型和数学形态学理论的LiDAR点云数据滤波.
测绘学报,2012,41(2):219-224
|
被引
12
次
|
|
|
|
|
5.
张小红.
机载激光雷达测量技术理论与方法,2007
|
被引
104
次
|
|
|
|
|
6.
门林杰. 基于改进的坡度滤波算法的LiDAR数据滤波.
测绘信息与工程,2011,36(2):4-5
|
被引
4
次
|
|
|
|
|
7.
黄作维. 基于多尺度虚拟网格的LiDAR点云数据滤波改进方法.
光学学报,2017,37(8):2-10
|
被引
1
次
|
|
|
|
|
8.
Petzold B. Result of the OEEPEWG on laser data acquisition.
International Archives of Photogrammetry and Remote Sensing, Amsterdam,2000,33(B3):718-723
|
被引
3
次
|
|
|
|
|
9.
Sui L C.
Analysis of laser scanner data by means of digital image processing techniques,2003
|
被引
4
次
|
|
|
|
|
10.
乔淑荣. 考虑区域增长与数学形态学的LiDAR多次回波数据滤波.
工程勘察,2016(7):44-48
|
被引
2
次
|
|
|
|
|
11.
Axelsson P. DEM generation from laser scanner data using adaptive TIN models.
International Archives of Photogrammetry and Remote Sensing,2001,33(B4):110-117
|
被引
2
次
|
|
|
|
|
12.
邢旭东. 基于高程突变TIN的改进机载LiDAR点云滤波算法.
测绘与空间地理信息,2015,38(12):105-110
|
被引
3
次
|
|
|
|
|
13.
Yang B S. Two-step adaptive extraction method for ground points and breaklines from LIDAR point clouds.
ISPRS Journal of Photogrammetry and Remote Sensing,2016,119:373-389
|
被引
9
次
|
|
|
|
|
14.
周晓明. 基于小波多分辨率方向高程限差的LiDAR数据滤波.
测绘科学,2010,35(4):91-93
|
被引
3
次
|
|
|
|
|
15.
王植. 基于正交多项式的平原城区机载LiDAR数据滤波算法.
地理与地理信息科学,2012,28(1):43-46
|
被引
2
次
|
|
|
|
|
16.
张杰. 基于多分辨率层次分类的机载LiDAR点云滤波方法.
测绘科学技术学报,2017,34(1):64-69
|
被引
4
次
|
|
|
|
|
17.
Weidner U. Towards automatic building extraction form high resolution digital elevation models.
International Archives of Photogrammetry and Remote Sensing,1995,50:38-49
|
被引
1
次
|
|
|
|
|
18.
Vosselman G. Slope based filtering of laser altimetry data.
International Archives of Photogrammetry and Remote Sensing,2000,33(Part B3):935-942
|
被引
61
次
|
|
|
|
|
19.
Sithole G. Experimental comparison of filter algorithms for bare-earth extraction from airborne laser scanning point clouds.
ISPRS Journal of Photogrammetry and Remote Sensing,2004,59(1/2):85-101
|
被引
149
次
|
|
|
|
|
20.
Yi C S. Automated searching of ground points from airborne Lidar data using a climbing and sliding method.
Photogrammetric Engineering and Remote Sensing,2008,74(5):625-635
|
被引
1
次
|
|
|
|
|
了解气象卫星更多信息，请访问