A Method for Noise Removal of LIDAR Point Clouds

被引：5
|
作者：
Huang Zuowei [1 ,2 ]
Huang Yuanjiang [1 ]
Huang Jie [2 ]
机构：
[1] Hunan Univ Technol, Sch Architecture & Urban Planning, Zhuzhou 412008, Peoples R China
[2] Cent S Univ, Sch Geosci & Informat Phys, Changsha 410083, Peoples R China
来源：
2013 THIRD INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEM DESIGN AND ENGINEERING APPLICATIONS (ISDEA) | 2013年
关键词：
LIDAR; point clouds; noise removal; FEA;
D O I：
10.1109/ISDEA.2012.32
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
LiDAR can quickly and accurately obtain precision and high-density surface elevation data. In cooperation with high-precision GPS positioning technology and IMU attitude sensor, a typical noise removal algorithm of LIDAR point clouds based on FEA is proposed. Firstly point clouds is partitioned into smaller and similar units, then all of the units are classified into noise units or non-noise units with adjacency-based reasoning rules. Finally, the low noise is removed by iterative processing with finer threshold, The result shows that this method has good performance in noise removal.
引用
收藏
页码：104 / 107
页数：4
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