A ground filtering algorithm for airborne LiDAR in consideration of terrain break lines

被引:0
作者
Gao, Guang [1 ,2 ]
Ma, Hongchao [1 ]
Zhang, Liang [1 ]
Fu, Jing [3 ]
机构
[1] School of Remote Sensing and Information Engineering, Wuhan University, Wuhan
[2] Ningbo Institute of Surveying and Mapping, Ningbo
[3] China Electric Power Research Institute, Wuhan
来源
Wuhan Daxue Xuebao (Xinxi Kexue Ban)/Geomatics and Information Science of Wuhan University | 2015年 / 40卷 / 04期
基金
中国国家自然科学基金;
关键词
LiDAR; Predicated terrain angle; Priority queue; Terrain break lines; TIN filtering;
D O I
10.13203/j.whugis20130579
中图分类号
学科分类号
摘要
It's difficult to preserve terrain features, such as escarpments, terraces or terrain break lines, in filtering LiDAR data in mountain areas. According to the characteristics of LiDAR data in mountain areas, three important aspects of TIN filtering algorithm are improved: I more seed ground points are selected using a random strategy; II a new ground criteria called predicated terrain angle is proposed for preserving terrain break lines; III attaching a priority to each point and adjusting it during filtering, then points with higher priorities will be judged earlier. At last, some experiments on LiDAR data in mountain areas are made to verify the validity of the proposed method. Results show that the proposed method is very effective and useful for preserving terrain features and for improving the quality of filtering. ©, 2015, Wuhan University. All right reserved.
引用
收藏
页码:474 / 478
页数:4
相关论文
共 50 条
[41]   Taking stock of circumboreal forest carbon with ground measurements, airborne and spaceborne LiDAR [J].
Neigh, Christopher S. R. ;
Nelson, Ross F. ;
Ranson, K. Jon ;
Margolis, Hank A. ;
Montesano, Paul M. ;
Sun, Guoqing ;
Kharuk, Viacheslav ;
Naesset, Erik ;
Wulder, Michael A. ;
Andersen, Hans-Erik .
REMOTE SENSING OF ENVIRONMENT, 2013, 137 :274-287
[42]   A probabilistic model for simulating the effect of airborne dust on ground-based LIDAR [J].
Goodin, Christopher ;
Durst, Phillip J. ;
Prevost, Zachary T. ;
Compton, Patrick J. .
ACTIVE AND PASSIVE SIGNATURES IV, 2013, 8734
[43]   3D Reconstruction of Ground Crops Based on Airborne LiDAR Technology [J].
Pan, Yue ;
Han, Yu ;
Wang, Lin ;
Chen, Jian ;
Meng, Hao ;
Wang, Guangqi ;
Zhang, Zichao ;
Wang, Shubo .
IFAC PAPERSONLINE, 2019, 52 (24) :35-40
[44]   Automatic power lines extraction method from airborne LiDAR point cloud [J].
Chen, Chi ;
Mai, Xiaoming ;
Song, Shuang ;
Peng, Xiangyang ;
Xu, Wenxue ;
Wang, Ke .
Wuhan Daxue Xuebao (Xinxi Kexue Ban)/Geomatics and Information Science of Wuhan University, 2015, 40 (12) :1563-1569
[45]   Algorithm for Constructing Building Triangulation Based on Airborne LiDAR data of Urban [J].
Tian, Maoyi ;
Zhao, Qian ;
Liu, Jingrui .
2012 7TH INTERNATIONAL CONFERENCE ON SYSTEM OF SYSTEMS ENGINEERING (SOSE), 2012, :41-43
[46]   Parameter-free ground filtering of LiDAR data for automatic DTM generation [J].
Mongus, Domen ;
Zalik, Borut .
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2012, 67 :1-12
[47]   Airborne lidar intensity correction for mapping snow cover extent and effective grain size in mountainous terrain [J].
Ackroyd, Chelsea ;
Donahue, Christopher P. ;
Menounos, Brian ;
Skiles, S. McKenzie .
GISCIENCE & REMOTE SENSING, 2024, 61 (01)
[48]   A Morphological LiDAR Point Cloud Filtering Method Based on Fake Scan Lines [J].
Li, Pengcheng ;
Wang, Hui ;
Liu, Zhiqing .
2011 INTERNATIONAL CONFERENCE ON ELECTRONICS, COMMUNICATIONS AND CONTROL (ICECC), 2011, :1228-1231
[49]   Filtering of LiDAR Point Cloud Data Based on new TIN Algorithm [J].
Sui, Lichun ;
Zhu, Jianfeng ;
Zhu, Haixiong ;
Zhong, Mianqing .
PROCEEDINGS OF THE 2017 7TH INTERNATIONAL CONFERENCE ON MANUFACTURING SCIENCE AND ENGINEERING (ICMSE 2017), 2017, 128 :72-76
[50]   A NEW FILTERING ALGORITHM FOR LIDAR DATA FUSED WITH IMAGE SEGMENTATION INFORMATION [J].
Xu, Zhenghui ;
Liu, Ling ;
Liu, Xiaodong .
INTERNATIONAL SYMPOSIUM ON LIDAR AND RADAR MAPPING 2011: TECHNOLOGIES AND APPLICATIONS, 2011, 8286