USING POLAR GRID FOR BUILDING EXTRACTION IN TERRESTRIAL LASER SCANNING DATA

被引:1
作者
Chen, Maolin [1 ]
Tang, Feifei [1 ]
Pan, Jianping [1 ]
机构
[1] Chongqing Jiaotong Univ, Sch Civil Engn, 66 Xuefu Ave, Chongqing, Peoples R China
来源
IGARSS 2020 - 2020 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM | 2020年
基金
中国国家自然科学基金;
关键词
Terrestrial laser scanning; building detection; point cloud; polar grid; LIDAR; OBJECTS;
D O I
10.1109/IGARSS39084.2020.9324001
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this paper, we propose a method for building extraction, mainly focusing on the large density variety in terrestrial laser scanning (TLS) data. The density of projected points is calculated based on the polar grid instead of the commonly used regular grid and adaptive thresholds are generated for each cell to filter non-building cells and avoid parameter tuning. The points in the remaining cells are grouped into different clusters and the planar ratio of each cluster is calculated based on dimensionality features. Finally, the points in the clusters with planar ratio larger than 75% are recognized as building points. The method is compared with a regular grid based method in an urban TLS data with the buildings distributed at a distance of 60 to 350m and the results show that the proposed method has a better performance on the detection of buildings which are more than 200 meters away in this data.
引用
收藏
页码:1632 / 1634
页数:3
相关论文
共 17 条
  • [1] Classification of Terrestrial Laser Scanning Data With Density-Adaptive Geometric Features
    Chen, Maolin
    Pan, Jianping
    Xu, Jingzhong
    [J]. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2018, 15 (11) : 1795 - 1799
  • [2] Automatic Stem Detection in Terrestrial Laser Scanning Data With Distance-Adaptive Search Radius
    Chen, Maolin
    Wan, Youchuan
    Wang, Mingwei
    Xu, Jingzhong
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2018, 56 (05): : 2968 - 2979
  • [3] Automatic Registration of Terrestrial and Airborne Point Clouds Using Building Outline Features
    Cheng, Xiaolong
    Cheng, Xiaojun
    Li, Quan
    Ma, Liwei
    [J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2018, 11 (02) : 628 - 638
  • [4] Demantké J, 2011, INT ARCH PHOTOGRAMM, V38-5, P97
  • [5] Interactive Urban Context-Aware Visualization via Multiple Disocclusion Operators
    Deng, Hao
    Zhang, Liqiang
    Mao, Xiancheng
    Qu, Huamin
    [J]. IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, 2016, 22 (07) : 1862 - 1874
  • [6] El Madawi K, 2019, IEEE INT C INTELL TR, P7, DOI [10.1109/ITSC.2019.8917447, 10.1109/itsc.2019.8917447]
  • [7] Identifying Man-Made Objects Along Urban Road Corridors From Mobile LiDAR Data
    Fan, Hongchao
    Yao, Wei
    Tang, Long
    [J]. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2014, 11 (05) : 950 - 954
  • [8] Online Building Segmentation from Ground-based LiDAR Data in Urban Scenes
    Gao, Jizhou
    Yang, Ruigang
    [J]. 2013 INTERNATIONAL CONFERENCE ON 3D VISION (3DV 2013), 2013, : 49 - 55
  • [9] Hernández J, 2009, 2009 JOINT URBAN REMOTE SENSING EVENT, VOLS 1-3, P560
  • [10] Li B.J., 2004, INT ARCH PHOTOGRAMM, V35, P934