• DocumentCode
    3258929
  • Title

    Estimation of cluster centers on building roof from LiDAR footprints

  • Author

    Kong, Deming ; Xu, Lijun ; Li, Xiaolu ; Xing, Weiwei

  • Author_Institution
    State Key Lab. of Inertial Sci. & Technol., Beihang Univ., Beijing, China
  • fYear
    2012
  • fDate
    16-17 July 2012
  • Firstpage
    254
  • Lastpage
    258
  • Abstract
    A new method for the estimation of the cluster centers on the building roof from the LiDAR footprints is proposed. The elevation image of the building roof is obtained by applying gridding method on the data of the point cloud. The distribution areas of edge lines and ridge line on the building roof are respectively extracted through the calculation of morphological gradient of the elevation image and the operation of point detection on the erosion image. By the method of Hough transform, the feature lines of the building roof are obtained from the distribution areas of them. On the basis of number and normal vectors of geometrical planes, which are composed of the feature lines, the number of the clusters and the initial values of the cluster centers on the building roof are obtained. The proposed method is validated by a simulation experiment.
  • Keywords
    Hough transforms; edge detection; optical radar; radar imaging; roofs; Hough transform; LiDAR footprint; building roof; cluster center estimation; distribution area; edge line extraction; elevation image; erosion image; geometrical plane; gridding method; morphological gradient calculation; normal vector; point detection; ridge line extraction; Buildings; Clustering algorithms; Estimation; Feature extraction; Image edge detection; Laser radar; Vectors; Light Detection And Ranging (LiDAR); cluster center; elevation image; feature line; segmentation of point cloud;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Imaging Systems and Techniques (IST), 2012 IEEE International Conference on
  • Conference_Location
    Manchester
  • Print_ISBN
    978-1-4577-1776-5
  • Type

    conf

  • DOI
    10.1109/IST.2012.6295541
  • Filename
    6295541