LiDAR segmentation using suitable seed points for 3D building extraction

S. M. Abdullah, Mohammad Awrangjeb, Guojun Lu

    Research output: Chapter in Book/Report/Conference proceedingConference PaperResearch

    9 Citations (Scopus)

    Abstract

    Effective building detection and roof reconstruction has an influential demand over the remote sensing research community. In this paper, we present a new automatic LiDAR point cloud segmentation method using suitable seed points for building detection and roof plane extraction. Firstly, the LiDAR point cloud is separated into "ground" and "non-ground" points based on the analysis of DEM with a height threshold. Each of the non-ground point is marked as coplanar or non-coplanar based on a coplanarity analysis. Commencing from the maximum LiDAR point height towards the minimum, all the LiDAR points on each height level are extracted and separated into several groups based on 2D distance. From each group, lines are extracted and a coplanar point which is the nearest to the midpoint of each line is considered as a seed point. This seed point and its neighbouring points are utilised to generate the plane equation. The plane is grown in a region growing fashion until no new points can be added. A robust rule-based tree removal method is applied subsequently to remove planar segments on trees. Four different rules are applied in this method. Finally, the boundary of each object is extracted from the segmented LiDAR point cloud. The method is evaluated with six different data sets consisting hilly and densely vegetated areas. The experimental results indicate that the proposed method offers a high building detection and roof plane extraction rates while compared to a recently proposed method.

    Original languageEnglish
    Title of host publicationISPRS Technical Commission III Symposium
    EditorsK. Schindler, N. Paparoditis
    PublisherInternational Society for Photogrammetry and Remote Sensing (ISPRS)
    Pages1-8
    Number of pages8
    DOIs
    Publication statusPublished - 2014
    EventISPRS Technical Commission III Symposium 2014 - Zurich, Switzerland
    Duration: 5 Sep 20147 Sep 2014
    https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-3/index.html

    Publication series

    NameInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
    PublisherInternational Society for Photogrammetry and Remote Sensing (ISPRS)
    Volume37

    Conference

    ConferenceISPRS Technical Commission III Symposium 2014
    Country/TerritorySwitzerland
    CityZurich
    Period5/09/147/09/14
    Internet address

    Keywords

    • Building detection
    • LiDAR data
    • Roof plane extraction
    • Seed point
    • Segmentation
    • Tree removal

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