• DocumentCode
    260727
  • Title

    Extraction of lattice openings of buildings from terrestrial LiDAR data

  • Author

    Susaki, Junichi

  • Author_Institution
    Grad. Sch. of Eng., Kyoto Univ. Kyoto, Kyoto, Japan
  • fYear
    2014
  • fDate
    24-24 Aug. 2014
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    We propose a method to effectively extract lattice openings (windows and doors) of traditional Japanese buildings from terrestrial light detection and ranging data. First, the points on a wall are extracted and edges that indicate non-flat surfaces are selected by examining shifts that occur when the data are smoothed. Next, wall direction is determined. Following this, the edges are grouped along wall direction according to the distances between points. Finally, lattice openings are selected from among the edge groups. The thresholds required were set by referring to samples; the proposed method was then applied to a Japanese traditional architecture preservation district. The validation results showed that the accuracy to finally extract lattice openings was 91% (F-measure), which is acceptable for disaster simulation. Therefore, the proposed method was found to be an effective approach for accurately extracting lattice openings from point clouds.
  • Keywords
    buildings (structures); disasters; optical radar; remote sensing by laser beam; remote sensing by radar; F-measure; Japanese traditional architecture preservation district; disaster simulation; doors; edge groups; lattice openings; nonflat surfaces; point clouds; terrestrial LiDAR data; terrestrial light detection and ranging data; traditional Japanese buildings; wall direction; windows; Accuracy; Buildings; Data mining; Feature extraction; Fires; Laser radar; Lattices; Attributes of buildings; Lattice openings; Pattern recognition; Point clouds;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition in Remote Sensing (PRRS), 2014 8th IAPR Workshop on
  • Conference_Location
    Stockholm
  • Type

    conf

  • DOI
    10.1109/PRRS.2014.6914285
  • Filename
    6914285