• DocumentCode
    529219
  • Title

    Automatic change detection of buildings from aerial images

  • Author

    Nakamura, Satoshi ; Aoki, Yoshimitu

  • Author_Institution
    Keio Univ., Yokohama, Japan
  • fYear
    2010
  • fDate
    18-21 Aug. 2010
  • Firstpage
    92
  • Lastpage
    95
  • Abstract
    Recently, the research that extracts the feature from aerial images is very active. In the efficient analysis of the city space, the information gathering technology that uses the aerial images is being established. Especially, the application that investigates the building in the large area is expected. In this paper the algorithm that automatically extracts the building change to the large area is proposed by comparing aerial images of the same place taken a picture at different time. To acquire the building change in the automatic operation, the tone is corrected between images and the building is extracted by using the shape feature in the building.
  • Keywords
    building; feature extraction; geographic information systems; shape recognition; aerial images; automatic buildings change detection; building shape feature; city space; feature extraction; information gathering technology; Buildings; Data mining; Feature extraction; Image color analysis; Pixel; Remote sensing; Shape; Aerial images; Building change extraction; building; change extraction; feature;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    SICE Annual Conference 2010, Proceedings of
  • Conference_Location
    Taipei
  • Print_ISBN
    978-1-4244-7642-8
  • Type

    conf

  • Filename
    5602424