• DocumentCode
    3632222
  • Title

    Building extraction with morphology

  • Author

    Ugur Acar;Bulent Bayram

  • Author_Institution
    Geodesy and Photogrammetry Department, Y?ld?z Technical University, ?stanbul, Turkey
  • fYear
    2009
  • fDate
    6/1/2009 12:00:00 AM
  • Firstpage
    33
  • Lastpage
    38
  • Abstract
    Building extraction is one of the biggest problems of the photogrammetry. Automatic building extraction from aerial imagery in an urban environment is the main focus of this study. The strategy of our approach is to reduce the complexity of the image with the mathematical morphology. True color aerial images have been used as the information source. In this study, the mathematical morphologic operator has been used to close and eliminate the unwanted objects over the building roofs. The successes of this method are about the elimination of the unwanted objects and keep up the structure of the building. Because of different style of urbanization, four different location and six high resolution ikonos satellite image have been used. The results are %85 of success.
  • Keywords
    "Morphology","Buildings","Image processing","Shape","Gray-scale","Color","Geodesy","Satellites","Digital images","Data mining"
  • Publisher
    ieee
  • Conference_Titel
    Recent Advances in Space Technologies, 2009. RAST ´09. 4th International Conference on
  • Print_ISBN
    978-1-4244-3626-2;978-1-4244-3627-9
  • Type

    conf

  • DOI
    10.1109/RAST.2009.5158221
  • Filename
    5158221