• DocumentCode
    2302627
  • Title

    An edge-region cooperative multi-agent approach for buildings extraction

  • Author

    Sellaouti, Aymen ; Sghaier, Moslem Ouled ; Hamouda, Atef

  • fYear
    2012
  • fDate
    16-18 May 2012
  • Firstpage
    135
  • Lastpage
    140
  • Abstract
    This paper presents a new approach for automatic building detection in very high resolution satellite images. The proposed method is a cooperative multi-agent approach between both an edge and region approach. In the pretreatment step, a supervisor agent finds a building´s corner using Harris detector. Starting from these points, a cooperation process is used to extract buildings. Experiments are done on images of Strasbourg city taken by Quickbird.
  • Keywords
    artificial satellites; computer vision; edge detection; feature extraction; image resolution; image sensors; multi-agent systems; Harris detector; Quickbird; Strasbourg city; automatic building detection; edge approach; edge-region cooperative multiagent approach; pretreatment step; region approach; supervisor agent; very high resolution satellite images; Buildings; Detectors; Educational institutions; Image edge detection; Image segmentation; Radiometry; Vegetation mapping;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Information and Communication Technology and it's Applications (DICTAP), 2012 Second International Conference on
  • Conference_Location
    Bangkok
  • Print_ISBN
    978-1-4673-0733-8
  • Type

    conf

  • DOI
    10.1109/DICTAP.2012.6215369
  • Filename
    6215369