• DocumentCode
    576533
  • Title

    Building detection in intricate environment based on interference suppression with digital surface model and optical image

  • Author

    Yan, Yiming ; Chen, Hao ; Gao, Fengjiao ; Zhang, Ye

  • Author_Institution
    Inst. of Image & Inf. Technol., Harbin Inst. of Technol., Harbin, China
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    5717
  • Lastpage
    5720
  • Abstract
    In this paper, a remote sensing building detection method is proposed, based on knowledge of environment. Digital surface model (DSM) and optical image are utilized for analyzing intricate environment of urban area. Partitioned terrain adjustment (PTA) method is proposed for alleviating terrain interference. Furthermore, vegetation interference is suppressed by optical image based reconfirming. Experiments results indicate that high accuracy detection could be obtained by our method.
  • Keywords
    digital elevation models; geophysical image processing; geophysical techniques; object detection; remote sensing; vegetation; digital surface model; high accuracy detection; interference suppression; optical image; partitioned terrain adjustment method; remote sensing building detection method; terrain interference; urban area; vegetation interference; Optical imaging; Urban remote sensing; building detection; digital surface model; environment interference suppression;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
  • Conference_Location
    Munich
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4673-1160-1
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2012.6352313
  • Filename
    6352313