• DocumentCode
    2320333
  • Title

    DEM reconstruction in urban scenario

  • Author

    Baselice, Fabio ; Budillon, Alessandra ; Ferraioli, Giampaolo ; Pascazio, Vito

  • Author_Institution
    Dipt. per le Tecnol., Univ. degli Studi di Napoli Parthenope, Naples
  • fYear
    2009
  • fDate
    20-22 May 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    In this paper a method to handle layover regions in SAR images is presented. Layover occurs when multiple radar echoes collapse in the same resolution cell; presented approach is addressed to resolve the different echoes in order to allow a proper Digital Elevation Model generation, with particular attention to urban scenario. The problem is approached using a statistical modeling of the layover phenomenon and a classical statistical estimation technique. Some cases of study on realistically simulated SAR data are presented, showing the effectiveness of the method.
  • Keywords
    digital elevation models; geophysical techniques; radar cross-sections; remote sensing by radar; statistical analysis; synthetic aperture radar; DEM reconstruction; Digital Elevation Model; SAR images; Synthetic Aperture Radar; classical statistical estimation technique; layover phenomenon; layover regions; multiple radar echoes; statistical modeling; urban scenario; Digital elevation models; Image reconstruction; Image sensors; Maximum likelihood estimation; Radar imaging; Radar polarimetry; Remote sensing; Synthetic aperture radar interferometry; Tomography; Windows;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Urban Remote Sensing Event, 2009 Joint
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-3460-2
  • Electronic_ISBN
    978-1-4244-3461-9
  • Type

    conf

  • DOI
    10.1109/URS.2009.5137580
  • Filename
    5137580