• DocumentCode
    3106740
  • Title

    Spatial classification of WorldView-2 multi-angle sequence

  • Author

    Longbotham, Nathan ; Bleiler, Chad ; Chaapel, Chuck ; Padwick, Chris ; Emery, William ; Pacifici, Fabio

  • Author_Institution
    Dept. of Aerosp. Eng. Sci., Univ. of Colorado, Boulder, CO, USA
  • fYear
    2011
  • fDate
    11-13 April 2011
  • Firstpage
    105
  • Lastpage
    108
  • Abstract
    In this study, we investigate the ability of the spatial data from a multi-angle WorldView-2 image sequence to improve classification accuracy of an urban scene. Specifically, we investigate texure and morphological features as well as a digital height map developed from thirteen images collected over downtown Atlanta, GA in Dec. 2009. These images were collected sequentially by WorldView-2 within two minutes and range from approximately 30 degrees off-nadir southward to 30 degrees off-nadir northward.
  • Keywords
    image sequences; pattern classification; town and country planning; WorldView-2 multiangle sequence; image sequence; spatial classification; urban scene; Bridges; Buildings; Morphology; Remote sensing; Satellites; Spatial resolution; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Urban Remote Sensing Event (JURSE), 2011 Joint
  • Conference_Location
    Munich
  • Print_ISBN
    978-1-4244-8658-8
  • Type

    conf

  • DOI
    10.1109/JURSE.2011.5764730
  • Filename
    5764730
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3106740