• DocumentCode
    2304759
  • Title

    Image matching and the compound techniques in terrain reconstruction

  • Author

    Lu, Yihui ; Reeves, Rob ; Kubik, Kurt

  • Author_Institution
    Sch. of Electr. & Electron. Syst. Eng., Queensland Univ., Qld., Australia
  • Volume
    5
  • fYear
    1998
  • fDate
    11-14 Oct 1998
  • Firstpage
    4459
  • Abstract
    One of the major research areas in computer vision and digital photogrammetry is image matching for the reconstruction of a Digital Elevation Model (DEM). Image matching is the first and difficult step in terrain reconstruction. DEMs produced by digital photogrammetric workstations supply important information on land form for cartographers and Geographic Information System (GIS) developers and users. Since the accuracy of maps, orthophotographs and GIS databases must be within a specified range for appropriate analysis of the information and subsequent decision making. An accurate DEM is needed. Current image matching methods for DEM determination only supply a Digital Surface Model (DSM). This means matching results map be on top of objects such as buildings, or trees. This does not supply an accurate DEM. A compound approach for 3D terrain reconstruction is proposed. It combines image analysis and image matching methods and supplies a more accurate DEM
  • Keywords
    image matching; image reconstruction; photogrammetry; 3D terrain reconstruction; computer vision; digital photogrammetry; image analysis; image matching; terrain reconstruction; Computer vision; Decision making; Digital elevation models; Geographic Information Systems; Image databases; Image matching; Image reconstruction; Information analysis; Surface reconstruction; Workstations;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man, and Cybernetics, 1998. 1998 IEEE International Conference on
  • Conference_Location
    San Diego, CA
  • ISSN
    1062-922X
  • Print_ISBN
    0-7803-4778-1
  • Type

    conf

  • DOI
    10.1109/ICSMC.1998.727552
  • Filename
    727552