• DocumentCode
    2475778
  • Title

    Automatic referencing of multi-spectral images

  • Author

    Araiza, Roberto ; Xie, Hongjie ; Starks, Scott A. ; Kreinovich, Vladik

  • Author_Institution
    NASA Pan-American Center for Earth & Environ. Studies, Texas Univ., El Paso, TX, USA
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    21
  • Lastpage
    25
  • Abstract
    In order to adequately process satellite and radar information, it is necessary to find the exact correspondence between different types of images and between these images and existing maps. In other words, we need to reference these images. Automatic methods exist for referencing satellite images. These methods are based on using a fast Fourier transform (FFT). They work well because different images of the same area differ mainly by a shift and/or by a rotation. However, these methods do not work well when we attempt to reference radar images or satellite images with a road map because the corresponding images reflect different aspects of the geographic area. We propose new methods for automatic referencing of satellite and radar images to road maps
  • Keywords
    cartography; fast Fourier transforms; geophysical signal processing; image registration; radar imaging; terrain mapping; FFT; automatic referencing; fast Fourier transform; geographic area; multi-spectral images; radar images; road maps; satellite images; Automation; Earth; Fast Fourier transforms; Fourier transforms; Multispectral imaging; NASA; Radar imaging; Roads; Satellites; Spaceborne radar;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Analysis and Interpretation, 2002. Proceedings. Fifth IEEE Southwest Symposium on
  • Conference_Location
    Sante Fe, NM
  • Print_ISBN
    0-7695-1537-1
  • Type

    conf

  • DOI
    10.1109/IAI.2002.999882
  • Filename
    999882