• DocumentCode
    711671
  • Title

    Template based matching of optical and SAR imagery

  • Author

    Palubinskas, Gintautas ; Reinartz, Peter

  • Author_Institution
    Remote Sensing Technol. Inst., German Aerosp. Center DLR, Oberpfaffenhofen, Germany
  • fYear
    2015
  • fDate
    March 30 2015-April 1 2015
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Very high resolution radar satellites such as TerraSAR-X open new possibilities for image registration due to their very accurate absolute geo-location. Thus optical and SAR imagery registration seems to be an attractive solution for accurate and automatic common tie points extraction. We propose to use template based image matching approach because it allows defining features/templates using a priori information from the scene/image. The approach works as follows: first quite complex features e.g. roundabouts/junctions are extracted in the optical image, then these features are simulated in SAR and finally they are compared/matched on patch/area basis with the SAR image. The approach is illustrated for very high resolution satellite optical WorldView-2 and radar TerraSAR-X imagery.
  • Keywords
    feature extraction; geophysical image processing; image matching; image registration; image resolution; optical images; optical radar; radar imaging; radar resolution; spaceborne radar; synthetic aperture radar; SAR imagery; automatic common tie point extraction; image registration; optical imagery; radar TerraSAR-X imagery; roundabout-junction extraction; template based image matching approach; very accurate absolute geolocation; very high resolution radar satellite optical WorldView-2; Adaptive optics; Data mining; Feature extraction; Optical filters; Optical imaging; Optical sensors; Synthetic aperture radar;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Urban Remote Sensing Event (JURSE), 2015 Joint
  • Conference_Location
    Lausanne
  • Type

    conf

  • DOI
    10.1109/JURSE.2015.7120349
  • Filename
    7120349