• DocumentCode
    3107780
  • Title

    Multi-resolution, multi-sensor image fusion: general fusion framework

  • Author

    Palubinskas, Gintautas ; Reinartz, Peter

  • Author_Institution
    Remote Sensing Technol. Inst., German Aerosp. Center DLR, Wessling, Germany
  • fYear
    2011
  • fDate
    11-13 April 2011
  • Firstpage
    313
  • Lastpage
    316
  • Abstract
    Multi-resolution image fusion also known as pan-sharpening aims to include spatial information from a high resolution image, e.g. panchromatic or Synthetic Aperture Radar (SAR) image, into a low resolution image, e.g. multi-spectral or hyper-spectral image, while preserving spectral properties of a low resolution image. A signal processing view at this problem allowed us to perform a systematic classification of most known multi-resolution image fusion approaches and resulted in a General Framework for image Fusion (GFF) which is very well suitable for a fusion of multi-sensor data such as optical-optical and optical-radar imagery. Examples are presented for WorldView-1/2 and TerraSAR-X data.
  • Keywords
    geophysical image processing; image fusion; image resolution; synthetic aperture radar; general framework for image fusion; image classification; multiresolution image fusion; multisensor image fusion; optical-optical imagery; optical-radar imagery; pansharpening; signal processing; spatial information; Image fusion; Interpolation; Optical sensors; Remote sensing; Signal resolution; Spatial resolution;
  • 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.2011.5764782
  • Filename
    5764782