• DocumentCode
    2203443
  • Title

    Comparing different IHS-based pan-sharpening techniques for worldview-2 high resolution satellite imagery

  • Author

    Samadzadegan, Farhad ; Fathollahi, Fatemeh ; Rezaee, Mohammad

  • Author_Institution
    Dept. of Geomatics Eng., Univ. of Tehran, Tehran, Iran
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    2296
  • Lastpage
    2299
  • Abstract
    Nowadays, with rapid development in sensor technologies, better spectral and spatial resolutions are available by the high resolution satellite imageries. These new capabilities motivate the idea to explore existing pan-sharpening techniques to find the best and also to modify them somehow to profit from the new capabilities. Over the last two decades, a wide range of pan-sharpening methods have been proposed to synthesize the data which contain both high spatial and spectral characteristics of the multispectral and panchromatic images. This paper evaluates the potential of different IHS-based pan-sharpening techniques for worldview-2 high resolution satellite imagery. It has been proved that the main reason of spectral distortion of IHS-based method is the difference between the spectral response of the Pan and Intensity component. Obtained results in this paper clearly show the superiority of spectral quality of the IGIHS-AW and spatial quality of traditional IHS in comparison with other IHS-based techniques.
  • Keywords
    distortion; image resolution; remote sensing; spectral analysis; IHS-based pan-sharpening technique; data synthesis; multispectral image; panchromatic image; sensor technology; spatial characteristics; spatial resolution; spectral characteristics; spectral distortion; spectral quality; spectral resolution; spectral response; worldview-2 high resolution satellite imagery; Image color analysis; Measurement; Quality assessment; Remote sensing; Satellites; Spatial resolution; IHS-based techniques; Pan-sharpening Fusion; Quality Assessments; WorldView-2;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
  • Conference_Location
    Munich
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4673-1160-1
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2012.6351036
  • Filename
    6351036