• DocumentCode
    143402
  • Title

    A method for improving the consistency property of pansharpening algorithms

  • Author

    Vicinanza, M.R. ; Restaino, R. ; Vivone, G. ; Dalla Mura, Mauro ; Licciardi, G. ; Chanussot, J.

  • Author_Institution
    Dept. of Inf. Eng., Electr. Eng. & Appl. Math. (DIEM), Univ. of Salerno, Salerno, Italy
  • fYear
    2014
  • fDate
    13-18 July 2014
  • Firstpage
    2534
  • Lastpage
    2537
  • Abstract
    The design of a pansharpening algorithm for enriching a MultiSpectral image with the spatial details of a Panchromatic image should preserve the characteristics of the original dataset. A widely employed quality check consists in verifying the consistency of the fused product, namely the similarity of the original image and a reduced resolution version of the sharpened product. We propose to improve this feature by applying an Iterative Back-Projection algorithm after the fusion procedure. The approach is validated on two datasets, acquired by the Ikonos and WorldView-2 sensors, showing remarkable improvements, especially in conjunction with Component Substitution pansharpening methods.
  • Keywords
    geophysical image processing; geophysical techniques; image fusion; image resolution; iterative methods; remote sensing; Ikonos sensor; WorldView-2 sensor; component substitution pansharpening method; fused product; iterative back-projection algorithm; multispectral image; original dataset; original image similarity; panchromatic image; pansharpening algorithms; reduced resolution version; sharpened product; Algorithm design and analysis; Indexes; Multiresolution analysis; Protocols; Sensors; Spatial resolution; Component Substitution; Iterative Back-Projection; MultiResolution Analysis; Pansharpening;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
  • Conference_Location
    Quebec City, QC
  • Type

    conf

  • DOI
    10.1109/IGARSS.2014.6946989
  • Filename
    6946989