• DocumentCode
    3107799
  • Title

    Egyptsat-1 super-resolution image reconstruction using data fusion

  • Author

    Nasr, Ayman H. ; Helmy, Ashraf K.

  • Author_Institution
    Data Reception, Anal. & Receiving Station Affairs Div., Nat. Authority for Remote Sensing & Space Sci., Cairo, Egypt
  • fYear
    2011
  • fDate
    11-13 April 2011
  • Firstpage
    317
  • Lastpage
    320
  • Abstract
    In this paper, we propose a super-resolution (SR) reconstruction algorithm for Egyptsat-1 images. We recombine the lower resolution of Egyptsat-1 bands in order to obtain a super-resolution product. The algorithm is based on image fusion scheme using the multi-resolution decomposition. The fusion process is done in steerable wavelet domain using normalized convolution technique. We show the implementation of the proposed algorithm and how it can make significant spatial resolution improvements from 7.8 m to 4 m without amplifying the noise and allowing recognition of objects with size approaching its limiting spatial resolution. The experimental results and the comparative analyses using the Modulation Transfer Function (MTF) and other measures verify the usefulness and effectiveness of this algorithm.
  • Keywords
    artificial satellites; geophysical image processing; image fusion; image reconstruction; image resolution; object recognition; transfer functions; wavelet transforms; Egyptsat-1 band; Egyptsat-1 superresolution image; data fusion; image fusion; modulation transfer function; multiresolution decomposition; normalized convolution; object recognition; spatial resolution; steerable wavelet domain; superresolution product; superresolution reconstruction algorithm; Convolution; Image reconstruction; Remote sensing; Spatial resolution; Strontium; Wavelet transforms;
  • 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.2011.5764783
  • Filename
    5764783