• DocumentCode
    2140355
  • Title

    New technologies for improving spatial resolution of satellite images

  • Author

    Li, Yifeng ; Lampropoulos, George A. ; Qian, Shen-En

  • Author_Institution
    A.U.G. Signals Ltd., Toronto, Ont., Canada
  • Volume
    6
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    3326
  • Abstract
    In this paper, the results of different image fusion schemes for pixel level fusion and image super-resolution reconstruction algorithm are presented. A new method that performs enhancements in the spatial resolution is employed. It has the following unique features: (a) higher ability of improving image spatial resolution (b) increased reduction of pixel uncertainties due to calibration errors through a new adaptive filtering technique, and (c) improved reduction of the blurring through a new blur estimation and super-resolution restoration that employs cross-validation for regularization. Tradeoff studies with other state of the art spatial resolution enhancement algorithms are presented.
  • Keywords
    adaptive filters; geophysical signal processing; image enhancement; image resolution; image restoration; remote sensing; sensor fusion; adaptive filtering technique; blur estimation; blurring; calibration errors; enhancements; image fusion schemes; image super-resolution reconstruction algorithm; pixel level fusion; pixel uncertainties; regularization; satellite images; spatial resolution; super-resolution restoration; Adaptive filters; Calibration; Image fusion; Image resolution; Image restoration; Pixel; Reconstruction algorithms; Satellites; Spatial resolution; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2002. IGARSS '02. 2002 IEEE International
  • Print_ISBN
    0-7803-7536-X
  • Type

    conf

  • DOI
    10.1109/IGARSS.2002.1027171
  • Filename
    1027171