• DocumentCode
    2206263
  • Title

    Automatic registration of SAR and optical images based on mutual information assisted Monte Carlo

  • Author

    Siddique, Muhammad Adnan ; Sarfraz, M. Saquib ; Bornemann, David ; Hellwich, Olaf

  • Author_Institution
    Comput. Vision (COMVis) Res. Group, COMSATS Inst. of IT, Lahore, Pakistan
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    1813
  • Lastpage
    1816
  • Abstract
    The development of Geographical Information Systems applications involving fusion of data from different space-borne imaging sensors inevitably requires a preliminary registration of the images. In case of Synthetic Aperture Radar (SAR) and optical sensors, the registration is particularly challenging due to the vast radiometric differences in the data. In this paper, we present a novel method to register SAR and optical images automatically. It provides an accurate registration despite the radiometric differences in the images. Moreover, this paper introduces a Monte Carlo formulation of the image registration problem.
  • Keywords
    geographic information systems; geophysical image processing; geophysical techniques; image fusion; image registration; radar imaging; synthetic aperture radar; GIS applications; Monte Carlo formulation; SAR image automatic registration; SAR sensor; data fusion; geographical information systems; image registration problem; mutual information; optical image automatic registration; optical sensor; space-borne imaging sensors; synthetic aperture radar; Feature extraction; Monte Carlo methods; Optical imaging; Optical sensors; Radiometry; Synthetic aperture radar; Image registration; Monte Carlo; Mutual Information; Optical sensors; Random features; SAR;
  • 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.2012.6351159
  • Filename
    6351159