• DocumentCode
    2663595
  • Title

    Steerable filter based multiscale registration method for JERS-1 SAR and ASTER images

  • Author

    Li, Qi ; Sato, Isao ; Murakami, Yutaka

  • Author_Institution
    Nat. Inst. of Adv. Ind. Sci. & Technol., Tsukuba
  • fYear
    2007
  • fDate
    23-28 July 2007
  • Firstpage
    381
  • Lastpage
    384
  • Abstract
    It is a challenging problem to automatically register the SAR and optical satellite images in remote sensing applications. In this paper, a novel intensity based multiscale registration method using steerable Simoncelli filters is proposed to register JERS-1 SAR and ASTER images. The mutual information is used as the similarity measure, and a hybrid search technique is used to do the parameter optimization. The experimental results showed that the proposed registration scheme is competent for JERS-1 SAR and ASTER images, though the robustness of this scheme should be verified further more.
  • Keywords
    filtering theory; geophysical signal processing; image registration; radiometers; remote sensing; synthetic aperture radar; ASTER images; JERS-1 SAR; image registration; intensity based multiscale registration; mutual information; optical satellite images; remote sensing; steerable Simoncelli filters; synthetic aperture radar; Adaptive optics; Information filtering; Information filters; Mutual information; Optical filters; Optical sensors; Pollution measurement; Remote sensing; Satellite broadcasting; Speckle; ASTER; Image registration; SAR; geometric transform; mutual information; steerable filter;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2007. IGARSS 2007. IEEE International
  • Conference_Location
    Barcelona
  • Print_ISBN
    978-1-4244-1211-2
  • Electronic_ISBN
    978-1-4244-1212-9
  • Type

    conf

  • DOI
    10.1109/IGARSS.2007.4422810
  • Filename
    4422810