• DocumentCode
    2290164
  • Title

    A robust registration technique for multi-sensor images

  • Author

    Zamora, Gilberto ; Dickens, Molly ; Mitra, Sunanda

  • Author_Institution
    Dept. of Electr. Eng., Texas Tech. Univ., Lubbock, TX, USA
  • fYear
    1998
  • fDate
    5-7 Apr 1998
  • Firstpage
    87
  • Lastpage
    90
  • Abstract
    This paper describes an improved technique to register multi-sensor images by segmenting the images by adaptive clustering prior to performing preprocessing and cepstrum operation to determine the translational displacement. The difficulty in registering multi sensor images lies in the fact that the images of the same scene acquired by different sensors often appear different in detailed structures. Therefore the common features existing in such images need to be identified by suitable preprocessing operations for the success of the cepstral registration technique. Experimental results demonstrate the feasibility of successful cepstral registration of SAR and electro-optic images of the same scene despite apparent noticeable differences in some embedded structures thus providing a potential powerful tool for automated registration
  • Keywords
    adaptive signal processing; cepstral analysis; feature extraction; geophysical signal processing; image registration; image segmentation; image sequences; radar imaging; remote sensing by radar; sensor fusion; synthetic aperture radar; SAR images; adaptive clustering; automated registration; cepstrum operation; common features identification; electro-optic images; embedded structures; multi-sensor images; preprocessing; robust registration technique; scene; segment; translational displacement; Cepstral analysis; Cepstrum; Clustering algorithms; Fuzzy control; Image segmentation; Image sensors; Layout; Robustness; Sensor phenomena and characterization; Shape measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Analysis and Interpretation, 1998 IEEE Southwest Symposium on
  • Conference_Location
    Tucson, AZ
  • Print_ISBN
    0-7803-4876-1
  • Type

    conf

  • DOI
    10.1109/IAI.1998.666865
  • Filename
    666865