An important application of vision in aerial reconnaissance is the detection and classification of changes between images of the same scene taken at different times. There are a variety of factors that make this an exceedingly difficult problem: 1) The images are ordinarily taken from (slightly) different vantage points. If the images are taken at sufficiently high altitudes, then the images can, in principle, be registered by a single global coordinate transformation. Otherwise (and this is often the case) the images must be treated as a stereo pair, and the corresponding disparity field must be computed in order for the images to be compared.


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    Titel :

    Change Detection In Monochromatic Imagery


    Beteiligte:
    Davis, Larry S. (Autor:in) / Harwood, David A. (Autor:in) / Chen, Ling T. (Autor:in) / Hsu, Diane (Autor:in)

    Kongress:

    Applications of Artificial Intelligence VII ; 1989 ; Orlando,FL,United States


    Erschienen in:

    Erscheinungsdatum :

    1989-03-21





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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