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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    Title :

    Change Detection In Monochromatic Imagery


    Contributors:

    Conference:

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


    Published in:

    Publication date :

    1989-03-21





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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