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.
Change Detection In Monochromatic Imagery
Applications of Artificial Intelligence VII ; 1989 ; Orlando,FL,United States
Proc. SPIE ; 1095
1989-03-21
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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