The authors describe the organization of a rule-based system, SPAM, that uses map and domain-specific knowledge to interpret airport scenes. They investigate the use of a rule-based system for the control of image processing and interpretation of results with respect to a world model, as well as the representation of the world model within an image-/map database. Results are presented on the interpretation of a high-resolution airport scene where the image segmentation has been performed by a human, and by a region-based image segmentation program. The results of the system's analysis are characterized by the labeling of individual regions in the image and the collection of these regions into consistent interpretations of the major components of an airport model. These interpretations are ranked on the basis of their overall spatial and structural consistency. Some evaluations based on the results from three evolutionary versions of SPAM are presented.


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    Title :

    Rule-based interpretation of aerial imagery


    Additional title:

    Regelgestuetzte Interpretation von Luftbildern


    Contributors:


    Publication date :

    1985


    Size :

    16 Seiten, 23 Quellen



    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English





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