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.
Rule-based interpretation of aerial imagery
Regelgestuetzte Interpretation von Luftbildern
IEEE Transactions on Pattern Analysis and Machine Intelligence ; PAMI-7 , 5 ; 570-585
1985
16 Seiten, 23 Quellen
Article (Journal)
English
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