A model-based method for the analysis of structures in aerial images is described. The knowledge about object structures is represented by a set of productions. Together with the object concepts these productions form a net. Such production systems are implemented in a blackboard architecture. The database is realized in form of an associative memory. A simple example net is used to explain the 3D-analysis and the detection of a high building. The result of the image analysis and partial results obtained by a derivation graph are displayed. Problems with the associative access are discussed and an extended hardware concept is proposed.
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