A Structural Analysis of Complex Aerial Photographs

A new system for the structural analysis of complex aerial photographs is presented. This system has the ability of focussing its attention of the analysis on the limited local areas where objects are highly supposed to exist. Several kinds of strong and typical features are extracted, and these primary features of objects are combined to extract rough areas of the objects. This focussing mechanism saves the total processing time and facilitates the detailed analysis. The recognition process of the system is Implemented according to the 'production system'. The knowledge sources in this system are object-detection subsystems which analyse their individually focussed local areas and recognize specific objects respectively. All the results of the analysis are written in the common blackboard, and the system finds out conflicts and recovers errors by backtracking to feature extractions and low level processings. This architecture enables us to organize smoothly the diverse knowledge required to describe the complex structure on the ground surface.

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