Recognition of two-dimensional representation of urban environment for autonomous flying agents

In this paper the problem of a vision system implementation for autonomous flying agents is considered in the context of industrial inspection tasks performed by unmanned aerial vehicles. A syntactic algorithm of a two-dimensional object vectorization and recognition is proposed. An algorithm of two-dimensional map recognition has been introduced as well. The algorithms have been tested by using both artificial data and real data – the satellite image. They have turned out to be effective.