INTRODUCING AN AGENT-BASED OBJECT RECOGNITION OPERATOR FOR PROXIMITY ANALYSIS

Behzadi, S.; Ali. Alesheikh, A.

Object selection is a basic procedure in a Geographic Information System (GIS). Most current methods for doing so, select objects in two phases: create a simple distance-bounded geometric buffer; and intersect it with available features. This paper introduces a novel and intelligent selection operator based on the autonomy of the agent-based approach. The proposed operator recognizes objects around one object only in one step. In the proposed approach, each point object acts as an agent-automata object. It then senses its vicinity and identifies the surrounding objects. To assess the proposed model, the operator is designed, implemented, and evaluated in a case study. Finally, the results are evaluated and presented in details in the paper.

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Behzadi, S. / Ali. Alesheikh, A.: INTRODUCING AN AGENT-BASED OBJECT RECOGNITION OPERATOR FOR PROXIMITY ANALYSIS. 2013. Copernicus Publications.

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Rechteinhaber: S. Behzadi

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