Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-1/W3, 91-95, 2013
http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-1-W3/91/2013/
doi:10.5194/isprsarchives-XL-1-W3-91-2013
© Author(s) 2013. This work is distributed
under the Creative Commons Attribution 3.0 License.
 
24 Sep 2013
INTRODUCING AN AGENT-BASED OBJECT RECOGNITION OPERATOR FOR PROXIMITY ANALYSIS
S. Behzadi and A. Ali. Alesheikh GIS Dept., Faculty of Geodesy and Geomatics Eng., K.N. Toosi University of Technology, Tehran, Iran
Keywords: Geographic Information System (GIS), Agent based model, Geometric buffer, Proximity analysis Abstract. 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.
Conference paper (PDF, 744 KB)


Citation: Behzadi, S. and Ali. Alesheikh, A.: INTRODUCING AN AGENT-BASED OBJECT RECOGNITION OPERATOR FOR PROXIMITY ANALYSIS, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-1/W3, 91-95, doi:10.5194/isprsarchives-XL-1-W3-91-2013, 2013.

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