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Medientyp:
E-Artikel
Titel:
INTRODUCING AN AGENT-BASED OBJECT RECOGNITION OPERATOR FOR PROXIMITY ANALYSIS
Beteiligte:
Behzadi, S.;
Ali. Alesheikh, A.
Erschienen:
Copernicus GmbH, 2013
Erschienen in:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XL-1/W3 (2013), Seite 91-95
Sprache:
Englisch
DOI:
10.5194/isprsarchives-xl-1-w3-91-2013
ISSN:
2194-9034
Entstehung:
Anmerkungen:
Beschreibung:
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.