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dc.contributor.authorDacey, Simon
dc.contributor.authorSong, Lei
dc.contributor.authorPang, Shaoning
dc.description.abstractLand management and planning is essential to assist the economic growth, sustainable resource use and environmental protection of a city. This paper describes a novel approach to automatic encroachment detection to assist in land management decision making. The approach begins with training the agent to identify and understand the land cover/use features (such as buildings, parks, trees and roads) that are predominant in the region of interest, and carries out segmentation on the park data using the intelligent agent developed from the training samples. Experiments on park images from Auckland New Zealand show the effectiveness of the proposed approach.en_NZ
dc.publisherAsia Pacific Neural Network Assembly (APNNA)en_NZ
dc.subjectland managementen_NZ
dc.subjecturban planningen_NZ
dc.subjectencroachment detectionen_NZ
dc.subjectintelligent agentsen_NZ
dc.titleAn intelligent agent based land encroachment detection approachen_NZ
dc.typeConference Contribution - Paper in Published Proceedingsen_NZ
dc.rights.holderAsia Pacific Neural Network Assembly (APNNA)en_NZ
dc.subject.marsden120507 Urban Analysis and Developmenten_NZ
dc.subject.marsden080101 Adaptive Agents and Intelligent Roboticsen_NZ
dc.identifier.bibliographicCitationDacey, S., Song, L. and Pang, S. (2013). An Intelligent Agent Based Land Encroachment Detection Approach. Proceedings in the 20th International Conference on Neural Information Processing, 585-592.en_NZ
unitec.institutionUnitec Institute of Technologyen_NZ
unitec.publication.titleProceedings in the 20th International Conference on Neural Information Processingen_NZ
unitec.conference.titleICONIP 2013 : 20th International Conference on Neural Information Processingen_NZ
unitec.conference.orgAsia Pacific Neural Network Assembly (APNNA)en_NZ
unitec.conference.locationDaegu, South Koreaen_NZ
dc.contributor.affiliationUnitec Institute of Technologyen_NZ

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