Integrating ontological modelling and Bayesian inference for pattern classification in topographic vector data

Computers, Environment and Urban Systems

Volumn 33, Issue 5, 2009, Pages 363-374

  Lüscher, Patrick ^a   Weibel, Robert ^a   Burghardt, Dirk ^b  

^a UNIVERSITY OF ZURICH   (Switzerland)

^b DRESDEN UNIVERSITY OF TECHNOLOGY   (Germany)

Author keywords

Bayesian network; Building types; Ontology; Pattern recognition; Spatial database enrichment; Supervised classification

Indexed keywords

ALGORITHMIC APPROACH; BAYESIAN INFERENCE; BUILDING TYPES; CLASSIFICATION ACCURACY; CLASSIFICATION RESULTS; DATA SETS; GENERALISATION; LOW LEVEL; ONTOLOGICAL MODELLING; PATTERN CLASSIFICATION; PATTERN RECOGNITION TECHNIQUES; SPATIAL DATABASE; SPATIAL DATABASE ENRICHMENT; SPATIAL MEASURES; SPATIAL PATTERNS; SUPERVISED CLASSIFICATION; TERRACED HOUSE; VECTOR DATA;

BAYESIAN NETWORKS; DATABASE SYSTEMS; DISTRIBUTED PARAMETER NETWORKS; INFERENCE ENGINES; INTEGRATION; INTELLIGENT NETWORKS; MAPPING; MAPS; REUSABILITY; SOIL CONSERVATION; SPEECH RECOGNITION;

ONTOLOGY;

ACCURACY ASSESSMENT; BAYESIAN ANALYSIS; BUILDING; CARTOGRAPHY; DATA SET; DATABASE; GIS; MAP GENERALIZATION; PATTERN RECOGNITION; SPATIAL DATA; TOPOGRAPHIC MAPPING; VECTOR;

EID: 68949212836     PISSN: 01989715     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compenvurbsys.2009.07.005     Document Type: Article

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