Title :
Study on multi-temporal vector-spatial object matching methods based on fuzzy theory
Author_Institution :
Sch. of Econ. & Manage., China Univ. of Geosci., Wuhan, China
Abstract :
On the basis of researching status of spatial objects matching method, this paper analyzed the problems of spatial objects matching, explored a new way that used the fuzzy theories and methods systemically, built the fuzzy feature model which could express natural geographical phenomena more accurately, and formed fuzzy expressions which more closer to the spatial features characteristics. This paper researched the spatial ontology matching on the foundation of fuzzy feature model, for the purpose of forming a set of new theory and method of multi-temporal spatial objects matching based on fuzzy theory-driven, obtaining more accurate and high-quality matching results, and serving the incremental update of basic geographic data and spatial data integration more effectively.
Keywords :
fuzzy set theory; geographic information systems; ontologies (artificial intelligence); pattern matching; visual databases; basic geographic data; fuzzy expressions; fuzzy feature model; fuzzy theory; multitemporal vector-spatial object matching methods; natural geographical phenomena; spatial data integration; spatial databases; spatial ontology matching; Analytical models; Educational institutions; Reliability theory; Semantics; Support vector machine classification; Uncertainty; Fuzzy Matching; Fuzzy Theory; Multi-temporal; Similarities; Spatial Objects Matching;
Conference_Titel :
Communication Software and Networks (ICCSN), 2011 IEEE 3rd International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-61284-485-5
DOI :
10.1109/ICCSN.2011.6014340
