Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/7324
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dc.contributorDepartment of Land Surveying and Geo-Informatics-
dc.creatorCheng, P-
dc.creatorShi, W-
dc.creatorGong, J-
dc.creatorZhou, G-
dc.date.accessioned2015-11-10T08:32:48Z-
dc.date.available2015-11-10T08:32:48Z-
dc.identifier.issn1009-5020-
dc.identifier.urihttp://hdl.handle.net/10397/7324-
dc.language.isoenen_US
dc.publisherTaylor & Francis Asia Pacific (Singapore)en_US
dc.rights© 2005 中国学术期刊电子杂志出版社。本内容的使用仅限于教育、科研之目的。en_US
dc.rights© 2005 China Academic Journal Electronic Publishing House. It is to be used strictly for educational and research use.en_US
dc.subjectGISen_US
dc.subjectQTPVen_US
dc.subjectData modelen_US
dc.subjectAlgorithmsen_US
dc.subjectVisualizationen_US
dc.subjectSubsurface engineeringen_US
dc.titleQTPV data model and algorithm and its application to geological exploration engineeringen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage67-
dc.identifier.epage71-
dc.identifier.volume8-
dc.identifier.issue1-
dcterms.abstractD spatial data model and simulating are the core of 3D GIS can be adopted in different domains. A data model based on Quasi Tri-Prism Volume (QTPV) has been proposed. QTPV definition and its special cases have been discussed. Using QTPV and its special cases, irregular natural geological bodies and regular subsurface engineering can be described efficiently. The proposed model is composed of five primitives and six objects. Data structures and topological relationship of the fives primitives and... 更多-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationGeo-spatial information science (地球空间信息科学学报), Mar. 2005, v. 8, no. 1, p. 64-71-
dcterms.isPartOfGeo-spatial information science (地球空间信息科学学报)-
dcterms.issued2005-
dc.identifier.eissn1993-5153-
dc.identifier.rosgroupidr25293-
dc.description.ros2004-2005 > Academic research: refereed > Publication in refereed journal-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_IR/PIRAen_US
dc.description.pubStatusPublisheden_US
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