Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/5196
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dc.contributorDepartment of Land Surveying and Geo-Informatics-
dc.creatorZhang, L-
dc.creatorGuilbert, E-
dc.date.accessioned2014-12-11T08:26:10Z-
dc.date.available2014-12-11T08:26:10Z-
dc.identifier.isbn978-988-17311-6-6-
dc.identifier.urihttp://hdl.handle.net/10397/5196-
dc.descriptionThe 3rd International Postgraduate Conference on Infrastructure and Environment is organized by the Faculty of Construction & Land Use of The Hong Kong Polytechnic University on 11 and 12 July 2011 in Hong Kong.en_US
dc.language.isoenen_US
dc.publisherFaculty of Construction and Land Use, Hong Kong Polytechnic Universityen_US
dc.rights© 2011 Faculty of Construction and Land Use, The Hong Kong Polytechnic University.en_US
dc.subjectMap generalizationen_US
dc.subjectDendritic river networken_US
dc.subjectAverage directionen_US
dc.subjectRiver flowen_US
dc.subjectMain streamen_US
dc.titleAutomatic construction of structured dentritic river networksen_US
dc.typeConference Paperen_US
dc.description.otherinformationAuthor name used in this publication: E. Guilberten_US
dc.description.otherinformationRefereed conference paperen_US
dcterms.abstractThe automated map generalization is always a challenging work in Geographical Information System (GIS). Regarded as terrain skeleton, drainage system should be considered in research on automated map generalization in the first place. Further, as the most important component of drainage system, generalization of rivers properly becomes a focal point. On land, rivers always connect together in networks, and most of these networks form tree structures. As a set of line features, river networks are generalized from large scale to small scale by two main steps: selective omission and selected rivers simplification. Before these steps, the structured dendritic river networks should be constructed. This paper puts forward an improved method of average direction based on angle of river network connections to detect the river flow and the main stream, and then create a data structure to store the topology relations of tributaries in the river networks. Eventually, the paper gives a comparative analysis with existed methods on river flow detecting and topology relation building.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationProceedings : 3rd International Postgraduate Conference on Infrastructure and Environment, v. 1, p. 584-591-
dcterms.issued2011-07-
dc.identifier.rosgroupidr59219-
dc.description.ros2011-2012 > Academic research: refereed > Refereed conference paper-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_IR/PIRAen_US
dc.description.pubStatusPublisheden_US
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