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Titel:

CityGML and the streets of New York - A proposal for detailed street space modelling

Dokumenttyp:
Konferenzbeitrag
Art des Konferenzbeitrags:
Textbeitrag / Aufsatz
Autor(en):
Beil, Christof; Kolbe, Thomas H.
Seitenangaben Beitrag:
9-16
Abstract:
Three-dimensional semantic city models are increasingly used for the analysis of large urban areas. Until now the focus has mostly been on buildings. Nonetheless many applications could also benefit from detailed models of public street space for further analysis. However, there are only few guidelines for representing roads within city models. Therefore, related standards dealing with street modelling are examined and discussed. Nearly all street representations are based on linear abstractions...     »
Stichworte:
GISPro_CityGML; GISPro_NYC; GISPro_3DCityDB; GISTop_CityModeling; LOCenter; LOCTop_Data_generation_and_object_reconstruction; LOCTop_Urban_Information_Modeling_Virtual_3D_City_Model
Herausgeber:
Kalantari, Mohsen; Rajabifard, Abbas
Kongress- / Buchtitel:
Proceedings of the 12th International 3D GeoInfo Conference 2017
Band / Teilband / Volume:
IV-4/W5
Ausrichter der Konferenz:
University of Melbourne
Verlag / Institution:
ISPRS
Publikationsdatum:
26.10.2017
Jahr:
2017
Nachgewiesen in:
Scopus; Web of Science
Serientitel:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Reviewed:
ja
Sprache:
en
Volltext / DOI:
doi:10.5194/isprs-annals-IV-4-W5-9-2017
WWW:
https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/IV-4-W5/9/2017/
Hinweise:
This paper has received the 2nd Best Paper Award.
TUM Einrichtung:
Lehrstuhl für Geoinformatik
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