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From Sub-optimal Datasets to a Citygml-compliant 3D City Model: Experiences from Trento, Italy : Volume Xl-4, Issue 1 (23/04/2014)

By Agugiaro, G.

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Book Id: WPLBN0004015009
Format Type: PDF Article :
File Size: Pages 7
Reproduction Date: 2015

Title: From Sub-optimal Datasets to a Citygml-compliant 3D City Model: Experiences from Trento, Italy : Volume Xl-4, Issue 1 (23/04/2014)  
Author: Agugiaro, G.
Volume: Vol. XL-4, Issue 1
Language: English
Subject: Science, Isprs, International
Collections: Periodicals: Journal and Magazine Collection (Contemporary), Copernicus Publications
Historic
Publication Date:
2014
Publisher: Copernicus Publications, Göttingen, Germany
Member Page: Copernicus Publications

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Agugiaro, G. (2014). From Sub-optimal Datasets to a Citygml-compliant 3D City Model: Experiences from Trento, Italy : Volume Xl-4, Issue 1 (23/04/2014). Retrieved from http://ebook2.worldlibrary.net/


Description
Description: 3D Optical Metrology Unit, Bruno Kessler Foundation, Trento, Italy. More and more cities are moving towards the creation and adoption of three-dimensional virtual city models as a means for data integration, harmonisation and storage. To this purpose, CityGML is an international standard conceived specifically as information and data model for semantic city models at urban and territorial scale. The automatic building reconstruction process, up to the Level of Detail 2 (LoD2) can be achieved nowadays nearly completely automatically and with a high degree of accuracy, provided that high quality input data (e.g. a dense DSM obtained from LiDAR or dense stereo-matching with 10÷15 pt/m2 or better) are provided. This paper deals indeed with the creation of a CityGML-compliant, LoD2 city model starting from sub-optimal datasets and tries to address some of the issues tied with the use of sub-standard data – which however, represents a quite common case in “real life”. As study area, a part of the city of Trento, in the northern Alpine region of Italy, was chosen and contains about 2300 buildings of different typology, use and construction year. Only existing datasets were gathered and used.

Summary
From sub-optimal datasets to a CityGML-compliant 3D city model: experiences from Trento, Italy


 

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