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An automatic approach for the typification of façade structures
Department of Cartography, Technical University of Munich.
KTH, Skolan för arkitektur och samhällsbyggnad (ABE), Samhällsplanering och miljö, Geoinformatik och Geodesi.
Department of Cartography, Technical University of Munich.
(engelsk)Inngår i: ISPRS journal of photogrammetry and remote sensing (Print), ISSN 0924-2716, E-ISSN 1872-8235Artikkel i tidsskrift (Annet vitenskapelig) Submitted
Abstract [en]

Typification is a well-established operator of map generalization. Although it is widely used in many existing research fields, less discussion has been devoted to the quality of typification. This paper presents a user survey for the evaluation of different typification results of façade structures under different constraints. The survey shows that preservation of the shape of the features is the most important constraint for a reasonable typification process, which has also been quantitatively verified by calculating the similarities between the typified façades and the original façade using attributed relational graph (ARG) and nested earth mover’s distance (NEMD) algorithms. Based on that, an algorithm is developed to generate perceivably reasonable representation from the original facade with decreasing map scale. The algorithm is implemented and tested on a number of façades. Experiments reveal that the typification can be automatically conducted and can create results which are well associated with the original façades.

HSV kategori
Identifikatorer
URN: urn:nbn:se:kth:diva-24708OAI: oai:DiVA.org:kth-24708DiVA, id: diva2:352946
Merknad
QS 2010 QS 20120326Tilgjengelig fra: 2010-09-23 Laget: 2010-09-23 Sist oppdatert: 2017-12-12bibliografisk kontrollert
Inngår i avhandling
1. Visualisation and Generalisation of 3D City Models
Åpne denne publikasjonen i ny fane eller vindu >>Visualisation and Generalisation of 3D City Models
2010 (engelsk)Licentiatavhandling, med artikler (Annet vitenskapelig)
Abstract [en]

3D city models have been widely used in different applications such as urban planning, traffic control, disaster management etc. Effective visualisation of 3D city models in various scales is one of the pivotal techniques to implement these applications. In this thesis, a framework is proposed to visualise the 3D city models both online and offline using City Geography Makeup Language (CityGML) and Extensible 3D (X3D) to represent and present the models. Then, generalisation methods are studied and tailored to create 3D city scenes in multi-scale dynamically. Finally, the quality of generalised 3D city models is evaluated by measuring the visual similarity from the original models.

 

In the proposed visualisation framework, 3D city models are stored in CityGML format which supports both geometric and semantic information. These CityGML files are parsed to create 3D scenes and be visualised with existing 3D standard. Because the input and output in the framework are all standardised, it is possible to integrate city models from different sources and visualise them through the different viewers.

 

Considering the complexity of the city objects, generalisation methods are studied to simplify the city models and increase the visualisation efficiency. In this thesis, the aggregation and typification methods are improved to simplify the 3D city models.

 

Multiple representation data structures are required to store the generalisation information for dynamic visualisation. One of these is the CityTree, a novel structure to represent building group, which is tested for building aggregation. Meanwhile, Minimum Spanning Tree (MST) is employed to detect the linear building group structures in the city models and they are typified with different strategies. According to the experiments results, by using the CityTree, the generalised 3D city model creation time is reduced by more than 50%.

 

Different generalisation strategies lead to different outcomes. It is important to evaluate the quality of the generalised models. In this thesis a new evaluation method is proposed: visual features of the 3D city models are represented by Attributed Relation Graph (ARG) and their similarity distances are calculated with Nested Earth Mover’s Distance (NEMD) algorithm. The calculation results and user survey show that the ARG and NEMD methods can reflect the visual similarity between generalised city models and the original ones.

sted, utgiver, år, opplag, sider
Stockholm: KTH, 2010. s. x, 60
Serie
Trita-SOM , ISSN 1653-6126 ; 2010:8
Emneord
3D city models, Visualisation, CityGML, X3D, Generalisation, Aggregation, Typification, Quality evaluation
HSV kategori
Forskningsprogram
SRA - E-vetenskap (SeRC)
Identifikatorer
urn:nbn:se:kth:diva-24345 (URN)978-91-7415-715-4 (ISBN)
Presentation
2010-09-10, Seminarierum 4055, Drottning Kristinas väg 30, KTH, Stockholm, 10:00 (engelsk)
Opponent
Veileder
Prosjekter
ViSuCity Project
Forskningsfinansiär
Swedish e‐Science Research Center
Merknad
QC 20100923Tilgjengelig fra: 2010-09-23 Laget: 2010-09-02 Sist oppdatert: 2018-01-12bibliografisk kontrollert

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