A ROADMAP FOR GENERATING SEMANTICALLY ENRICHED BUILDING MODELS ACCORDING TO CITYGML MODEL VIA TWO DIFFERENT METHODOLOGIES
The methodologies of 3D modeling techniques have increasingly increased due to the rapid advances of new technologies. Nowadays, the focus of 3D modeling software is focused, not only to the finest visualization of the models, but also in their semantic features during the modeling procedure. As a r...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2016-10-01
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| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2-W2/23/2016/isprs-archives-XLII-2-W2-23-2016.pdf |
| _version_ | 1819035508793147392 |
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| author | G. Floros D. Solou I. Pispidikis E. Dimopoulou |
| author_facet | G. Floros D. Solou I. Pispidikis E. Dimopoulou |
| author_sort | G. Floros |
| collection | DOAJ |
| description | The methodologies of 3D modeling techniques have increasingly increased due to the rapid advances of new technologies. Nowadays, the focus of 3D modeling software is focused, not only to the finest visualization of the models, but also in their semantic features during the modeling procedure. As a result, the models thus generated are both realistic and semantically enriched. Additionally, various extensions of modeling software allow for the immediate conversion of the model’s format, via semi-automatic procedures with respect to the user’s scope. The aim of this paper is to investigate the generation of a semantically enriched Citygml building model via two different methodologies. The first methodology includes the modeling in Trimble SketchUp and the transformation in FME Desktop Manager, while the second methodology includes the model’s generation in CityEngine and its transformation in the CityGML format via the 3DCitiesProject extension for ArcGIS. Finally, the two aforesaid methodologies are being compared and specific characteristics are evaluated, in order to infer the methodology that is best applied depending on the different projects’ purposes. |
| first_indexed | 2024-12-21T07:50:45Z |
| format | Article |
| id | doaj.art-0689391dd48343f1a2b2fab97f468dc7 |
| institution | Directory Open Access Journal |
| issn | 1682-1750 2194-9034 |
| language | English |
| last_indexed | 2024-12-21T07:50:45Z |
| publishDate | 2016-10-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| spelling | doaj.art-0689391dd48343f1a2b2fab97f468dc72022-12-21T19:11:05ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342016-10-01XLII-2/W2233210.5194/isprs-archives-XLII-2-W2-23-2016A ROADMAP FOR GENERATING SEMANTICALLY ENRICHED BUILDING MODELS ACCORDING TO CITYGML MODEL VIA TWO DIFFERENT METHODOLOGIESG. Floros0D. Solou1I. Pispidikis2E. Dimopoulou3School of Rural and Surveying Engineering, National Technical University of Athens, 9 Iroon Polytechneiou str, 15780 Zografou, GreeceSchool of Rural and Surveying Engineering, National Technical University of Athens, 9 Iroon Polytechneiou str, 15780 Zografou, GreeceSchool of Rural and Surveying Engineering, National Technical University of Athens, 9 Iroon Polytechneiou str, 15780 Zografou, GreeceSchool of Rural and Surveying Engineering, National Technical University of Athens, 9 Iroon Polytechneiou str, 15780 Zografou, GreeceThe methodologies of 3D modeling techniques have increasingly increased due to the rapid advances of new technologies. Nowadays, the focus of 3D modeling software is focused, not only to the finest visualization of the models, but also in their semantic features during the modeling procedure. As a result, the models thus generated are both realistic and semantically enriched. Additionally, various extensions of modeling software allow for the immediate conversion of the model’s format, via semi-automatic procedures with respect to the user’s scope. The aim of this paper is to investigate the generation of a semantically enriched Citygml building model via two different methodologies. The first methodology includes the modeling in Trimble SketchUp and the transformation in FME Desktop Manager, while the second methodology includes the model’s generation in CityEngine and its transformation in the CityGML format via the 3DCitiesProject extension for ArcGIS. Finally, the two aforesaid methodologies are being compared and specific characteristics are evaluated, in order to infer the methodology that is best applied depending on the different projects’ purposes.http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2-W2/23/2016/isprs-archives-XLII-2-W2-23-2016.pdf |
| spellingShingle | G. Floros D. Solou I. Pispidikis E. Dimopoulou A ROADMAP FOR GENERATING SEMANTICALLY ENRICHED BUILDING MODELS ACCORDING TO CITYGML MODEL VIA TWO DIFFERENT METHODOLOGIES The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| title | A ROADMAP FOR GENERATING SEMANTICALLY ENRICHED BUILDING MODELS ACCORDING TO CITYGML MODEL VIA TWO DIFFERENT METHODOLOGIES |
| title_full | A ROADMAP FOR GENERATING SEMANTICALLY ENRICHED BUILDING MODELS ACCORDING TO CITYGML MODEL VIA TWO DIFFERENT METHODOLOGIES |
| title_fullStr | A ROADMAP FOR GENERATING SEMANTICALLY ENRICHED BUILDING MODELS ACCORDING TO CITYGML MODEL VIA TWO DIFFERENT METHODOLOGIES |
| title_full_unstemmed | A ROADMAP FOR GENERATING SEMANTICALLY ENRICHED BUILDING MODELS ACCORDING TO CITYGML MODEL VIA TWO DIFFERENT METHODOLOGIES |
| title_short | A ROADMAP FOR GENERATING SEMANTICALLY ENRICHED BUILDING MODELS ACCORDING TO CITYGML MODEL VIA TWO DIFFERENT METHODOLOGIES |
| title_sort | roadmap for generating semantically enriched building models according to citygml model via two different methodologies |
| url | http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2-W2/23/2016/isprs-archives-XLII-2-W2-23-2016.pdf |
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