Abstract
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.
Originalsprache | Englisch |
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Titel | International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
Redakteure/-innen | J. Jiang, H. Zhang |
Seitenumfang | 7 |
Publikationsstatus | Veröffentlicht - 2014 |
Veranstaltung | ISPRS Technical Commission IV Symposium - Dauer: 14 Mai 2014 → 16 Mai 2014 |
Konferenz
Konferenz | ISPRS Technical Commission IV Symposium |
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Zeitraum | 14/05/14 → 16/05/14 |
Research Field
- Ehemaliges Research Field - Energy
Schlagwörter
- Data integration
- 3D Virtual city model
- CityGML