This paper outlines a multi-stage method to improve historic building information modelling (HBIM) projects using unmanned aerial vehicle (UAV) based photogrammetry data. The digital reconstruction of semantic models is based on the application of novel grades of generation (GOG) and the integration of data coming from the use of different type of drones, with which it is possible to improve the level of detail (LOD) and information (LOI) of different types of architectural elements, supporting the conservation process of two complex heritage buildings of international interest.
Drone meets Historic Building Information Modelling (HBIM): Unmanned Aerial Vehicle (UAV) photogrammetry for multi-resolution semantic models
Fabrizio Banfi
2020-01-01
Abstract
This paper outlines a multi-stage method to improve historic building information modelling (HBIM) projects using unmanned aerial vehicle (UAV) based photogrammetry data. The digital reconstruction of semantic models is based on the application of novel grades of generation (GOG) and the integration of data coming from the use of different type of drones, with which it is possible to improve the level of detail (LOD) and information (LOI) of different types of architectural elements, supporting the conservation process of two complex heritage buildings of international interest.File in questo prodotto:
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