The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLIII-B2-2021
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2021, 831–838, 2021
https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-831-2021
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2021, 831–838, 2021
https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-831-2021

  28 Jun 2021

28 Jun 2021

HBIM MODELLING FOR AN HISTORICAL URBAN CENTRE

M. Avena1, E. Colucci2, G. Sammartano1,3, and A. Spanò1,3 M. Avena et al.
  • 1Department of Architecture and Design (DAD), Polytechnic University of Turin, 10125 Turin, Italy
  • 2Department of Environmental, Land and Infrastructure Engineering (DIATI), Polytechnic University of Turin, 10125 Turin, Italy
  • 3Polito FULL | the Future Urban Legacy Lab, Toolbox coworking, Polytechnic University of Turin, 10134 Torino, Italy

Keywords: HBIM, Parametric modelling, multi-sensor 3D survey, UAV clouds, clouds segmentation, urban heritage, GIS-BIM visualisation

Abstract. The research in the geospatial data structuring and formats interoperability direction is the crucial task for creating a 3D Geodatabase at the urban scale. Both geometric and semantic data structuring should be considered, mainly regarding the interoperability of objects and formats generated outside the geographical space. Current reflections on 3D database generation, based on geospatial data, are mostly related to visualisation issues and context-related application. The purposes and scale of representation according to LoDs require some reflections, particularly for the transmission of semantic information.

This contribution adopts and develops the integration of some tools to derive object-oriented modelling in the HBIM environment, both at the urban and architectural scale, from point clouds obtained by UAV (Unmanned Aerial Vehicle) photogrammetry.

One of the paper’s objectives is retracing the analysis phases of the point clouds acquired by UAV photogrammetry technique and their suitability for multiscale modelling. Starting from UAV clouds, through the optimisation and segmentation, the proposed workflow tries to trigger the modelling of the objects according to the LODs, comparing the one coming from CityGML and the one in use in the BIM community. The experimentation proposed is focused on the case study of the city of Norcia, which like many other historic centres spread over the territory of central Italy, was deeply damaged by the 2016-17 earthquake.