Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B5, 413-420, 2016
15 Jun 2016
F. Chiabrando1, V. Di Pietra2, A. Lingua2, P. Maschio2, F. Noardo2, G. Sammartano1, and A. Spanò1 1Politecnico di Torino, of Architecture and Design, Viale Mattioli 39, 10125, Torino, Italy
2Politecnico di Torino, Department of Environment, Land and InfrastructureEngineering, c. Duca degli Abruzzi 24, 10129, Torino, Italy
Keywords: TLS, UAV photogrammetry, 3D modelling, techniques fusion, data fusion, Alpine Heritage Abstract. (TLS, Terrestrial Laser Scanning), and large scale mapping derived by UAV (Unmanned Aerial Vehicle) survey. This paper refers an example of 3D survey and reality based modelling applied on landscape and architectural assets. The choice of methods for documentation, in terms of survey techniques, depends primarily on issues and features of the area.

The achieved experience, allow to consider that the easy handling of TLS has enabled the use in limited spaces among buildings and collapsed roofs, but the topographic measure of GCPs (Ground Control Points), neither by total station nor by GPS/RTK technique, was easily feasible. Even more than proving the ability of the integration of TLS and UAV photogrammetry to achieve a multi-source and multi-scale whole model of a village, the experience has been a test to experiment the registration of terrestrial clouds with the support of control points derived by UAV survey and finally, a comparison among different strategies of clouds registration is reported. Analysing for each approach a number of parameters (number of clouds registration, number of needed points, processing time, overall accuracy) the further comparisons have been achieved.

The test revealed that it is possible to decrease the large number of terrestrial control points when their determination by topographical measures is difficult, and it is possible to combine the techniques not only for the integration of the final 3Dmodel, but also to solve and make the initial stage of the drafting process more effective.

Conference paper (PDF, 2808 KB)

Citation: Chiabrando, F., Di Pietra, V., Lingua, A., Maschio, P., Noardo, F., Sammartano, G., and Spanò, A.: TLS MODELS GENERATION ASSISTED BY UAV SURVEY, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B5, 413-420, doi:10.5194/isprs-archives-XLI-B5-413-2016, 2016.

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