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Open AccessArticle

Accuracy Assessment of 3D Photogrammetric Models from an Unmanned Aerial Vehicle

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Department of Civil Engineering, University of Salerno, 132, 84084 Fisciano (Salerno), Italy
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Department of Civil, Chemical, Environmental and Materials Engineering, University of Bologna, 33, 40126 Bologna, Italy
3
Delta Regional Faculty, National Technological University, C1041AAJ Campana (Buenos Aires), Argentina
*
Author to whom correspondence should be addressed.
Drones 2019, 3(4), 79; https://doi.org/10.3390/drones3040079
Received: 11 September 2019 / Revised: 10 October 2019 / Accepted: 11 October 2019 / Published: 15 October 2019
The unmanned aerial vehicle (UAV) photogrammetric survey of an archaeological site has proved itself to be particularly efficient. In order to obtain highly accurate and reliable results, it is necessary to design carefully the flight plan and the geo-referencing, while also evaluating the indicators of the accuracy rate. Using as a test case a UAV photogrammetric survey conducted on the archaeological site of the Roman Amphitheatre of Avella (Italy), in this paper, we propose a pipeline to assess the accuracy of the results according to some quality indicators. The flight configuration and the georeferencing chosen is then be checked via the residuals on the ground control points (GCPs), evenly distributed on the edges and over the entire area. With the aim of appraising the accuracy of the final model, we will suggest a method for the outlier detection, taking into account the statistical distribution (both global and of portion of the study object) of the reprojection errors. A filter to reduce the noise within the model will then be implemented through the detection of the angle formed by homologous rays, in order to reach a compromise between the number of the usable points and the reduction of the noise linked to the definition of the 3D model. View Full-Text
Keywords: UAV; photogrammetry; archaeology; accuracy; point cloud; reprojection errors UAV; photogrammetry; archaeology; accuracy; point cloud; reprojection errors
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MDPI and ACS Style

Barba, S.; Barbarella, M.; Di Benedetto, A.; Fiani, M.; Gujski, L.; Limongiello, M. Accuracy Assessment of 3D Photogrammetric Models from an Unmanned Aerial Vehicle. Drones 2019, 3, 79.

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