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Proceedings Paper

Action cameras and low-cost aerial vehicles in archaeology
Author(s): M. Ballarin; C. Balletti; F. Guerra
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Paper Abstract

This research is focused on the analysis of the potential of a close range aerial photogrammetry system, which is accessible both in economic terms and in terms of simplicity of use. In particular the Go Pro Hero3 Black Edition and the Parrot Ar. Drone 2.0 were studied. There are essentially two limitations to the system and they were found for both the instruments used. Indeed, the frames captured by the Go Pro are subject to great distortion and consequently pose numerous calibration problems. On the other hand, the limitation of the system lies in the difficulty of maintaining a flight configuration suitable for photogrammetric purposes in unfavourable environmental conditions. The aim of this research is to analyse how far the limitations highlighted can influence the precision of the survey and consequent quality of the results obtained. To this end, the integrated GoPro and Parrot system was used during a survey campaign on the Altilia archaeological site, in Molise. The data obtained was compared with that gathered by more traditional methods, such as the laser scanner. The system was employed in the field of archaeology because here the question of cost often has a considerable importance and the metric aspect is frequently subordinate to the qualitative and interpretative aspects. Herein one of the products of these systems; the orthophoto will be analysed, which is particularly useful in archaeology, especially in situations such as this dig in which there aren’t many structures in elevation present. The system proposed has proven to be an accessible solution for producing an aerial documentation, which adds the excellent quality of the result to metric data for which the precision is known.

Paper Details

Date Published: 21 June 2015
PDF: 15 pages
Proc. SPIE 9528, Videometrics, Range Imaging, and Applications XIII, 952813 (21 June 2015); doi: 10.1117/12.2184692
Show Author Affiliations
M. Ballarin, Univ. Iuav di Venezia (Italy)
C. Balletti, Univ. Iuav di Venezia (Italy)
F. Guerra, Univ. Iuav di Venezia (Italy)

Published in SPIE Proceedings Vol. 9528:
Videometrics, Range Imaging, and Applications XIII
Fabio Remondino; Mark R. Shortis, Editor(s)

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