Geert J. Verhoeven

PhD Archaeology



University of Vienna

Franz-Klein-Gasse 1
Room A5.04 (5th floor)
1190 Vienna
Austria



Computer vision-based orthophoto mapping of complex archaeological sites: the ancient quarry of Pitaranha (Portugal-Spain)


Journal article


Geert J. Verhoeven, Devi Taelman, Frank Vermeulen
Archaeometry, vol. 54(6), 2012, pp. 1114-1129


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APA   Click to copy
Verhoeven, G. J., Taelman, D., & Vermeulen, F. (2012). Computer vision-based orthophoto mapping of complex archaeological sites: the ancient quarry of Pitaranha (Portugal-Spain). Archaeometry, 54(6), 1114–1129. https://doi.org/10.1111/j.1475-4754.2012.00667.x


Chicago/Turabian   Click to copy
Verhoeven, Geert J., Devi Taelman, and Frank Vermeulen. “Computer Vision-Based Orthophoto Mapping of Complex Archaeological Sites: the Ancient Quarry of Pitaranha (Portugal-Spain).” Archaeometry 54, no. 6 (2012): 1114–1129.


MLA   Click to copy
Verhoeven, Geert J., et al. “Computer Vision-Based Orthophoto Mapping of Complex Archaeological Sites: the Ancient Quarry of Pitaranha (Portugal-Spain).” Archaeometry, vol. 54, no. 6, 2012, pp. 1114–29, doi:10.1111/j.1475-4754.2012.00667.x.


BibTeX   Click to copy

@article{verhoeven2012a,
  title = {Computer vision-based orthophoto mapping of complex archaeological sites: the ancient quarry of Pitaranha (Portugal-Spain)},
  year = {2012},
  issue = {6},
  journal = {Archaeometry},
  pages = {1114-1129},
  volume = {54},
  doi = {10.1111/j.1475-4754.2012.00667.x},
  author = {Verhoeven, Geert J. and Taelman, Devi and Vermeulen, Frank}
}

Abstract
Ancient quarries are intriguing archaeological sites, but their detailed recording is complex. This paper presents a cost-effective approach to mapping of the Roman quarry site of Pitaranha (Portugal–Spain). First, aerial photographs were acquired using a radio-controlled digital reflex camera attached to a Helikite, which allowed the acquisition of the necessary low-altitude aerial footage in the very unstable wind conditions above the quarry. Using computer vision algorithms, the resulting set of photographs was semi-automatically transformed into a Digital Surface Model (DSM) and a corresponding orthophotograph. Besides focusing on the acquisition and processing method, this paper evaluates the accuracy of the generated products. The orthophotograph proved to be satisfactorily accurate for 1:200 hard-copy mapping.

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