Volume XLII-2/W11
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W11, 489-494, 2019
https://doi.org/10.5194/isprs-archives-XLII-2-W11-489-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W11, 489-494, 2019
https://doi.org/10.5194/isprs-archives-XLII-2-W11-489-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

  04 May 2019

04 May 2019

SCAN PLANNING OPTIMIZATION FOR OUTDOOR ARCHAEOLOGICAL SITES

L. Díaz-Vilariño1, E. Frías1, M. Previtali2, M. Scaioni2, and J. Balado1 L. Díaz-Vilariño et al.
  • 1Applied Geotechnologies Group, Dept. Natural Resources and Environmental Engineering, University of Vigo, Campus Lagoas-Marcosende, CP 36310 Vigo, Spain
  • 2Politecnico di Milano, Department of Architecture, Built Environment and Construction Engineering (DABC), Via Ponzio 31, 20133 Milano, Italy

Keywords: HBIM, scan planning, visibility, spatial analysis, computational geometry, archaeology, heritage reconstruction

Abstract. The protection and management of archaeological sites require from a deep documentation and analysis, and although hand measuring and documentation is the cheapest way for collecting data, laser scanner has been gradually integrated for the geometrical data capture since point clouds have a high quality in terms of accuracy, precision and resolution. Although acquisition with laser scanner is considered a quick process, scan planning is of high relevance when considering outdoor archaeological sites because of their large size and complexity. In this paper, an automatic methodology to optimize the number and position of scans in order to obtain a point cloud of high quality in terms of data completeness is proposed. The aim of the methodology is to minimize the number of scans, minimizing at the same time the estimated surveying time and the amount of repetitive acquired data. Scan candidates are generated by using a grid-based and a triangulation-based distribution, and results show a faster analysis when triangulation is implemented. The methodology is tested into two real case studies from Italy and Spain, showing the applicability of scan planning in archaeological sites.