Using of hybrid data acquisition techniques for cultural heritage: A case study of Pompeiopolis

Authors

  • Seda Nur Gamze Hamal
  • Binnaz Sarı
  • Ali Ulvi

Keywords:

TLS, UAV, Photogrammetry, CrF, Hybrid

Abstract

Various studies have been carried out on the documentation of cultural heritage using different methods. The method of collecting correct data is as important as the selection of the method to be used in the studies. Documentation studies focus on saving time and cost rather than the method of collecting data. However, obtaining accurate and complete data will increase the accuracy of the documentation work. In this way, projects prepared as a base for works such as a restoration will be designed correctly. At this point, image-based documentation studies such as photogrammetry provide important contributions to operators. As it is known, the photogrammetry method is basically classified into two as close-range and aerial photogrammetry according to the acquisition position of the image. Although a single data collection tool is preferred in most of the studies with the photogrammetry method, image acquisition from different locations (ground and air) was required for accurate and complete data. Recently, the term UAV photogrammetry has emerged with the use of unmanned aerial vehicles (UAV) in documentation studies. Thus, a complete model is created in documentation studies to be carried out by collecting both local and aerial data. In this study, three different data collection methods were used for documentation. The hybrid data collection approach is presented by selecting laser scanning (TLS) and Close range photogrammetry (CrF) and UAV photogrammetry techniques. The TLS, Crf, and UAV photogrammetry techniques used in the study were processed separately and the accuracy of 0,21-1,1-2,3 cm was calculated respectively. By combining the point clouds created from both data collection methods, 1.2 cm sensitivity was calculated. Finally, three-dimensional (3D) data of Soli-Pompeiopolis were created by combining these point clouds.

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Published

2022-09-09

Issue

Section

Articles