CNR-Institute of Heritage Science, 00015 Rome, Italy.
Department of Civil Engineering, University of Salerno, 84084 Fisciano, Italy.
Sensors (Basel). 2023 Mar 2;23(5):2769. doi: 10.3390/s23052769.
Archeological prospection and 3D reconstruction are increasingly combined in large archeological projects that serve both site investigation and dissemination of results. This paper describes and validates a method for using multispectral imagery captured by unmanned aerial vehicles (UAVs), subsurface geophysical surveys, and stratigraphic excavations to evaluate the role of 3D semantic visualizations for the collected data. The information recorded by various methods will be experimentally reconciled using the Extended Matrix and other original open-source tools, keeping both the scientific processes that generated them and the derived data separate, transparent, and reproducible. This structured information makes immediately accessible the required variety of sources useful for interpretation and reconstructive hypotheses. The application of the methodology will use the first available data from a five-year multidisciplinary investigation project at Tres Tabernae, a Roman site near Rome, where numerous non-destructive technologies, as well as excavation campaigns, will be progressively deployed to explore the site and validate the approaches.
考古勘探和 3D 重建越来越多地结合在大型考古项目中,用于遗址调查和结果传播。本文描述并验证了一种使用无人机(UAV)捕获的多光谱图像、地下地球物理调查和地层挖掘来评估 3D 语义可视化在收集数据中的作用的方法。将使用扩展矩阵和其他原始开源工具对各种方法记录的信息进行实验性协调,保持生成它们的科学过程和派生数据的分离、透明和可重复。这种结构化信息使解释和重建假设所需的各种来源变得可立即访问。该方法的应用将使用位于罗马附近的 Tres Tabernae 五年多学科调查项目中的第一批可用数据,该项目将逐步部署多项非破坏性技术以及挖掘活动,以探索该遗址并验证这些方法。