One of the main challenges of underwater archaeology is to develop non-invasive research of heritage sites in order to enable their further protection for future societies. This study explores, identifies and classifies archaeological objects in a shallow lake using underwater acoustics. We solved the aforementioned challenges by developing an innovative, object-based, fuzzy-logic classification of nine archaeological object categories based on multibeam echosounder bathymetry, 13 secondary features of bathymetry and 106 underwater diving prospections. We achieved an 86% correlation with ground-truth samples, and 49% overall accuracy. The unique and repeatable workflow developed in this study can be applied to other case studies of underwater archaeology around the world.

中文翻译：

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从声学到水下考古：使用高分辨率水声学对浅湖进行深入调查——以波兰莱德尼察湖为例

水下考古的主要挑战之一是对遗产地进行非侵入性研究，以便为未来社会提供进一步保护。本研究使用水下声学探索、识别和分类浅湖中的考古对象。我们通过开发基于多波束测深仪水深测量、水深测量的 13 个次要特征和 106 次水下潜水勘探的九个考古对象类别的创新、基于对象的模糊逻辑分类来解决上述挑战。我们实现了与真实样本的 86% 相关性和 49% 的总体准确率。本研究中开发的独特且可重复的工作流程可应用于世界各地的其他水下考古案例研究。