The documentation and protection of archaeological and cultural heritage (ACH) using
remote sensing, a non-destructive tool, is increasingly popular for experts around the world …

Over the last decade, we have witnessed momentous technological developments in
unmanned aircraft systems (UAS) and in lightweight sensors operating at various …

Machine learning (ML) is rapidly being adopted by archaeologists interested in analyzing a
range of geospatial, material cultural, textual, natural, and artistic data. The algorithms are …

The Persian Qanats, ancient underground aqueduct systems that have provided irrigation
water to arid regions in Iran for over 3000 years, are recognized as a vital element of the …

This paper presents an algorithm for large-scale automatic detection of burial mounds, one
of the most common types of archaeological sites globally, using LiDAR and multispectral …

Abstract In Sumba Island–Indonesia, the implantation of vernacular houses, inside and
outside traditional villages, is considered to be an efficient proxy for the on-going complex …

This paper presents WODAN2. 0, a workflow using Deep Learning for the automated
detection of multiple archaeological object classes in LiDAR data from the Netherlands …

In our study, we set out to collect a multimodal annotated dataset for remote sensing of Maya
archaeology, that is suitable for deep learning. The dataset covers the area around Chactún …

Abstract In the mid-Holocene (5000-3000 cal BP), Native American groups constructed shell
rings, a type of circular midden, in coastal areas of the American Southeast. These deposits …

Until recently, archeological prospection using LiDAR data was based mainly on
expertbased and time-consuming visual analyses. Currently, deep learning convolutional …