In this paper, we report the results of our work on automated detection of qanat shafts on the
Cold War-era CORONA Satellite Imagery. The increasing quantity of air and space-borne …

This communication article provides a call for unmanned aerial vehicle (UAV) users in
archaeology to make imagery data more publicly available while developing a new …

Creating a quantitative overview over the early Iron Age heritage of the Eurasian steppes is
a difficult task due to the vastness of the ecological zone and the often problematic access …

Over the last few years, archaeologist have started to look at automated object detection for
searching of potential historical sites, using object identification methods that includes …

Thanks to recent advances in deep learning (DL) and the increasing availability of large
labeled/annotated datasets and trained network models, there has been impressive …

The detection of deterioration in archeological heritage sites is a very time-consuming task
that requires expertise. Furthermore, vision-based approaches can cause errors …

This work explores the combination of free cloud computing, free open-source software, and
deep learning methods to analyze a real, large-scale problem: the automatic country-wide …

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 …

This paper exploits the use of a popular deep learning model-the faster-RCNN-to support
automatic terrain feature detection and classification using a mixed set of optimal remote …

Mapping surface ceramics through systematic pedestrian archaeological survey is
considered a consistent method to recover the cultural biography of sites within a micro …