This paper performed a systematic review of the various machine learning (ML) techniques
applied to assess the health condition of heritage buildings. More robust predictive models …

Archaeological and cultural heritage (ACH), one of the core carriers of cultural diversity on
our planet, has a direct bearing on the sustainable development of mankind. Documenting …

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

Computer-aided methods for the automatic detection of archaeological objects are needed
to cope with the ever-growing set of largely digital and easily available remotely sensed …

The existing cultural heritage mapping in Norway is incomplete. Some selected areas are
mapped well, while the majority of areas only contain chance discoveries, often with bad …

Although the history of automated archaeological object detection in remotely sensed data is
short, progress and emerging trends are evident. Among them, the shift from rule-based …

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 …

Due to complicated backgrounds and unclear target orientation, automated object detection
is difficult in the field of archaeology. Most of the current convolutional neural network (CNN) …

Archaeological 3D GIS provides archaeologists with a guide to explore and understand the
unprecedented opportunities for collecting, visualising, and analysing archaeological …