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 …

Managing, protecting, and the evolutionary development of historical landscapes require
robust frameworks and processes for forming datasets and advanced decision support tools …

Abstract The application of Machine Learning (ML) to Cultural Heritage (CH) has evolved
since basic statistical approaches such as Linear Regression to complex Deep Learning …

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 …

Historical maps present a unique depiction of past landscapes, providing evidence for a
wide range of information such as settlement distribution, past land use, natural resources …

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 …

Archaeology has been profoundly transformed by the advent of airborne laser scanning
(ALS) technology (aka airborne LiDAR). High-resolution and high-precision synoptic views …

This paper illustrates the results obtained by using pre-trained semantic segmentation deep
learning models for the detection of archaeological sites within the Mesopotamian …

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

Airborne LiDAR produced large amounts of data for archaeological research over the past
decade. Labeling this type of archaeological data is a tedious process. We used a data set …