Validating predictions of burial mounds with field data: the promise and reality of machine learning

A Sobotkova, RD Kristensen-McLachlan… - Journal of …, 2024 - emerald.com
Purpose This paper provides practical advice for archaeologists and heritage specialists
wishing to use ML approaches to identify archaeological features in high-resolution satellite …

[HTML][HTML] The Synergy between Artificial Intelligence, Remote Sensing, and Archaeological Fieldwork Validation

D Canedo, J Hipólito, J Fonte, R Dias, T do Pereiro… - Remote Sensing, 2024 - mdpi.com
The increasing relevance of remote sensing and artificial intelligence (AI) for archaeological
research and cultural heritage management is undeniable. However, there is a critical gap …

Evaluating R-CNN and YOLO V8 for Megalithic Monument Detection in Satellite Images

D Marçal, A Câmara, J Oliveira… - … on Computational Science, 2024 - Springer
Over recent years, archaeologists have started to use object detection methods in satellite
images to search for potential archaeological sites. Within image object recognition, due to …

[PDF][PDF] Odyssey: A Spatial Data Infrastructure for Archaeology

R Sá, LJ Gonçalves, J Medina, A Neves, F Marsh… - …, 2024 - researchgate.net
Geospatial data acquisition methods like airborne LiDAR allow for obtaining large volumes
of data, such as aerial and satellite imagery, which are increasingly being used in …

Object detection of megalithic dolmens in Google Satellite imagery

DAB Marçal - 2023 - repositorio.iscte-iul.pt
The detection of dolmens, ancient megalithic structures, holds significant human and
archaeological importance. We address the challenge of automating dolmen detection in the …

Benchmark aplicado à Deteção de Objetos de Mamoas Arqueológicas a partir de dados LiDAR

MRVB da Silva - 2023 - search.proquest.com
Human history and its archaeological evidence are priceless and should be preserved,
esteemed and respected. However, the traditional work of an archaeologist is mainly …