[HTML][HTML] Airborne and spaceborne remote sensing for archaeological and cultural heritage applications: A review of the century (1907–2017)

L Luo, X Wang, H Guo, R Lasaponara, X Zong… - Remote sensing of …, 2019 - Elsevier
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 …

[HTML][HTML] A review of artificial intelligence and remote sensing for archaeological research

A Argyrou, A Agapiou - Remote Sensing, 2022 - mdpi.com
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 …

Machine learning arrives in archaeology

SH Bickler - Advances in Archaeological Practice, 2021 - cambridge.org
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 …

[HTML][HTML] The paradox of informal settlements revealed in an ATLAS of informality: Findings from mapping growth in the most common yet unmapped forms of …

J Samper, JA Shelby, D Behary - Sustainability, 2020 - mdpi.com
Informal settlements are the most common form of urbanization on the planet, accounting for
one-third of the total urban form. It is expected that by the mid twenty-first century, up to three …

A modified Mask region‐based convolutional neural network approach for the automated detection of archaeological sites on high‐resolution light detection and …

A Bonhage, M Eltaher, T Raab, M Breuß… - Archaeological …, 2021 - Wiley Online Library
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) …

[HTML][HTML] Industrial laser welding defect detection and image defect recognition based on deep learning model developed

H Deng, Y Cheng, Y Feng, J Xiang - Symmetry, 2021 - mdpi.com
Aiming at the problem of the poor robustness of existing methods to deal with diverse
industrial weld image data, we collected a series of asymmetric laser weld images in the …

[HTML][HTML] Documentation of archaeology-specific workflow for airborne LiDAR data processing

E Lozić, B Štular - Geosciences, 2021 - mdpi.com
Airborne LiDAR is a widely accepted tool for archaeological prospection. Over the last
decade an archaeology-specific data processing workflow has been evolving, ranging from …

[HTML][HTML] Archaeologic machine learning for shipwreck detection using lidar and sonar

L Character, A Ortiz Jr, T Beach, S Luzzadder-Beach - Remote Sensing, 2021 - mdpi.com
The objective of this project is to create a new implementation of a deep learning model that
uses digital elevation data to detect shipwrecks automatically and rapidly over a large …

[HTML][HTML] Deep learning reveals extent of Archaic Native American shell-ring building practices

DS Davis, G Caspari, CP Lipo, MC Sanger - Journal of Archaeological …, 2021 - Elsevier
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 …

[HTML][HTML] Comparison of Machine Learning Pixel-Based Classifiers for Detecting Archaeological Ceramics

A Argyrou, A Agapiou, A Papakonstantinou… - Drones, 2023 - mdpi.com
Recent improvements in low-altitude remote sensors and image processing analysis can be
utilised to support archaeological research. Over the last decade, the increased use of …