Geographic disparity in machine intelligence approaches for archaeological remote sensing research

DS Davis - Remote Sensing, 2020 - mdpi.com
A vast majority of the archaeological record, globally, is understudied and increasingly
threatened by climate change, economic and political instability, and violent conflict …

Automated methods for image detection of cultural heritage: Overviews and perspectives

A Câmara, A de Almeida, D Caçador… - Archaeological …, 2023 - Wiley Online Library
Remote sensing data covering large geographical areas can be easily accessed and are
being acquired with greater frequency. The massive volume of data requires an automated …

A novel machine learning and deep learning semi-supervised approach for automatic detection of InSAR-based deformation hotspots

A Tiwari, M Shirzaei - International Journal of Applied Earth Observation …, 2024 - Elsevier
Over the past two decades, Interferometric synthetic aperture radar (InSAR) has been
invaluable for studying earth surface deformation and related effects. Deformation maps …

Mapping burial mounds based on UAV-derived data in the Suusamyr Plateau, Kyrgyzstan

A Sărășan, AC Ardelean, A Bălărie… - Journal of …, 2020 - Elsevier
Located in the northern part of the Tian Shan Mountains, at an average elevation of over
2200 masl, the Suusamyr Plateau is home to numerous archaeological sites. Nonetheless …

Trying to break new ground in aerial archaeology

G Verhoeven, C Sevara - Remote Sensing, 2016 - mdpi.com
Aerial reconnaissance continues to be a vital tool for landscape-oriented archaeological
research. Although a variety of remote sensing platforms operate within the earth's …

Detecting historical terrain anomalies with UAV-LiDAR data using spline-approximation and support vector machines

M Storch, N de Lange, T Jarmer… - IEEE Journal of Selected …, 2023 - ieeexplore.ieee.org
The documentation of historical remains and cultural heritage is of great importance to
preserve historical knowledge. Many studies use low-resolution airplane-based laser …

Testing web mapping and active learning to approach lidar data

M Forest, L Costa, A Combey, A Dorison… - Advances in …, 2020 - cambridge.org
After acquiring 91 km2 of lidar data from the Zacapu region, West Mexico, we confronted a
series of issues that most archaeologists using this technology face. These include the large …

Object-based image analysis of ground-penetrating radar data for archaic hearths

RL Cornett, EG Ernenwein - Remote Sensing, 2020 - mdpi.com
Object-based image analysis (OBIA) has been increasingly used to identify terrain features
of archaeological sites, but only recently to extract subsurface archaeological features from …

Automated detection of field monuments in digital terrain models of Westphalia using OBIA

MF Meyer, I Pfeffer, C Jürgens - Geosciences, 2019 - mdpi.com
While Light Detection and Ranging (LiDAR) revolutionized archaeological prospection and
different visualizations were developed, an automated detection of cultural heritage still …

[PDF][PDF] Learning to look at LiDAR: combining CNN-based object detection and GIS for archaeological prospection in remotely-sensed data

WB Verschoof-van der Vaart - Ph. D. thesis, 2022 - scholarlypublications …
The importance of remotely-sensed data, especially LiDAR data, for archaeology has grown
exponentially in recent years (Opitz & Herrmann, 2018). Nowadays, the manual analysis of …