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 …
remote sensing, a non-destructive tool, is increasingly popular for experts around the world …
Object‐based image analysis: a review of developments and future directions of automated feature detection in landscape archaeology
DS Davis - Archaeological Prospection, 2019 - Wiley Online Library
Object‐based image analysis (OBIA) is a method of assessing remote sensing data that
uses morphometric and spectral parameters simultaneously to identify features in remote …
uses morphometric and spectral parameters simultaneously to identify features in remote …
Google Earth as a powerful tool for archaeological and cultural heritage applications: A review
Google Earth (GE), a large Earth-observation data-based geographical information
computer application, is an intuitive three-dimensional virtual globe. It enables …
computer application, is an intuitive three-dimensional virtual globe. It enables …
Deep learning to detect built cultural heritage from satellite imagery.-Spatial distribution and size of vernacular houses in Sumba, Indonesia
Abstract In Sumba Island–Indonesia, the implantation of vernacular houses, inside and
outside traditional villages, is considered to be an efficient proxy for the on-going complex …
outside traditional villages, is considered to be an efficient proxy for the on-going complex …
Map** and analyzing the local climate zones in China's 32 major cities using Landsat imagery based on a novel convolutional neural network
ABSTRACT The Local Climate Zone (LCZ) scheme provides researchers with a standard
method to monitor the Urban Heat Island (UHI) effect and conduct temperature studies. How …
method to monitor the Urban Heat Island (UHI) effect and conduct temperature studies. How …
Automated mound detection using lidar and object-based image analysis in Beaufort County, South Carolina
The study of precontact anthropogenic mounded features—earthen mounds, shell heaps,
and shell rings—in the American Southeast is stymied by the spotty distribution of systematic …
and shell rings—in the American Southeast is stymied by the spotty distribution of systematic …
Comparison of Machine Learning Pixel-Based Classifiers for Detecting Archaeological Ceramics
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 …
utilised to support archaeological research. Over the last decade, the increased use of …
Deep learning for archaeological object detection on LiDAR: New evaluation measures and insights
Machine Learning-based workflows are being progressively used for the automatic
detection of archaeological objects (intended as below-surface sites) in remote sensing …
detection of archaeological objects (intended as below-surface sites) in remote sensing …
Detection of buried archaeological remains with the combined use of satellite multispectral data and UAV data
Active and passive remote sensing sensors have been applied successfully in the detection
of crop marks (vegetation with a different spectral reflectance compared to its surroundings) …
of crop marks (vegetation with a different spectral reflectance compared to its surroundings) …
[HTML][HTML] Using CarcassonNet to automatically detect and trace hollow roads in LiDAR data from the Netherlands
WB Verschoof-van der Vaart, J Landauer - Journal of Cultural Heritage, 2021 - Elsevier
The systematic map** of hollow roads, traces of (post) medieval sunken cart tracks ways,
can provide information on past human movement and historical route networks. However …
can provide information on past human movement and historical route networks. However …