Paper Info
Title
An Application of Artificial Intelligence to Support the Discovering of Roman Centuriation Remains
Abstract
Archaeological research that uncovers ancient artifacts is of critical importance, since ruins and objects are the only way to deal with the history of a city. Artificial intelligence techniques can support the archaeologists to discover remains which are difficult to be identified manually as they must be sought on a vast territory or because they are hidden from direct observation. Here we present an original methodology that integrates deep learning and computer vision techniques to identify, from aerial pictures, remains of the Centuriation, that is an ancient Roman system for the division of the territory.
Year
DOI
Venue
2022
10.1109/ACCESS.2022.3194147
IEEE ACCESS
Keywords
DocType
Volume
Image segmentation, Urban areas, Image edge detection, Deep learning, Feature extraction, Convolutional neural networks, Computer vision, Image processing, convolutional networks, roman centuriation, smart archaeology, image segmentation
Journal
10
ISSN
Citations 
PageRank 
2169-3536
0
0.34
References 
Authors
0
3
Name
Order
Citations
PageRank
Pietro Fusco100.34
Salvatore Venticinque269474.23
Rocco Aversa360256.19