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GPR Data Processing and Interpretation Based on Artificial Intelligence Approaches : Future Perspectives for Archaeological Prospection

Küçükdemirci, Melda LU and Sarris, Apostolos (2022) In Remote Sensing 14(14).
Abstract
Ground penetrating radar (GPR) is a well-established technique used in archaeological prospection and it requires a number of specialized routines for signal and image processing to enhance the data acquired and lead towards a better interpretation of them. Computer-aided techniques have advanced the interpretation of GPR data, dealing with a wide range of operations aiming towards locating, imaging, and diagnosis/interpretation. This article will discuss the novel and recent applications of machine learning (ML) and deep learning (DL) techniques, under the artificial intelligence umbrella, for processing GPR measurements within archaeological contexts, and their potential, limitations, and possible future prospects.
Please use this url to cite or link to this publication:
author
and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
ground penetrating radar, automated analysis, artificial intelligence, machine learning, archaeological prospection
in
Remote Sensing
volume
14
issue
14
article number
3377
pages
16 pages
publisher
MDPI AG
external identifiers
  • scopus:85136446344
ISSN
2072-4292
DOI
10.3390/rs14143377
language
English
LU publication?
yes
id
299e1659-386c-4a8a-a04c-4a635871800a
date added to LUP
2022-07-14 11:10:09
date last changed
2022-09-06 11:42:26
@article{299e1659-386c-4a8a-a04c-4a635871800a,
  abstract     = {{Ground penetrating radar (GPR) is a well-established technique used in archaeological prospection and it requires a number of specialized routines for signal and image processing to enhance the data acquired and lead towards a better interpretation of them. Computer-aided techniques have advanced the interpretation of GPR data, dealing with a wide range of operations aiming towards locating, imaging, and diagnosis/interpretation. This article will discuss the novel and recent applications of machine learning (ML) and deep learning (DL) techniques, under the artificial intelligence umbrella, for processing GPR measurements within archaeological contexts, and their potential, limitations, and possible future prospects.}},
  author       = {{Küçükdemirci, Melda and Sarris, Apostolos}},
  issn         = {{2072-4292}},
  keywords     = {{ground penetrating radar; automated analysis; artificial intelligence; machine learning; archaeological prospection}},
  language     = {{eng}},
  month        = {{07}},
  number       = {{14}},
  publisher    = {{MDPI AG}},
  series       = {{Remote Sensing}},
  title        = {{GPR Data Processing and Interpretation Based on Artificial Intelligence Approaches : Future Perspectives for Archaeological Prospection}},
  url          = {{http://dx.doi.org/10.3390/rs14143377}},
  doi          = {{10.3390/rs14143377}},
  volume       = {{14}},
  year         = {{2022}},
}