GPR Data Processing and Interpretation Based on Artificial Intelligence Approaches : Future Perspectives for Archaeological Prospection
(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:
https://lup.lub.lu.se/record/299e1659-386c-4a8a-a04c-4a635871800a
- author
- Küçükdemirci, Melda LU and Sarris, Apostolos
- organization
- publishing date
- 2022-07-13
- 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}}, }