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.
Original language | English |
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Article number | 3377 |
Number of pages | 16 |
Journal | Remote Sensing |
Volume | 14 |
Issue number | 14 |
DOIs | |
Publication status | Published - 2022 Jul 13 |
Subject classification (UKÄ)
- Archaeology
Free keywords
- ground penetrating radar
- automated analysis
- artificial intelligence
- machine learning
- archaeological prospection
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Laboratoriet för Digital Arkeologi DARK Lab
Dell'unto, N. (Manager) & Hansson, M. (Manager)
ArchaeologyInfrastructure