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

Melda Küçükdemirci, Apostolos Sarris

Research output: Contribution to journalArticlepeer-review

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 languageEnglish
Article number3377
Number of pages16
JournalRemote Sensing
Volume14
Issue number14
DOIs
Publication statusPublished - 2022 Jul 13

Subject classification (UKÄ)

  • Archaeology

Keywords

  • ground penetrating radar
  • automated analysis
  • artificial intelligence
  • machine learning
  • archaeological prospection

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