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

KÜÇÜKDEMİRCİ M., Sarris A.

Remote Sensing, cilt.14, sa.14, 2022 (SCI-Expanded, Scopus) identifier identifier

  • Yayın Türü: Makale / Derleme
  • Cilt numarası: 14 Sayı: 14
  • Basım Tarihi: 2022
  • Doi Numarası: 10.3390/rs14143377
  • Dergi Adı: Remote Sensing
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, CAB Abstracts, Compendex, INSPEC, Veterinary Science Database, Directory of Open Access Journals
  • Anahtar Kelimeler: archaeological prospection, artificial intelligence, automated analysis, ground penetrating radar, machine learning
  • İstanbul Üniversitesi-Cerrahpaşa Adresli: Hayır

Özet

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.