Ιδρυματικό Αποθετήριο
Πολυτεχνείο Κρήτης
Πολυτεχνείο Κρήτης
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| URI | http://purl.tuc.gr/dl/dias/7EAEF4C3-21FF-42F7-A0E0-1757D0FFAFE3 | - |
| Αναγνωριστικό | https://doi.org/10.3390/app11167531 | - |
| Αναγνωριστικό | https://www.mdpi.com/2076-3417/11/16/7531/htm | - |
| Γλώσσα | en | - |
| Μέγεθος | 12 pages | en |
| Τίτλος | GPR data interpretation approaches in archaeological prospection | en |
| Δημιουργός | Manataki Meropi | en |
| Δημιουργός | Μανατακη Μεροπη | el |
| Δημιουργός | Vafeidis Antonios | en |
| Δημιουργός | Βαφειδης Αντωνιος | el |
| Δημιουργός | Sarris, Apostolos | en |
| Εκδότης | MDPI | en |
| Περίληψη | This article focuses on the possible drawbacks and pitfalls in the GPR data interpretation process commonly followed by most GPR practitioners in archaeological prospection. Standard processing techniques aim to remove some noise, enhance reflections of the subsurface. Next, one has to calculate the instantaneous envelope and produce C-scans which are 2D amplitude maps showing high reflectivity surfaces. These amplitude maps are mainly used for data interpretation and provide a good insight into the subsurface but cannot fully describe it. The main limitations are discussed while studies aiming to overcome them are reviewed. These studies involve integrated interpretation approaches using both B-scans and C-scans, attribute analysis, fusion approaches, and recent attempts to automatically interpret C-scans using Deep Learning (DL) algorithms. To contribute to the automatic interpretation of GPR data using DL, an application of Convolutional Neural Networks (CNNs) to classify GPR data is also presented and discussed. | en |
| Τύπος | Ανασκόπηση | el |
| Τύπος | Review | en |
| Άδεια Χρήσης | http://creativecommons.org/licenses/by/4.0/ | en |
| Ημερομηνία | 2022-10-11 | - |
| Ημερομηνία Δημοσίευσης | 2021 | - |
| Θεματική Κατηγορία | Ground Penetrating Radar | en |
| Θεματική Κατηγορία | Archaeological prospection | en |
| Θεματική Κατηγορία | Data interpretation | en |
| Θεματική Κατηγορία | Convolutional Neural Networks | en |
| Θεματική Κατηγορία | AlexNet | en |
| Βιβλιογραφική Αναφορά | M. Manataki, A. Vafidis, and A. Sarris, “GPR data interpretation approaches in archaeological prospection,” Appl. Sci., vol. 11, no. 16, Aug. 2021, doi: 10.3390/app11167531. | en |
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