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GPR Data Processing and Interpretation Based on Artificial Intelligence Approaches: Future Perspectives for Archaeological Prospection
| Content Provider | MDPI |
|---|---|
| Author | Melda, Küçükdemirci Sarris, Apostolos |
| Copyright Year | 2022 |
| Description | 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. |
| Starting Page | 3377 |
| e-ISSN | 20724292 |
| DOI | 10.3390/rs14143377 |
| Journal | Remote Sensing |
| Issue Number | 14 |
| Volume Number | 14 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2022-07-13 |
| Access Restriction | Open |
| Subject Keyword | Remote Sensing Ground Penetrating Radar Automated Analysis Artificial Intelligence Machine Learning Archaeological Prospection |
| Content Type | Text |
| Resource Type | Article |
