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Interpretation of geophysical surveys of archaeological sites using artificial neural networks.
| Content Provider | CiteSeerX |
|---|---|
| Author | Besco, David J. Cawley, Gavin C. |
| Abstract | Abstract — Geophysical surveys form a vital component of modern archaeological studies, providing data on the location of surviving sub-surface remains. Unfortunately interpretation of the raw output from geophysical surveys requires considerable expertise and current methods for machine interpretation are computationally expensive. In this paper, we describe the use of multi-layer perceptron neural networks for automated interpretation of geophysical survey data and present promising initial results for a survey taken of the Roman suburb of Butrint, a classical city situated in what is now Albania. Clearly a computationally efficient and straightforward means of inverting geophysical survey data is potentially an extremely useful tool in encouraging public awareness of cultural heritage. |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | Classical City Abstract Geophysical Survey Automated Interpretation Machine Interpretation Cultural Heritage Current Method Straightforward Mean Sub-surface Remains Public Awareness Raw Output Roman Suburb Geophysical Survey Data Geophysical Survey Archaeological Site Vital Component Considerable Expertise Artificial Neural Network Useful Tool Initial Result Modern Archaeological Study Multi-layer Perceptron Neural Network |
| Content Type | Text |
