What is it about?
The manual detection of archaeological objects in large ground-penetrating (GPR) data sets is a time consuming task. In this paper, I have examined how template matching can enhance the role of the computer in the interpretation process. The method, which is designed for the identification of wall structures, computes the cross-correlation of the GPR data and a number of templates with different dimensions. The resulting regions of interest are classified using a minimum size threshold. Both the detection rate and the correctness were around 75%, when compared with manual interpretation.
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This page is a summary of: Detection of Buried Roman Wall Remains in Ground-penetrating Radar Data using Template Matching, Archaeological Prospection, September 2016, Wiley,
DOI: 10.1002/arp.1540.
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