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Remote Sens. 2015, 7(4), 3565-3587; doi:10.3390/rs70403565

Automated Extraction of Archaeological Traces by a Modified Variance Analysis

1
CNR, ISSIA, Via Amendola 122/D, 70126 Bari, Italy
2
Politecnico di Bari, DEE, via Orabona, 70126 Bari, Italy
*
Author to whom correspondence should be addressed.
Academic Editors: Clement Atzberger and Prasad S. Thenkabail
Received: 19 January 2015 / Revised: 11 March 2015 / Accepted: 17 March 2015 / Published: 26 March 2015
View Full-Text   |   Download PDF [4283 KB, uploaded 26 March 2015]   |  

Abstract

This paper considers the problem of detecting archaeological traces in digital aerial images by analyzing the pixel variance over regions around selected points. In order to decide if a point belongs to an archaeological trace or not, its surrounding regions are considered. The one-way ANalysis Of VAriance (ANOVA) is applied several times to detect the differences among these regions; in particular the expected shape of the mark to be detected is used in each region. Furthermore, an effect size parameter is defined by comparing the statistics of these regions with the statistics of the entire population in order to measure how strongly the trace is appreciable. Experiments on synthetic and real images demonstrate the effectiveness of the proposed approach with respect to some state-of-the-art methodologies. View Full-Text
Keywords: archaeological mark detection; analysis of variance; statistical test; regression analysis; low contrast aerial images archaeological mark detection; analysis of variance; statistical test; regression analysis; low contrast aerial images
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

D'Orazio, T.; Da Pelo, P.; Marani, R.; Guaragnella, C. Automated Extraction of Archaeological Traces by a Modified Variance Analysis. Remote Sens. 2015, 7, 3565-3587.

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