Automated Extraction of Archaeological Traces by a Modified Variance Analysis

• Main Authors: Tiziana D'Orazio, Paolo Da Pelo, Roberto Marani, Cataldo Guaragnella
• Format: Article
• Language: English
• Published: MDPI AG 2015-03-01
• Series: Remote Sensing
• Subjects: archaeological mark detection; analysis of variance; statistical test; regression analysis; low contrast aerial images
• Online Access: http://www.mdpi.com/2072-4292/7/4/3565
• ISSN: 2072-4292

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.