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Automated Extraction of Archaeological Traces by a Modified Variance Analysis

机译:通过修正的方差分析自动提取考古遗迹

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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.
机译:本文考虑了通过分析选定点周围区域的像素方差来检测数字航空影像中考古痕迹的问题。为了确定某个点是否属于考古遗迹,需要考虑其周围区域。多次使用单向变异性分析(ANOVA)来检测这些区域之间的差异。特别地,在每个区域中使用要检测的标记的预期形状。此外,通过将这些区域的统计数据与整个种群的统计数据进行比较,可以定义效果大小参数,以便测量痕迹的可感知性。关于合成图像和真实图像的实验证明了该方法相对于某些最新方法的有效性。

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