Correspondence Alexandru Hegyi, Applied Geomorphology and Interdisciplinary Research Centre (CGACI), West University of Timişoara, Blvd. V. Parvan 4, Timisoara 300223. Timis, Romania. Email: alexandru.hegyi89@e-uvt.ro Abstract The intensive use of geophysics in archaeological investigations demands new ways of fast and meaningful data interpretation. With the increasing size and complexity of magnetometer data, manual identification and delineation of magnetic anomalies becomes a time-consuming activity. In this respect, our study introduces a new approach to automate this laborious procedure, implemented as a ready-to-use tool within the eCognition software. The approach relies on a multiresolution segmentation (MRS) algorithm, which is applied on a single layer containing magnetic values. Magnetic anomalies are automatically identified and delineated at three levels of scale. Magnetic anomalies are thus classified as potential archaeological features. The degree of departure from a normal distribution is adjustable at 0.5 and 1 standard deviation (SD), respectively. The approach was tested on magnetometer images of a buried medieval village in the west of Romania. The data were acquired along parallel profiles covering six squares of 100 m × 100 m each. We have deliberately selected this magnetic map because it is not the top in terms of magnetic results and it provides staggers (due to data acquisition in 100 m grids) to show that if this algorithm works on this magnetic map, it will work defiantly on those where archaeological structures/anomalies are even more regulated. The tested scenes indicated accurate results, displaying positiveand negative-valued magnetic anomalies with levels of detail almost similar to manually delineated anomalies. Our approach is simple to apply. Being implemented as a customized process for the eCognition software, the tool attached to the article repository has a significant potential to support interpretation of any type of image obtained through geophysical measurements and we consider it an aid for large-scale surveys.

中文翻译：

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一种支持磁异常自动描绘的基于对象的方法

通讯作者 Alexandru Hegyi，应用地貌学和跨学科研究中心 (CGACI)，西蒂米什瓦拉大学，大道。V. Parvan 4，蒂米什瓦拉 300223。罗马尼亚蒂米斯。电子邮件：alexandru.hegyi89@e-uvt.ro 摘要 地球物理学在考古调查中的大量使用需要快速和有意义的数据解释的新方法。随着磁力计数据的规模和复杂性不断增加，手动识别和描绘磁异常成为一项耗时的活动。在这方面，我们的研究引入了一种新方法来自动化这个费力的过程，作为 eCognition 软件中的即用型工具实施。该方法依赖于多分辨率分割 (MRS) 算法，该算法应用于包含磁性值的单层。磁异常会自动识别并在三个级别进行描述。因此，磁异常被归类为潜在的考古特征。偏离正态分布的程度分别可调整为 0.5 和 1 标准差 (SD)。该方法在罗马尼亚西部一个被掩埋的中世纪村​​庄的磁力计图像上进行了测试。沿平行剖面采集数据，覆盖六个正方形，每个正方形 100 m × 100 m。我们特意选择了这张磁图，因为它在磁结果方面不是最高的，并且它提供了交错（由于数据采集在 100 m 网格中）表明如果该算法适用于这张磁图，它将在那些考古结构/异常的监管更加严格。测试场景显示准确结果，显示正值和负值磁异常，其细节水平几乎与手动描绘的异常相似。我们的方法很容易应用。作为 eCognition 软件的定制过程实施，文章存储库附带的工具具有支持解释通过地球物理测量获得的任何类型图像的巨大潜力，我们认为它有助于大规模调查。