首页> 外文OA文献 >‘Looting marks’ in space-borne SAR imagery : measuring rates of archaeological looting in Apamea (Syria) with TerraSAR-X Staring Spotlight.
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‘Looting marks’ in space-borne SAR imagery : measuring rates of archaeological looting in Apamea (Syria) with TerraSAR-X Staring Spotlight.

机译:星载SAR图像中的“抢劫标记”:使用TerraSAR-X凝视聚光灯测量Apamea(叙利亚)中考古抢劫的速度。

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摘要

In archaeological remote sensing, space-borne Synthetic Aperture Radar (SAR) has not been used so far to monitor ‘looting’ (i.e. illegal excavations in heritage sites) mainly because of the spatial resolution of SAR images, typically not comparable to the ground dimensions of looting features. This paper explores the potential of the new TerraSAR-X beam mode Staring Spotlight (ST) to investigate looting within a workflow of radar backscattering change detection. A bespoke time series of five single polarisation, ascending mode, ST scenes with an unprecedented azimuth resolution of 0.24 m was acquired over the archaeological site of Apamea in western Syria, from October 2014 to June 2015 with a regular sampling of one image every two months. Formerly included in the Tentative List of UNESCO, the site has been heavily looted from at least early 2012 to May 2014, as confirmed by Google Earth Very High Resolution (VHR) optical imagery. Building upon the theory of SAR imaging, we develop a novel conceptual model of ‘looting marks’, identify marks due to occurrence of new looting and discriminate them from alteration (e.g. filling) of pre-existing looting holes. ‘Looting marks’ appear as distinctive patterns of shadow and layover which are visible in the ground-range reprojected ST image and generated by the morphology of the holes. The recognition of looting marks within ratio maps of radar backscatter (σ0) between consecutive ST scenes allows quantification of the magnitude, spatial distribution and rates of looting activities. In agreement with the estimates based on Google Earth imagery, the ST acquired in October 2014 shows that ~ 45% of the site was looted. In the following eight months new looting happened locally, with holes mainly dug along the margins of the already looted areas. Texture values of ~ 0.31 clearly distinguish these holes from the unaltered, bare ground nearby. Hot spots of change are identified based on the temporal variability of σ0, and colour composites indicate where repeated looting and alteration of existing holes occurred. Most looting marks are observed north of the two main Roman decumani. Looting intensified almost steadily from December 2014, with over 1500 new marks in February–April 2015. The estimated rates of looting increased from 214 looting marks/month in October–December 2014 to over 780 marks/month in April–June 2015, and numerically express the dynamic nature of the phenomenon to which Apamea is still exposed. The method of identifying looting marks in VHR radar images therefore proves a reliable opportunity for archaeologists and image analysts to measure remotely the scale of looting and monitor its temporal evolution.
机译:在考古遥感中,到目前为止,星空合成孔径雷达(SAR)尚未用于监视“掠夺”(即,在遗产遗址中的非法挖掘),主要是因为SAR图像的空间分辨率,通常无法与地面尺寸相比抢劫功能。本文探讨了新的TerraSAR-X光束模式凝视聚光灯(ST)的潜力,以研究雷达反向散射变化检测工作流程中的掠夺。从2014年10月至2015年6月,在叙利亚西部的Apamea考古现场获取了由五个单极化,上升模式,方位角分辨率为0.24 m的空前的ST场景定制的时间序列,每两个月定期采样一张图像。正如Google地球超高分辨率(VHR)光学图像所证实的那样,该网站至少曾于2012年初至2014年5月被严重洗劫一空,之前曾被列入联合国教科文组织的暂定名单。在SAR成像理论的基础上,我们开发了一种新颖的“掠夺标记”概念模型,识别由于发生新掠夺而产生的标记,并将其与预先存在的掠夺孔的变化(例如填充)区分开来。 “抢劫痕迹”表现为阴影和过渡现象的独特图案,在地面重新投影的ST图像中可见并由孔的形态生成。在连续的ST场景之间的雷达反向散射比率图(σ0)中识别出掠夺标记,从而可以量化掠夺活动的幅度,空间分布和速率。与基于Google Earth图像的估计一致,ST在2014年10月获得的数据显示,大约有45%的网站遭到了抢劫。在随后的八个月中,新的抢劫发生在当地,主要是在已经抢劫区域的边缘挖出洞。约0.31的纹理值清楚地将这些孔与附近未改变的裸露地面区分开。根据σ0的时间变化来确定变化的热点,并且颜色组合指示发生重复掠夺和现有孔蚀变的位置。在两个主要的罗马decumani以北可以看到大多数抢劫标记。自2014年12月以来,抢劫几乎呈稳定增长态势,在2月至2015年4月超过1500个新标记。估计的抢劫率从2014年10月至12月的每月214劫掠标记增加到2015年4月至6月的每月780标记。表达Apamea仍然面临的现象的动态性质。因此,在VHR雷达图像中识别抢劫标记的方法为考古学家和图像分析人员提供了可靠的机会,可以远程测量抢劫的规模并监测其随时间的变化。

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