首页> 外文会议>Ride on The Geospatial Revolution Annual Conference >TECHNIQUES OF DETECTING AND DELINEATING ARCHAEOLOGICAL SITE DESTRUCTION USING HIGH RESOLUTION SATELLITE IMAGERY: AN IRAQ CASE STUDY
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TECHNIQUES OF DETECTING AND DELINEATING ARCHAEOLOGICAL SITE DESTRUCTION USING HIGH RESOLUTION SATELLITE IMAGERY: AN IRAQ CASE STUDY

机译:使用高分辨率卫星图像检测和描绘考古遗址破坏的技术:伊拉克案例研究

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摘要

Archaeological sites around the world have always been subjected to degradation and destruction as the result of looting. Nowhere is this more evident than on the Central Mesopotamian Plain of Iraq; particularly during the last decade. Because of the nature of the political and social conditions in the country, ground-based observations are extremely difficult and dangerous. For this reason researchers have had to increasingly rely on remote sensing imagery to document this damage. Until recently such studies have been challenging because of the lack of adequate area coverage and the need to depend on medium resolution sensors to detect relatively small looting pits. With the development and deployment of high resolution satellite systems the ability to identify site damage has greatly increased. This presentation will discuss the strengths and weaknesses of various techniques used to recognize and define the presence and extent of looting pits. As will be noted, such techniques rely heavily on the standard visual interpretation of shape, size, and shadow characteristics on high resolution Worldview 1 satellite imagery. In addition, it will be shown how embossing and contouring procedures can be employed for the digital enhancement of these features. Finally, the incorporation of these interpreted data into GIS databases for analysis will be discussed.
机译:由于抢劫的结果,世界各地的考古地点一直受到退化和破坏。这更明显,而不是伊拉克中央美岛岛平原;特别是在过去十年中。由于该国的政治和社会条件的性质,基于地面的观察是非常困难和危险的。因此,研究人员必须越来越依赖遥感图像来记录这种损害。直到最近这样的研究由于缺乏足够的面积覆盖并且需要依赖于中等分辨率传感器来检测相对较小的掠夺坑而挑战。随着高分辨率卫星系统的开发和部署,识别现场损坏的能力大大增加。本演示文稿将讨论用于识别和定义抢劫坑的存在和程度的各种技术的优势和弱点。正如将要注意的,这种技术严重依赖于高分辨率世界观1卫星图像上的形状,大小和阴影特性的标准视觉解释。此外,将显示如何使用这些功能的数字增强压花和轮廓手术。最后,将讨论将这些解释的数据结合到GIS数据库中进行分析。

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