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Towards an operative use of remote sensing for exploring the past using satellite data: The case study of Hierapolis (Turkey)

机译:利用遥感技术探索过去利用卫星数据:希拉波利斯(土耳其)的案例研究

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摘要

This paper is focused on the presentation and discussion of an object oriented approach, applied to the Hierapolisud(Turkey) site, to automatically detect the subtle features linked to buried archaeological remains. The data processingudis applied twice: (i) first, globally at the whole image and, (ii) second, at the significant subsets identifiedudby global analysis, in order to refine the previously obtained categorization. Object oriented approaches are usuallyudbased on two main steps: i) first the segmentation, ii) then the classification. Herein, we first performed theudunsupervised classification step and, then, the segmentation. This choice is given by the specificity of archaeologicaludissue, in particular: (i) the subtle features/targets to be identified are partially or totally unknown and characterizedudby a very small spectral separability from the background, and therefore (ii) the discriminationudbetween archaeological class and substrates likely suffers significant confusion. To cope with these issues, theudfirst step is based on an unsupervised classification, which provides a first ‘rough’ categorization of pixels; theudsecond step, based on the segmentation, enables us to extract the geometric shape, and, in turn, to only categorizeudas archaeological class those pixels belonging to geometrically (rectangular and linear) shaped clusters. Outputsudfrom this classification identify rectangular and linear features of archaeological interest whose size suggestedudthat they may be a farm and some sectors of an aqueduct, respectively. Results from satellite based analysisudwere successfully evaluated by georadar and geomagnetic prospection along with field survey. From georadarudand geomagnetic prospection we were able i) to confirm the presence of buried remains and ii) to detail andudcharacterize these archaeological features at the subsoil level as well as to define the local stratigraphy. Fromudfield surveywe dated the detected buried remains to a period spanning from Imperial Roman to early Byzantineudhistorical times.
机译:本文重点介绍和讨论了一种面向对象的方法,该方法应用于Hierapolis ud(土耳其)站点,以自动检测与埋藏的考古遗迹有关的细微特征。数据处理应用了两次:(i)首先,在整个图像上全局;(ii)第二,在通过全局分析识别的重要子集上,以细化先前获得的分类。面向对象的方法通常基于两个主要步骤:i)首先进行细分,ii)然后进行分类。在这里,我们首先执行 udunsupervised分类步骤,然后进行分割。这种选择是由考古 udissue的特殊性给出的,尤其是:(i)要识别的细微特征/目标部分或完全未知,并且通过与背景的很小的光谱可分离性来表征,因此(ii)考古类别与底物之间的区别可能会遭受重大混乱。为了解决这些问题, ud第一步是基于无监督分类,该分类提供了像素的第一个“粗略”分类;第二步基于分割,使我们能够提取几何形状,进而仅对属于几何(矩形和线性)形状簇的像素进行考古分类。此分类的输出 ud可确定考古学关注的矩形和线性特征,其大小表明 ud它们可能分别是农场和渡槽的某些部分。通过地雷达和地磁勘探以及野外勘测成功地评估了基于卫星的分析结果。从georadar udand地磁勘测中,我们能够i)确认埋藏的遗骸的存在,并且ii)在地下土壤层次上详细描述和表征这些考古特征,以及确定局部地层。从 udfield调查开始,我们将发现的埋葬遗物定为从罗马帝国到拜占庭早期 udhistorical时期的时期。

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