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首页> 外文期刊>Optical engineering >Hyperspectral analysis of cultural heritage artifacts: Pigment material diversity in the Gough Map of Britain
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Hyperspectral analysis of cultural heritage artifacts: Pigment material diversity in the Gough Map of Britain

机译:文化遗产文物的高光谱分析:英国高夫地图中的色素材料多样性

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摘要

The Gough Map, one of the earliest surviving maps of Britain, was created and extensively revised over the 15th century. In 2015, the map was imaged using a hyperspectral imaging system while in the collection at the Bodleian Library, Oxford University. The goal of the collection of the hyperspectral image (HSI) of the Gough Map was to address questions such as enhancement of faded text for reading and analysis of the pigments used during its creation and revision. In particular, pigment analysis of the Gough Map will help historians understand the material diversity of its composition and potentially the timeline of, and methods used in, the creation and revision of the map. Multiple analysis methods are presented to analyze a particular pigment in the Gough Map with an emphasis on understanding the within-material diversity, i.e., the number and spatial layout of distinct red pigments. One approach for understanding the number of distinct materials in a scene (i.e., endmember selection and dimensionality estimation) is the Gram matrix approach. Here, this method is used to study the within-material differences of pigments in the map with common visual color. The application is a pigment analysis tool that extracts visually common pixels (here, the red pigments) from the Gough Map and estimates the material diversity of the pixels. Results show that the Gough Map is composed of at least five kinds of dominant red pigments with a particular spatial pattern. This research provides a useful tool for historical geographers and cartographic historians to analyze the material diversity of HSI of cultural heritage artifacts.
机译:高夫地图(Gough Map)是英国幸存的最早地图之一,并在15世纪进行了广泛的修订。 2015年,该地图在牛津大学Bodleian图书馆的馆藏中使用高光谱成像系统成像。收集Gough Map的高光谱图像(HSI)的目的是解决一些问题,例如增强褪色文本以阅读和分析在创建和修改过程中使用的色素。尤其是,对高夫地图的色素分析将帮助历史学家了解其组成的物质多样性,以及潜在地创建和修改地图的时间表和方法。提出了多种分析方法来分析高夫图中的特定颜料,重点是了解材料内部的多样性,即不同红色颜料的数量和空间布局。理解场景中不同材料的数量的一种方法(即端构件选择和尺寸估计)是Gram矩阵方法。在此,此方法用于研究具有常见视觉颜色的地图中颜料的材料内部差异。该应用程序是一种颜料分析工具,可从Gough Map中提取视觉上常见的像素(此处为红色颜料),并估算像素的材料多样性。结果表明,高夫图由至少五种具有特定空间图案的显性红色颜料组成。该研究为历史地理学家和制图历史学家分析文化遗产人工制品的恒生指数的物质多样性提供了有用的工具。

著录项

  • 来源
    《Optical engineering》 |2017年第8期|081805.1-081805.11|共11页
  • 作者单位

    Rochester Institute of Technology, Chester F. Carlson Center for Imaging Science, Rochester, NY, United States;

    Rochester Institute of Technology, Chester F. Carlson Center for Imaging Science, Rochester, NY, United States;

    University of Oxford, Bodleian Library, Oxford, United Kingdom;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Dimensionality estimation; Hyperspectral imagery; Pigment analysis;

    机译:尺寸估算;高光谱影像;颜料分析;

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