陶瓷型材的激光辅助轮廓测量与聚类分析

IF 1.5 1区 历史学 0 ARCHAEOLOGY
P. Demján, P. Pavúk, C. Roosevelt
{"title":"陶瓷型材的激光辅助轮廓测量与聚类分析","authors":"P. Demján, P. Pavúk, C. Roosevelt","doi":"10.1080/00934690.2022.2128549","DOIUrl":null,"url":null,"abstract":"ABSTRACT Ceramics are one of the commonest sources of archaeological information, yet their abundance often confounds documentation and analysis. This article presents a new method of documenting and analyzing ceramics that includes laser-aided profile measurement to capture ceramic shape and other information quickly and accurately, resulting in digital outputs suitable for both publication and morphometric analysis. Linked software and database solutions enable unsupervised machine learning to cluster shapes based on similarity, eventually assisting typological analysis. Following an overview of current practices in ceramic recording and both standard and computational shape classification analyses, the new approach is discussed in full as a documentary and analytical tool. A case study from the Middle and Late Bronze Age site of Kaymakçı in western Anatolia demonstrates the benefits of the recording method and helps show that a combination of automated and manual shape clustering techniques currently remains the best practice in ceramic shape classification.","PeriodicalId":47452,"journal":{"name":"JOURNAL OF FIELD ARCHAEOLOGY","volume":null,"pages":null},"PeriodicalIF":1.5000,"publicationDate":"2022-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Laser-Aided Profile Measurement and Cluster Analysis of Ceramic Shapes\",\"authors\":\"P. Demján, P. Pavúk, C. Roosevelt\",\"doi\":\"10.1080/00934690.2022.2128549\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"ABSTRACT Ceramics are one of the commonest sources of archaeological information, yet their abundance often confounds documentation and analysis. This article presents a new method of documenting and analyzing ceramics that includes laser-aided profile measurement to capture ceramic shape and other information quickly and accurately, resulting in digital outputs suitable for both publication and morphometric analysis. Linked software and database solutions enable unsupervised machine learning to cluster shapes based on similarity, eventually assisting typological analysis. Following an overview of current practices in ceramic recording and both standard and computational shape classification analyses, the new approach is discussed in full as a documentary and analytical tool. A case study from the Middle and Late Bronze Age site of Kaymakçı in western Anatolia demonstrates the benefits of the recording method and helps show that a combination of automated and manual shape clustering techniques currently remains the best practice in ceramic shape classification.\",\"PeriodicalId\":47452,\"journal\":{\"name\":\"JOURNAL OF FIELD ARCHAEOLOGY\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.5000,\"publicationDate\":\"2022-10-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"JOURNAL OF FIELD ARCHAEOLOGY\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/00934690.2022.2128549\",\"RegionNum\":1,\"RegionCategory\":\"历史学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"0\",\"JCRName\":\"ARCHAEOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"JOURNAL OF FIELD ARCHAEOLOGY","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/00934690.2022.2128549","RegionNum":1,"RegionCategory":"历史学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"0","JCRName":"ARCHAEOLOGY","Score":null,"Total":0}
引用次数: 0

摘要

摘要陶瓷是最常见的考古信息来源之一,但它们的丰富性往往会混淆文献和分析。本文提出了一种记录和分析陶瓷的新方法,包括激光辅助轮廓测量,以快速准确地捕捉陶瓷形状和其他信息,从而产生适合出版和形态测量分析的数字输出。链接的软件和数据库解决方案使无监督的机器学习能够根据相似性对形状进行聚类,最终帮助进行类型分析。在概述了陶瓷记录以及标准和计算形状分类分析的当前实践之后,将作为一种文献和分析工具对新方法进行全面讨论。来自安纳托利亚西部Kaymakçı青铜时代中晚期遗址的一项案例研究证明了记录方法的优势,并有助于表明自动和手动形状聚类技术的结合目前仍然是陶瓷形状分类的最佳实践。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Laser-Aided Profile Measurement and Cluster Analysis of Ceramic Shapes
ABSTRACT Ceramics are one of the commonest sources of archaeological information, yet their abundance often confounds documentation and analysis. This article presents a new method of documenting and analyzing ceramics that includes laser-aided profile measurement to capture ceramic shape and other information quickly and accurately, resulting in digital outputs suitable for both publication and morphometric analysis. Linked software and database solutions enable unsupervised machine learning to cluster shapes based on similarity, eventually assisting typological analysis. Following an overview of current practices in ceramic recording and both standard and computational shape classification analyses, the new approach is discussed in full as a documentary and analytical tool. A case study from the Middle and Late Bronze Age site of Kaymakçı in western Anatolia demonstrates the benefits of the recording method and helps show that a combination of automated and manual shape clustering techniques currently remains the best practice in ceramic shape classification.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
4.60
自引率
5.30%
发文量
29
期刊介绍: The Journal of Field Archaeology is an international, refereed journal serving the interests of archaeologists, anthropologists, historians, scientists, and others concerned with the recovery and interpretation of archaeological data. Its scope is worldwide and is not confined to any particular time period. Contributions in English are welcomed from all countries.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信