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A New Data-Mining Method for the Digital Great Wall Exemplified by Statistical Evaluation and Analysis of the Ming Great Wall Archery Windows

Li, Zhe; Zhang, Mengdi; Tuo, Xiaolong; Zhang, Yukun; Li, Yan

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https://hdl.handle.net/2142/123178

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Title
A New Data-Mining Method for the Digital Great Wall Exemplified by Statistical Evaluation and Analysis of the Ming Great Wall Archery Windows
Author(s)
  • Li, Zhe
  • Zhang, Mengdi
  • Tuo, Xiaolong
  • Zhang, Yukun
  • Li, Yan
Issue Date
2023-02
Keyword(s)
  • heritage value mining
  • Whole Line Great Wall Image Database
  • artificial intelligence
  • archery windows of watchtowers
  • landscape archaeology
Geographic Coverage
China
Abstract
The authors reveal the functions of the Ming Great Wall's archery windows as well as the wisdom behind their construction. They developed a cross-regional, quantitative research method that identifies heritage values, beginning with data collection by drones, proceeding through data processing using artificial intelligence, and concluding with data analysis via landscape archaeology. The data collection method respects the morphology of the Great Wall and the rugged terrain around it. The authors improved an existing neural network by introducing automatic labeling and processing of image data. The method performs automatic statistical analyses of basic features such as the size, proportion, and morphology of archery windows along the Great Wall. The functions of the windows become apparent, as do the strategical importance to garrisons of watchtowers with windows and the principles of defensive zone planning that considers the surrounding terrain. The method breathes new life into heritage places and adds value to heritage interpretations. The images that the authors acquired and processed render heritage value analysis more efficient. Their method aids value mining and conservation of large cultural heritage sites.
Publisher
Johns Hopkins University Press
Series/Report Name or Number
Volume 71, Issue 3, February, 2023
Type of Resource
text
Language
eng
Copyright and License Information
Copyright 2023 University of Illinois Board of Trustees

Owning Collections

Library Trends 71 (3) February 2023: Cultural Heritage and Digital Scholarship in China: Part I [Restricted Access] PRIMARY
This special issue of Library Trends on cultural heritage and digital scholarship in China is divided and published in two parts as Volume 71, Issues 3 and 4. It introduces readers outside of China, and even those within, to the richness, diversity, and long history of China’s cultural heritage and the innovative digital scholarship being conducted with it.