JOURNAL ARTICLE

Digital Construction and Protection Strategy for Liao Pagoda based on Drone Oblique Photography Technology.

  • Published In: Journal of Resources & Ecology, 2025, v. 16, n. 6. P. 1638 1 of 3

  • Database: The Belt and Road Initiative Reference Source 2 of 3

  • Authored By: DONG Xiaolong; KANG Runhao; Tang, Jian 3 of 3

Abstract

With the rapid development of information technology, drone oblique photography technology is an emerging means of spatial data acquisition that shows great potential in the field of cultural heritage protection. This study focuses on the use of drone oblique photography technology for the digital construction and protection of Liao Pagoda models, with the aim of developing an efficient and accurate 3D model construction method, and applying it to the field of ancient architectural heritage protection. As an important historical and cultural heritage in northern China, the protection and revitalization of the Liao Pagoda are of great significance for inheriting historical and cultural heritage and promoting regional tourism development. However, traditional surveying methods have problems such as low efficiency and insufficient accuracy in collecting the information and constructing the models of ancient buildings such as Liao Pagoda. The drone oblique photography technique provides a new technological pathway for solving these problems with its ability to quickly obtain high-resolution 3D spatial data. Based on this advantage, by analyzing the characteristics of drone oblique photography technology, this study explores its specific application mode in the digital protection construction of Liao Pagoda, which provides theoretical support and a technical foundation for the field of cultural heritage protection. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Journal of Resources & Ecology. 2025/11, Vol. 16, Issue 6, p1638
  • Document Type:Article
  • Subject Area:Anthropology
  • Publication Date:2025
  • ISSN:1674-764X
  • DOI:10.5814/j.issn.1674-764x.2025.06.003
  • Accession Number:190270675
  • Copyright Statement:Copyright of Journal of Resources & Ecology is the property of Journal of Resources & Ecology and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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