Extraction and Analysis of the Spatial Morphology of a Heritage Village Based on Digital Technology and Weakly Supervised Point Cloud Segmentation Methods: An Innovative Application in the Case of Xisongbi Village in Jiexiu City, Shanxi Province

Ruixin Chang, Jinping Wang (), Lei Li and Dengxing Chen
Additional contact information
Ruixin Chang: College of Architecture and Art, Taiyuan University of Technology, Taiyuan 030024, China
Jinping Wang: College of Architecture and Art, Taiyuan University of Technology, Taiyuan 030024, China
Lei Li: College of Architecture and Art, Taiyuan University of Technology, Taiyuan 030024, China
Dengxing Chen: College of Architecture and Art, Taiyuan University of Technology, Taiyuan 030024, China

Sustainability, 2025, vol. 17, issue 8, 1-35

Abstract: Due to the imbalance between urban and rural development and improper management, the spatial forms of many heritage villages have suffered severe damage, and their landscape styles are gradually being blurred, posing serious challenges to the protection of traditional villages. Taking the traditional village of Xi Songbi in Jiexiu City, Shanxi Province, as a case study, this paper employs UAV low-altitude multi-view measurement technology to obtain high-resolution image data from different angles. Three-dimensional modeling technology is then used to construct a 3D real-world model, orthophotos, and point cloud data of the settlement. Based on these data, the weakly supervised point cloud segmentation method, DDLA, is further applied to finely segment and classify the acquired point cloud data, accurately extracting key spatial elements such as buildings, roads, and vegetation, thereby enabling a comprehensive and quantitative analysis of the spatial morphology of traditional villages. The results of the study show the following: (1) The use of UAVs for low-altitude multi-view measurement not only greatly improves the efficiency of data acquisition but also provides millimeter-level precision spatial data in a short time through the constructed 3D models and orthophotos. (2) The acquired point cloud data can be processed through the DDLA, which effectively differentiates building contours from other environmental elements. (3) The calculation and analysis of the segmented point cloud data can accurately quantify key spatial morphology elements, such as the dimensions of traditional village buildings, spacing, and road widths, ensuring the scientific rigor and reliability of the data. (4) The comprehensive application of digital technology and point cloud segmentation methods provides clear expectations and solid technical support for the quantitative study of the spatial morphology of traditional villages, laying a scientific foundation for the protection and sustainable development of cultural heritage.

Keywords: digital technology; weakly supervised point cloud partitioning; low-altitude multi-view measurement techniques; quantitative analytics; traditional village of West Songbi (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2071-1050/17/8/3349/pdf (application/pdf)
https://www.mdpi.com/2071-1050/17/8/3349/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:17:y:2025:i:8:p:3349-:d:1631250

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().