Page 30 - JCAU-6-1

Journal of Chinese
Architecture and Urbanism Spatial exploration through image semantic segmentation

Author contributions

This is a single-authored article.
Ethics approval and consent to participate

Not applicable.
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Not applicable.
Availability of data
The data that support the findings of this study are available
from the corresponding author, upon reasonable request.

References
An, J. (2021). Research on Intelligent Assistance Design
Figure 27. Distribution of traffic signs within historic (Traffic Sign 1) and of Subway Station Space Based on Deep Learning
modern (Traffic Sign 2) streets. Source: The author (Master’s Thesis, Beijing Jiaotong University).
Available from: https://kns.cnki.net/kcms/detail/detail.
aspx?dbname=cmfd202201&filename=1021868129.nh
[Last accessed: 2023 Aug 24]
Cao, Y. (2017). Innovation and Extension of Urban
Image Cognition Methods Based on Deep Learning.
(Master’s Thesis, Chongqing University). Available
from: https://kns.cnki.net/kcms/detail/detail.
aspx?dbname=cmfd201801&filename=1017838519.nh
[Last accessed: 2023 Aug 24]
Cao, Y. (2021). Research and Implementation of Dataset Establishment
Figure 28. Spatial distribution of traffic signs within historic and modern and Detection Identification of Historical Building Components
streets. Source: Drawing by the author in Guangzhou. (Master’s Thesis, South China University of
Technology). Available from: https://kns.cnki.net/kcms/detail/
depth and accessibility through signage distribution, and detail.aspx?dbname=cmfd202301&filename=1021896319.nh
analyzing street congestion by examining the relationship [Last accessed: 2023 Aug 26]
between people distribution and streets. Chen, F. C., & Jahanshahi, M. R. (2017). Vision-based Crack
Detection on Metallic Surfaces using Deep Convolutional
4. Conclusion Neural Network with Patch Clustering: Conference:
In summary, this paper serves as a preliminary exploration, Structural Health Monitoring 2017.
offering ideas, foundations, and technological paths for https://doi.org/10.12783/shm2017/14240
the refined design of urban space. Future work could Cheng, J. (2022). Nighttime Semantic Segmentation Based on
entail gathering similar spatial cases and conducting more Image Generation. (Master’s Thesis, Southeast University).
advanced studies using big data methods. Available from: https://kns.cnki.net/KCMS/detail/detail.
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Acknowledgments [Last accessed: 2023 Aug 24]
None. Deng, Q., Ou, H., Wang, Z., Li, Y., & Liu, Y. (2021). Two-
Dimensional Image Recognition and Three-dimensional
Funding Stereoscopic Generation Research on General Layout

This research received no financial support from public or Generated by GAN Model - A Case Study of Primary
private sectors. School Campus. In: Shaping the Future - Proceedings of the
National Symposium on Architectural Digital Technology
Conflict of interest Teaching and Research in Architecture Institutes, 2021.
China: Huazhong University of Science and Technology
The author declares no competing interests in this paper. Press, p. 597-602.

Volume 6 Issue 1 (2024) 13 https://doi.org/10.36922/jcau.1736