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December 5, 2025BuildingsOpen Access

Exploring Nonlinear Effects of Visual Elements on Perceived Landscape Quality in Historical and Cultural Districts: A Deep Learning Case from Wuhan, China

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Authors

HXHong XuTYTingwei YangGZGuo Zixuan

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Overview

This analysis shows nonlinear effects of visual elements on landscape quality in urban renewal, suggesting deep learning can enhance cultural heritage preservation strategies.

Key Points

  • Natural visual elements positively influence perceived landscape quality, while artificial elements need careful control.
  • The study employs a semantic segmentation model to analyze street view images from Wuhan's cultural districts.
  • Higher beauty perceptions were linked to specific thresholds of visual element combinations, indicating nonlinear relationships.
  • Implications call for integrating aesthetic considerations into urban renewal and heritage preservation projects.

Cite This Study

Xu et al. (2025) studied this question.

synapsesocial.com/papers/6932313d8e51979591dceeaehttps://doi.org/10.3390/buildings15234338
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  4. 4Decoding Tourists’ Landscape Perception Preferences in Historical and Cultural Heritage Parks Through Social Media Images: A Dual-Task Deep Learning Framework2026
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