Quantitative analysis and evaluation of winter and summer landscape colors in the Yangzhou ancient Canal utilizing deep learning

  • 0College of Landscape Architecture, Nanjing Forestry University, Nanjing, Jiangsu, PR China. wangyanyan0629@163.com.

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Summary

This summary is machine-generated.

Landscape color significantly impacts heritage site beauty. This study used deep learning to analyze Yangzhou Grand Canal sites, finding strong correlations between color characteristics and scenic beauty, particularly in winter and summer.

Area Of Science

  • Environmental Science
  • Landscape Architecture
  • Computer Vision

Background

  • Color is crucial for visual landscape evaluation and heritage site recognition.
  • Understanding landscape color dynamics is essential for heritage site management and aesthetic design.

Purpose Of The Study

  • To quantify landscape color characteristics of five Yangzhou Grand Canal heritage sites.
  • To analyze the relationship between landscape color and Scenic Beauty Estimation (SBE) values.
  • To provide a theoretical basis for heritage landscape color design.

Main Methods

  • Deep Learning (DL) scene parsing algorithm for color quantification.
  • Evaluation of color characteristics (dominant color, saturation, brightness, diversity) in winter and summer.
  • Correlation analysis between color characteristics and SBE values.

Main Results

  • Dominant colors are blue and green; buildings are orange/yellow. Plant colors shift from green (summer) to yellow/cyan (winter).
  • Winter landscapes exhibit low saturation and brightness, while summer shows medium saturation and higher brightness.
  • Color diversity varies significantly in winter and slightly in summer. Strong correlations found between color diversity/saturation and SBE values, varying by season.

Conclusions

  • Landscape color, particularly its diversity and saturation, is strongly correlated with perceived scenic beauty.
  • Seasonal variations in color significantly influence the aesthetic experience of heritage landscapes.
  • Findings support scientific landscape color design for heritage sites.

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