Abstract: The skyline is a symbol and concentrated reflection of urban landscape style.With the acceleration of urbanization,its research has important theoretical significance and practical value for urban planning,construction,etc.This article is based on point cloud data from Wuhan city,extracting skylines from 9 key development areas.Three indicators,namely contour shape,degree of building height change,and average turning point of contour lines are selected for quantitative evaluation and analysis.The results are compared with the aesthetic pleasure threshold values of urban skylines in related studies.Overall,the evaluation of urban skylines shows that some skyline shapes are very pleasant,while others evoke less intense aesthetic feelings.Finally,by combining building data within the skyline area,statistical analysis is conducted on the relationship between quantitative indicators and the distribution of buildings with different purposes.The results indicate that there is a strong correlation between the turning point and the proportion of public facilities and residential buildings,with absolute correlation coefficients ranging from 0.39 to 0.83.The plot ratio has a strong correlation with the proportion of commercial and service buildings,with correlation coefficients ranging from 0.38 to 0.43.The research results of this article provide highly current skyline data for Wuhan city,provide quantitative basis for urban planning and design,and can also provide reference for skyline extraction and analysis of other cities.

Key words: LiDAR point cloud, skyline extraction, quantitative indicators, pleasure level, distribution of buildings