A Study on the Viewing Suitability of the Waterside Shoreline of Yipu Garden Based on User Generated Content and 3D Point Cloud Model
Taking Suzhou classical garden Yipu as an example,user generated content(UGC)and 3D point cloud model are combined to analyze the influencing factors of the differences in tourists'visual perception preferences caused by the diverse landscape features in classical gardens.First,the UGC data are crawled with the help of Python crawler function,and the 3D point cloud model of the garden is constructed with Reality Capture.Secondly,through the information extraction and clustering analysis of the UGC image data,the study obtained typical landscape types and view points,and constructed landscape preference and view points suitability evaluation models.On this basis,the correlation between landscape preference type,view points kernel density,line of sight permeability and landscape structure and view points suitability is established by combining the three-dimensional point cloud model,and the creation law of view points along the waterfront of classical gardens is obtained.
landscape architectureclassical gardenuser generated contentwaterfrontspace constructionthree-dimensional point cloud model
万方数据
维普
