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.
关键词
风景园林/古典园林/用户生成内容/滨水岸线/空间营造/三维点云模型
Key words
landscape architecture/classical garden/user generated content/waterfront/space construction/three-dimensional point cloud model
维普
万方数据