Research on Spatial Morphology Analysis of Traditional Villages Based on Machine Learning and Image Segmentation

With the advancement of rural revitalization and urbanization, the protection of traditional village spatial forms has become an important issue to be solved. Although existing studies have used in-terdisciplinary methods to analyze the spatial morphology of traditional buildings, systematic data analysis is still insufficient in the study of traditional villages. For this reason, this study combines machine learning and image segmentation techniques to analyze the spatial morphology of tradi-tional villages in Fulin Village, Quanzhou City, by using UAV tilt photography and digital surface modeling. Through supervised machine learning classification, spatial elements such as the land use types and architectural morphology data are extracted to construct the spatial morphology dataset of the traditional village and analyze it in detail.