Single Building Point Cloud Segmentation: Towards Urban Data Modeling and Management

A novel automated method for segmenting individual building units within urban point clouds has been developed, enabling direct linkage to map databases. This approach enhances urban data modeling and management by integrating geometric surveys with existing cartographic information. The technique was successfully applied in Sabbioneta, Italy, using point clouds generated from Mobile Mapping Systems and Unmanned Aerial System photogrammetry, paired with both open-source (OpenStreetMap) and regional cartographic databases. By assigning unique identifiers to segmented points, the resulting dataset becomes a rich container of urban information, serving as a foundation for advanced city modeling.

Treccani, D., & Adami, A. (2023). SINGLE BUILDING POINT CLOUD SEGMENTATION: TOWARDS URBAN DATA MODELING AND MANAGEMENT. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLVIII-1/W1-2023, 511–516. https://doi.org/10.5194/isprs-archives-xlviii-1-w1-2023-511-2023