THE RECOGNITION OF HERITAGE QUALITIES FROM FEATURE-BASED DIGITAL PROCEDURES IN THE ANALYSIS OF HISTORICAL URBAN CONTEXTS
- DICAr, Dept. of Civil Engineering and Architecture, University of Pavia, Italy
Keywords: urban historical heritage, multi-source digital survey, urban semantics, feature regions, Upper Kama
Abstract. The documentation of historical architectural heritage in urban contexts involves the consideration of planning adaptations of settlements and landscape, related to the identification of formal and semantic qualities. In particular, the identification of cultural significance of Heritage building units can find correspondence in geometrical features that are documented within the urban asset. In this way, urban monitoring, in an increasingly automated way, can support the identification and characterization of semantic elements also regarding Heritage objects, observing the invariance and conservation of formal constants in urban dynamic assets.
Considering the experimental case study of Solikamsk historical center, belonging to Upper Kama route (Russia), a multi-instrumental strategy of spatial survey is applied, evaluating data coverages and resolutions. This analysis defines a preliminary framework to develop further processes of 3D triangulation and reality-based meshing. The morpho-metric detail of final models constitutes the basis for the computing test of feature-based procedures, including regions recognition and mesh segmentation, which can be calibrated for shape qualities and scales, reaching a preliminary modeling classification of Heritage and urban building units.