Remote Sensing and City Information Modeling for Revealing the Complexity of Historical Centers

Abstract

Abstract. Historical centers represent the outcome of transformations and stratifications of the cities across the centuries. The knowledge of a historical urban environment requires an analytical methodology articulated on several interconnected levels of investigation to model a multi-layered complexity that encompasses the geometric and stylistic features of places (blocks irregularities, narrow streets, stratified buildings), the accessibility (pedestrial zone, no flyzone), the use of existing data (GIS, cartographies). Today the challenge for historical centers is dual: on the one side to make use of expeditious technologies to acquire data, on the other one to create 3D city models that allow to manage, visualize, enquire and use these data in a unique digital ecosystem. Our research deals with a multi-sensor data acquisition, evaluation and integration with the aim of creating informed and responsive 3D city models (CIM) that constitute a synthesis of the survey conducted and become the support for simulations in various contexts (seismic risk, hydraulic, energy performance).

Advanced 3d Parametric Historic City Block Modeling Combining 3d Surveying, Ai and VPL

“…The main work environments are VPLs connected with CAD software. In particular, the VPL Grasshopper, thanks to several plugins dedicated to 3D city modeling, has supported the development of several research activities related to the CIM paradigm (De Jesus et al, 2018;Calvano et al, 2019;Fink & Koenig, 2019;La Russa & Genovese, 2021). The parametric approach relates to the previous ones regarding responsiveness between files of different nature (e.g., IFC and SHP), interaction with digital survey products and standards for 3D city models (CityGML).…”

Achieving Universal Accessibility through Remote Virtualization and Digitization of Complex Archaeological Features: A Graphic and Constructive Study of the Columbarios of Merida

“…However, although many 3D modelling technologies have been developed recently, the process of 3D modelling using photogrammetry data is still a manual and time-consuming process. Therefore, a change in workflows and procedures is required to speed up 3D geometric modelling [51,52].…”

Fast 3D Mapping Solution with UAV

“…However, it showed a decrease in dense point cloud and a relative decrease in metric accuracy as well. Comparison between SfM based spherical photogrammetry method and Simultaneous localization and mapping (SLAM), shows that the overall total time taken for data acquisition and processing is much lesser for spherical photogrammetry than SLAM based 3D mapping [8], [12]. At the same time both the papers suggest that the cost of equipment for laser scanning is more than 100 times greater than cost of equipment for spherical photogrammetry.…”

“…On the other hand, the metric accuracy is high in Laser scanned 3D model compared to spherical photogrammetry, but both the papers record that, the gap in metric accuracy is not large. Furthermore, some of the common limitations in spherical photogrammetry in the literature include less metric accuracy [12]- [15], poor lighting conditions causing incomplete 3D model [16], [17] and poorly stitched equirectangular images [18]- [20]. Among these, metric accuracy is the most noted limitation in the literature, followed by poor stitching of images.…”