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

Russa, Federico Mario La; Galizia, Mariateresa; Santagati, Cettina

doi:10.5194/isprs-archives-xlvi-m-1-2021-367-2021

Cited by 7 publications

(11 citation statements)

References 14 publications

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“…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).…”

Section: City Information Modeling Approachesmentioning

confidence: 99%

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

Russa

Grilli

Remondino

et al. 2023

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. The presented research aims to define a parametric modelling methodology that allows, in short time and at a sustainable cost, the digital acquisition, modelling and semantic structuring of urban city blocks to facilitate 3D city modelling applied to historic centres. The methodology is based on field surveying and derives 3D data for the realisation of a parametric City Information Model (CIM). This is pursued through the adoption of parametric modelling as main method combined with AI procedures like supervised machine learning. In particular, the Visual Programming Language (VPL) Grasshopper is adopted as main working environment. The methodology proposed, called Scan-to-CIM, is developed to automate the cognitive operations of interpretation and input of surveying data performed in the field in order to create LoD4 city block models in a semi-automatic way. The proposed Scan-to-CIM methodology is applied to a city block located in the historic centre of Catania, Italy.

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Section: City Information Modeling Approachesmentioning

confidence: 99%

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

Russa

Grilli

Remondino

et al. 2023

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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“…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].…”

Section: Modellingmentioning

confidence: 99%

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

2022

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Currently, there are heritage assets that have been extensively studied and documented, but sometimes this information is not fully accessible to users. The aim of this research was to establish protocols and methodologies to promote collaborative work between the disciplines of architecture, restoration, and archaeology, through the results offered by Building Information Modelling (BIM) tools, and to use them for Heritage Building Information Modelling (HBIM). The methodology applied employed data collection with fast and low-cost tools (UAV) to subsequently generate a photogrammetric survey to serves as the basis for three-dimensional modelling. In this parametric model we implement all the information obtained by professionals from different disciplines, which also serves as a means to publicise and disseminate the heritage asset. The case study was the archaeological site of Columbarios, located in Mérida, a UNESCO World Heritage City. We obtained an effective interdisciplinary work methodology for heritage management under a collaborative BIM environment. The study has allowed us to make the archaeological remains available to visit from anywhere in the world through Augmented Reality (AR) and Virtual Reality (VR) technology.

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“…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.…”

Section: Introductionmentioning

confidence: 99%

“…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.…”

Section: Introductionmentioning

confidence: 99%

Fast 3D Mapping Solution with UAV

Shahid,

Phang,

Chew

2023

J. Phys.: Conf. Ser.

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The photogrammetric method of 3D mapping uses Structure from Motion (SfM) algorithm, where 3D structures of a scene are created from 2D sets of data taken from multiple angles. This 3D mapping process is used in many advanced and important applications in the digital and robotics industry. The use of omnidirectional camera along with UAV for this photogrammetric process allows faster data acquisition and data processing to construct 3D structures compared to traditional method. However, the metric accuracy of spherical photogrammetry is relatively less compared to traditional framed camera photogrammetry. Hence, this research will focus on improving metric accuracy of spherical photogrammetry by enhancing SfM algorithm for the purpose of providing an enhanced and value-added fast 3D mapping solution using UAV. The research was conducted at 4 main levels. 1) Data acquisition phase, where the 360-degree camera with GPS tracker are attached to a UAV, and it is used to collect different sets of images at different heights and angles. 2) Camera calibration, for the purpose of identifying the camera intrinsic and extrinsic. These 2 parameters are crucial in feature detection and camera position estimation. 3) Data processing phase, where the collected data would be processed through the enhanced SfM algorithm to create the 3D structures. 4) Data analysis phase, where the 3D model created from enhanced SfM algorithm would be compared against a reference 3D model created by commercial software. However, the results attained were not as expected due to undesired feature detection process. This research is expected to help geographical and land surveyors to conduct surveys at a faster, more efficient and at a higher accuracy. A practical use case of this solution is to survey the terrain of an area under natural disaster, accurately and faster for search and rescue missions.

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

Cited by 7 publications

References 14 publications

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

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

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

Fast 3D Mapping Solution with UAV

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