Integration and Comparison of Close-Range SFM Methodologies for the Analysis and the Development of the Historical City Center of Bethlehem

Parrinello, Sandro; Picchio, Francesca

doi:10.5194/isprs-archives-xlii-2-w9-589-2019

Cited by 16 publications

(13 citation statements)

References 9 publications

(10 reference statements)

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“…This fact has created a very interesting residential architecture with vaulted houses that combine different structures from different times [ 26 ] including the military structures among them the XII century Almohad Wall or the 19th century adobe walls. The SfM acquisition was aimed to optimize the movement of the DSLR (digital single lens reflex) camera to generate chunks of high-density points and integrity of each surface [ 27 , 28 , 29 ].…”

Section: Developed Methodologymentioning

confidence: 99%

“…These flights were integrated with terrestrial photogrammetry with an SLR camera with the objective to generate a parametric HBIM model that combined the different models: the one taken with UAV and SLR and the one taken with TLS in order to assess the quality of the different point clouds and their geometric reliability [ 14 , 27 , 35 ].…”

Section: Developed Methodologymentioning

confidence: 99%

“…The photogrammetric UAV model was developed with the Agisoft Metshape 1.6.2 software to generate a dense point cloud for each of the seven missions. Each of the missions was treated as an independent work block [ 27 ] for which sparse cloud, dense cloud, mesh, and a digital model of DEM elevations were obtained. Subsequently, the models of the seven missions were aligned, obtaining a general model composed of 1744 cameras that resulted in a dense point cloud of 75,676,246 points and 6,135,248 polygonal faces.…”

Section: Developed Methodologymentioning

confidence: 99%

“…ground and the vertical elements, which in some cases were house facades and in other were wall elements or defensive towers. The second one was to mark the location of the targets using geopositioned steel tips to allow us to retake and expand these scans in the future and reference them into the main model; so, if in the future we had the possibility of accessing a property, we could go back to the physical mesh of steel spikes placed in the pavement to continue expanding our model obtained through TLS [27,33]. The procedure followed within the research project [15] for data collection was based on a high-density sphere mesh separated by a maximum of 30 m (see Figure 7a,b).…”

Section: Planning Work: 1st Campaign Tls Acquisition and 2nd Campaigmentioning

confidence: 99%

“…To do this, we assign each cloud a color, and through volume cuts, 2D sections, plants, we check the different geometries. From REVIT, the handling and superposition of the different point clouds is tremendously agile, being able to activate and deactivate zones to improve the reading of the set and obtain comparative sections of the models in which to check our level of precision [27]. Figure 11.…”

Section: Validation Process Of the Different Outputs: Determine Reliamentioning

confidence: 99%

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Protocol Development for Point Clouds, Triangulated Meshes and Parametric Model Acquisition and Integration in an HBIM Workflow for Change Control and Management in a UNESCO’s World Heritage Site

Plata

Franco

Franco³

et al. 2021

Sensors

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This article illustrates a data acquisition methodological process based on Structure from Motion (SfM) processing confronted with terrestrial laser scanner (TLS) and integrated into a Historic Building Information Model (HBIM) for architectural Heritage’s management. This process was developed for the documentation of Cáceres’ Almohad wall bordering areas, a UNESCO World Heritage Site. The case study’s aim was the analysis, management and control of a large urban area where the urban growth had absorbed the wall, making it physically inaccessible. The methodology applied was the combination of: clouds and meshes obtained by SfM; with images acquired from Unmanned Aerial Vehicle (UAV) and Single Lens Reflex (SLR) and terrestrial photogrammetry; and finally, with clouds obtained by TLS. The outcome was a smart-high-quality three-dimensional study model of the inaccessible urban area. The final result was two-fold. On one side, there was a methodological result, a low cost and accurate smart work procedure to obtain a three-dimensional parametric HBIM model that integrates models obtained by remote sensing. On the other side, a patrimonial result involved the discovery of a XII century wall’s section, that had supposedly been lost, that was hidden among the residential buildings. The article covers the survey campaign carried out by the research team and the techniques applied.

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