Abstract
The Scan to BIM method applied to the field of cultural heritage, today represents an opportunity for public administrations in order to enhance and disseminate the cultural heritage present in their territories, building models able to connect different databases and, consequently, allow a multidisciplinary approach in such a way as to guarantee the transition and the transformation from an unsustainable production system from the point of view of the use of resources, to a model that instead has its own strength in sustainability, environmental, social and economic, especially in existing buildings.
The proposed method was applied to the case study of the Castle of Sant’Aniceto (often referred to as S. Niceto) located in Motta San Giovanni (RC). To obtain the 3D model of the structure under examination, it was necessary to carry out, as a first step, an investigation with drone photogrammetry that allowed the construction of a dense cloud of points and high-resolution orthophotos useful for the study of the architectural and historical analysis of the elements present within the rocky site. Subsequently, the individual objects identified using Edificius were modeled allowing to reconstruct the objects in a virtual environment that can be fully visited through virtual reality applications.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Barrile, V., Bilotta, G.: An application of remote sensing: object-oriented analysis of Satellite data. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci. XXXVII, 107–113 (2008)
Barrile, V., Bilotta, G.: Object-oriented analysis applied to high resolution satellite data. WSEAS Trans. Signal Process. 4(3), 68–75 (2008)
Barrile, V., Fotia, A., Ponterio, R., Mollica Nardo, V., Giuffrida, D., Mastelloni, M.A.: A combined study of art works preserved in the archaeological museums: 3D survey, spectroscopic approach and augmented reality. ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci. 42(2/W11), 201–207 (2019). 2nd International Conference of Geomatics and Restoration, GEORES 2019, Milan, 8 May 2019 through 10 May 2019
Barrile, V., Bilotta, G., Fotia, A., Bernardo, E.: Road extraction for emergencies from satellite imagery. In: Gervasi, O., et al. (eds.) ICCSA 2020. LNCS, vol. 12252, pp. 767–781. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-58811-3_55
Barrile, V., Leonardi, G., Fotia, A., Bilotta, G., Ielo, G.: Real-time update of the road cadastre in GIS environment from a MMS rudimentary system. In: Calabrò, F., Della Spina, L., Bevilacqua, C. (eds.) ISHT 2018. SIST, vol. 101, pp. 240–247. Springer, Cham (2019). https://doi.org/10.1007/978-3-319-92102-0_26
López, F., Lerones, P., Llamas, J., Gómez-García-Bermejo, J., Zalama, E.: A review of heritage building information modeling (H-BIM). Multimodal Technol. Interact. 2(21), 1–29 (2018)
Fotia A, Modafferi A, Nunnari A, D’amico S: From UAV survey to 3D printing, geomatics techniques for the enhancement of small village cultural heritage. WSEAS Trans. Environ. Dev. 17, 479–489 (2021). Article number 46
Barrile, V., Fotia, A., Bernardo, E., Bilotta, G.: Road cadastre an innovative system to update information, from big data elaboration. In: Gervasi, O., et al. (eds.) ICCSA 2020. LNCS, vol. 12252, pp. 709–720. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-58811-3_51
Bernardo, E., Bonfa, S., Anderson, J.: Implementation of the digital inland water smart strategy using geomatics instruments and the big data SmartRiver platform. In: Borgogno-Mondino, E., Zamperlin, P. (eds.) ASITA 2021. CCIS, vol. 1507, pp. 83–94. Springer, Cham (2022). https://doi.org/10.1007/978-3-030-94426-1_7
Bernardo, E., Bonfa, S., Calcagno, S.: Techniques of geomatics and soft computing for the monitoring of infrastructures and the management of big data. WSEAS Trans. Environ. Dev. 17, 371–385 (2021). https://doi.org/10.37394/232015.2021.17.37
Barrile, V., Fotia, A., Bernardo, E., Candela, G.: Geomatics techniques for submerged heritage: a mobile app for tourism. WSEAS Trans. Environ. Dev. 16, 586–597 (2020). https://doi.org/10.37394/232015.2020.16.60
Barrile, V., Bilotta, G., Nunnari, A.: 3D Modeling with Photogrammetry by UAVs and model quality verification. ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci. IV-4/W4, 129–134 (2017). https://doi.org/10.5194/isprs-annals-IV-4-W4-129-2017
Barrile, V., Gelsomino, V., Bilotta, G.: UAV and computer vision in 3D modeling of cultural heritage in Southern Italy. IOP Conf. Ser. Mater. Sci. Eng. 225, 012196 (2017)
Barrile, V., Fotia, A., Bernardo, E.: The submerged heritage: a virtual journey in our seabed. Int. Arch. Photogram. Remote Sens. Spatial Inf. Sci. XLII-2/W10, 17–24 (2019). https://doi.org/10.5194/isprs-archives-XLII-2-W10-17-2019
Barrile, V., Fotia, A., Bernardo, E., Bilotta, G., Modafferi, A.: Road infrastructure monitoring: an experimental geomatic integrated system. In: Gervasi, O., et al. (eds.) ICCSA 2020. LNCS, vol. 12252, pp. 634–648. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-58811-3_46
Barrile, V., Cacciola, M., Morabito, F.C., Versaci, M.: TEC measurements through GPS and artificial intelligence. J. Electromagn. Waves Appl. 20, 1211–1220 (2006). https://doi.org/10.1163/156939306777442962
Barrile, V., Bilotta, G., Fotia, A.: Analysis of hydraulic risk territories: comparison between LIDAR and other different techniques for 3D modeling. WSEAS Trans. Environ. Dev. 14, 45–52 (2018)
Dore, C., Murphy, M.: Historic building information modeling (HBIM). In: Brusaporci, S. (ed.) Handbook of Research on Emerging Digital Tools for Architectural Surveying, Modeling, and Representation, pp. 239–279. IGI Global (2015)
Barrile, V., Bernardo, E., Candela, G., Bilotta, G., Modafferi, A., Fotia, A.: Road infrastructure heritage: from scan to Infrabim. WSEAS Trans. Environ. Dev. V 16, 633–642 (2020)
Oreni, D., Brumana, R., Cuca, B.: Towards a methodology for 3D content models: the reconstruction of ancient vaults for maintenance and structural behaviour in the logic of BIM management. In: 2012 18th International Conference on Virtual Systems and Multimedia, Milan, pp. 475–482 (2012). https://doi.org/10.1109/VSMM.2012.6365961
Barrile, V., Meduri, G.M., Bilotta, G.: Comparison between two methods for monitoring deformation with laser scanner. WSEAS Trans. Signal Process. 10(1), 497–503 (2014)
Barrile, V., Meduri, G.M., Bilotta, G.: Laser scanner technology for complex surveying structures. WSEAS Trans. Signal Process. 7(3), 65–74 (2011)
Barrile, V., Meduri, G.M., Bilotta, G.: Laser scanner surveying techniques aiming to the study and the spreading of recent architectural structures. In: Proceedings of the 2nd WSEAS International Conference on Engineering Mechanics, Structures and Engineering Geology, EMESEG 2009, pp. 25–28 (2009)
Özdemir, E., Remondino, F.: Segmentation of 3D photogrammetric point cloud for 3D building modeling. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci. XLII-4/W10, 135–142 (2018)
Paris, L., Wahbeh, W.: Survey and representation of the parametric geometries in HBIM. Disegnarecon 9(16), 12.1–12.9 (2016)
Barrile, V., Candela, G., Fotia, A.: Point cloud segmentation using image processing techniques for structural analysis. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci. XLII-2/W11, 187–193 (2019). https://doi.org/10.5194/isprs-archives-XLII-2-W11-187-2019
Acknowledgements
The author thank MTC srl for the help and availability on the elaboration operations.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Amodeo, F., Castagnoli, D.R., Marino, D., Repaci, P., Siclari, A. (2022). Sant’Aniceto Castle from the Survey to the Enhancement. In: Calabrò, F., Della Spina, L., Piñeira Mantiñán, M.J. (eds) New Metropolitan Perspectives. NMP 2022. Lecture Notes in Networks and Systems, vol 482. Springer, Cham. https://doi.org/10.1007/978-3-031-06825-6_195
Download citation
DOI: https://doi.org/10.1007/978-3-031-06825-6_195
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-06824-9
Online ISBN: 978-3-031-06825-6
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)