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3D Data Fusion for Historical Analyses of Heritage Buildings Using Thermal Images: The Palacio de Colomina as a Case Study

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3D Data Fusion for Historical Analyses of Heritage Buildings Using Thermal Images: The Palacio de Colomina as a Case Study

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dc.contributor.author Patrucco, Giacomo es_ES
dc.contributor.author Gómez Gil, Antonio Miguel es_ES
dc.contributor.author Adineh, Ali es_ES
dc.contributor.author Rahrig, Max es_ES
dc.contributor.author Lerma, José Luis es_ES
dc.date.accessioned 2023-05-12T18:01:48Z
dc.date.available 2023-05-12T18:01:48Z
dc.date.issued 2022-11 es_ES
dc.identifier.issn 2072-4292 es_ES
dc.identifier.uri http://hdl.handle.net/10251/193312
dc.description.abstract [EN] In the framework of built heritage monitoring techniques, a prominent position is occu- pied by thermography, which represents an efficient and non-invasive solution for these kinds of investigations, allowing the identification of phenomena detectable only in the non-visible range of the electromagnetic spectrum. This is of extreme interest, especially considering the possibility of integrating the radiometric information with the 3D models achievable from laser scanning or pho- togrammetric techniques, characterised by a high spatial resolution. This paper aims to illustrate how combining different geomatics techniques (in particular, by merging thermal images, laser scanning point clouds, and traditional visible colour photogrammetric data) can efficiently support historical analyses for studying heritage buildings. Additionally, a strategy for generating HBIM models starting from the integration of 3D thermal investigations and historical sources is proposed, concerning both the multi-temporal modification of the volumes of the building and the individual architectural elements. The case study analysed for the current research was the Palacio de Co- lomina in Valencia, Spain, a noble palace¿now the headquarters of a university¿that, during the last few centuries, has been subjected to considerable transformations in terms of rehabilitation works and modification of its volume. es_ES
dc.description.sponsorship This research was funded by the Italian Ministry of Education, University, and Research (MIUR) through a PhD research scholarship (doctoral programme in Architectural and Landscape Heritage), and by the European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie, grant number 101032333. es_ES
dc.language Inglés es_ES
dc.publisher MDPI AG es_ES
dc.relation.ispartof Remote Sensing es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Cultural heritage es_ES
dc.subject Data fusion es_ES
dc.subject Thermal images es_ES
dc.subject Photogrammetry es_ES
dc.subject Non-invasive diagnostic es_ES
dc.subject Non-destructive testing (NDT) es_ES
dc.subject HBIM es_ES
dc.subject.classification INGENIERIA CARTOGRAFICA, GEODESIA Y FOTOGRAMETRIA es_ES
dc.subject.classification COMPOSICION ARQUITECTONICA es_ES
dc.title 3D Data Fusion for Historical Analyses of Heritage Buildings Using Thermal Images: The Palacio de Colomina as a Case Study es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.3390/rs14225699 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/101032333/EU es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería Cartográfica Geodesia y Fotogrametría - Departament d'Enginyeria Cartogràfica, Geodèsia i Fotogrametria es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escuela Técnica Superior de Arquitectura - Escola Tècnica Superior d'Arquitectura es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escuela Técnica Superior de Ingeniería Geodésica, Cartográfica y Topográfica - Escola Tècnica Superior d'Enginyeria Geodèsica, Cartogràfica i Topogràfica es_ES
dc.description.bibliographicCitation Patrucco, G.; Gómez Gil, AM.; Adineh, A.; Rahrig, M.; Lerma, JL. (2022). 3D Data Fusion for Historical Analyses of Heritage Buildings Using Thermal Images: The Palacio de Colomina as a Case Study. Remote Sensing. 14(22):1-23. https://doi.org/10.3390/rs14225699 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.3390/rs14225699 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 23 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 14 es_ES
dc.description.issue 22 es_ES
dc.relation.pasarela S\476687 es_ES
dc.contributor.funder European Commission es_ES
dc.contributor.funder Ministero dell'Istruzione, dell'Università e della Ricerca es_ES


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