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dc.contributor.editorBienvenido Huertas, José Davides
dc.contributor.editorMoyano, Juanes
dc.creatorAntón García, Danieles
dc.creatorCarretero-Ayuso, Manuel Jesúses
dc.creatorMoyano, Juanes
dc.creatorNieto Julián, Juan Enriquees
dc.date.accessioned2023-06-15T08:05:17Z
dc.date.available2023-06-15T08:05:17Z
dc.date.issued2022
dc.identifier.citationAntón García, D., Carretero Ayuso, M.J.,...,Nieto Julián, J.E. (2022). Laser scanning intensity fingerprint: 3D visualisation and analysis of building surface deficiencies. En J.D. Bienvenido Huertas, J. Moyano (Ed.), New technologies in building and construction : towards sustainable development (pp. 207-223). Singapore: Springer.
dc.identifier.isbn9789811918933es
dc.identifier.isbn9789811918940es
dc.identifier.urihttps://hdl.handle.net/11441/147231
dc.description.abstractTerrestrial laser scanning (TLS) is a widely used technology in numerous sectors since it enables the recording of both geometric data and colour information of the objects. Moreover, this remote sensing technique allows for producing point clouds enhanced with the reflection intensity of the laser beam. Scientific research has used those data to detect and assess building surface deficiencies. However, the laser scanning intensity fingerprint of a building pathology is yet to be addressed. Thus, this research quantitatively analyses the distribution of point cloud intensities throughout the object geometry to show changes against the general context of the building component surface. This intensity fingerprint reveals the extent of the pathology, which leads to filtering the point cloud by those intensity values to extract and calculate the surface defect. On this basis, TLS is proven to be useful to record, detect, characterise, and examine specific building surface deficiencies and carry out the conservation status analysis of the assets surveyed. The case studies in this chapter are heritage buildings with clear surface pathologies. However, given the relationship between the building surface deficiencies and the point cloud data intensities, this research can also be applied to detect anomalies in modern buildings and constructions.es
dc.formatapplication/pdfes
dc.format.extent17 p.es
dc.language.isoenges
dc.publisherSpringeres
dc.relation.ispartofNew technologies in building and construction : towards sustainable developmentes
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectRemote sensinges
dc.subjectTerrestrial laser scanninges
dc.subjectIntensity fingerprintes
dc.subjectPoint cloudes
dc.subjectVisualisationes
dc.subjectSurface deficiencieses
dc.subjectConservation status analysises
dc.subjectPathologyes
dc.subjectHeritage buildinges
dc.titleLaser scanning intensity fingerprint: 3D visualisation and analysis of building surface deficiencieses
dc.typeinfo:eu-repo/semantics/bookPartes
dcterms.identifierhttps://ror.org/03yxnpp24
dc.type.versioninfo:eu-repo/semantics/publishedVersiones
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Expresión Gráfica e Ingeniería en la Edificaciónes
dc.relation.projectID08R20S04177es
dc.relation.publisherversionhttps://link.springer.com/chapter/10.1007/978-981-19-1894-0_12es
dc.identifier.doi10.1007/978-981-19-1894-0_12es
dc.contributor.groupUniversidad de Sevilla. TEP970: Innovación Tecnológica, Sistemas de Modelado 3d y Diagnosis Energética en Patrimonio y Edificaciónes
dc.publication.initialPage207es
dc.publication.endPage223es
dc.relation.publicationplaceSingaporees
dc.contributor.funderEuropean Commission (EC). Fondo Europeo de Desarrollo Regional (FEDER)es

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