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dc.contributor.authorAntón García, Daniel
dc.contributor.authorCarretero Ayuso, Manuel Jesús
dc.contributor.authorMoyano Campos, Juan José
dc.contributor.authorNieto Julián, Juan Enrique
dc.date.accessioned2023-07-11T06:22:59Z
dc.date.available2023-07-11T06:22:59Z
dc.date.issued2022
dc.identifier.citationAntón García, D., Carretero Ayuso, M. J., Moyano Campos, J. J. y Nieto Julián, J. E. (2022). Laser Scanning Intensity Fingerprint: 3D Visualisation and Analysis of Building Surface Deficiencies. Lecture Notes in Civil Engineering, (Vol 258, pp. , 223-207). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-19-1894-0_12es
dc.identifier.isbn23662557
dc.identifier.urihttp://hdl.handle.net/20.500.12251/2944
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. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.en
dc.language.isoenges
dc.publisherSpringer Science and Businesses
dc.titleLaser Scanning Intensity Fingerprint: 3D Visualisation and Analysis of Building Surface Deficienciesen
dc.typebookPartes
dc.identifier.doi10.1007/978-981-19-1894-0_12
dc.identifier.urlhttps://doi.org/10.1007/978-981-19-1894-0_12
dc.page.initial207es
dc.page.final223es
dc.subject.keywordEscáner Láser 3Des
dc.subject.keywordNube de puntoses
dc.subject.keywordPatologías - Construcciónes
dc.subject.keywordConservación del Patrimonioes
dc.subject.unesco3305.34 Topografía de la Edificaciónes
dc.subject.unesco3305.26 Edificios Públicoses
dc.subject.unesco6201.01 Diseño Arquitectónicoes
dc.volume.number258


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