Laser scanning intensity fingerprint: 3D visualisation and analysis of building surface deficiencies

Terrestrial 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...

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Detalhes bibliográficos
Autores: Antón García, Daniel, Carretero-Ayuso, Manuel Jesús, Moyano, Juan, Nieto Julián, Juan Enrique, Bienvenido Huertas, José David (Coordinador), Moyano, Juan (Coordinador)
Formato: capítulo de livro
Estado:Versión publicada
Fecha de publicación:2022
País:España
Recursos:Universidad de Sevilla (US)
Repositorio:idUS. Depósito de Investigación de la Universidad de Sevilla
OAI Identifier:oai:idus.us.es:11441/147231
Acesso em linha:https://hdl.handle.net/11441/147231
https://doi.org/10.1007/978-981-19-1894-0_12
Access Level:acceso abierto
Palavra-chave:Remote sensing
Terrestrial laser scanning
Intensity fingerprint
Point cloud
Visualisation
Surface deficiencies
Conservation status analysis
Pathology
Heritage building
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spelling Laser scanning intensity fingerprint: 3D visualisation and analysis of building surface deficienciesAntón García, DanielCarretero-Ayuso, Manuel JesúsMoyano, JuanNieto Julián, Juan EnriqueBienvenido Huertas, José David (Coordinador)Moyano, Juan (Coordinador)Remote sensingTerrestrial laser scanningIntensity fingerprintPoint cloudVisualisationSurface deficienciesConservation status analysisPathologyHeritage buildingTerrestrial 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.SpringerBienvenido Huertas, José DavidMoyano, JuanExpresión Gráfica e Ingeniería en la EdificaciónTEP970: Innovación Tecnológica, Sistemas de Modelado 3d y Diagnosis Energética en Patrimonio y EdificaciónEuropean Commission (EC). Fondo Europeo de Desarrollo Regional (FEDER)2022info:eu-repo/semantics/bookPartinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttps://hdl.handle.net/11441/147231https://doi.org/10.1007/978-981-19-1894-0_12reponame:idUS. Depósito de Investigación de la Universidad de Sevillainstname:Universidad de Sevilla (US)InglésNew technologies in building and construction : towards sustainable development08R20S04177https://link.springer.com/chapter/10.1007/978-981-19-1894-0_12Singaporeinfo:eu-repo/semantics/openAccessoai:idus.us.es:11441/1472312026-06-17T12:51:07Z
dc.title.none.fl_str_mv Laser scanning intensity fingerprint: 3D visualisation and analysis of building surface deficiencies
title Laser scanning intensity fingerprint: 3D visualisation and analysis of building surface deficiencies
spellingShingle Laser scanning intensity fingerprint: 3D visualisation and analysis of building surface deficiencies
Antón García, Daniel
Remote sensing
Terrestrial laser scanning
Intensity fingerprint
Point cloud
Visualisation
Surface deficiencies
Conservation status analysis
Pathology
Heritage building
title_short Laser scanning intensity fingerprint: 3D visualisation and analysis of building surface deficiencies
title_full Laser scanning intensity fingerprint: 3D visualisation and analysis of building surface deficiencies
title_fullStr Laser scanning intensity fingerprint: 3D visualisation and analysis of building surface deficiencies
title_full_unstemmed Laser scanning intensity fingerprint: 3D visualisation and analysis of building surface deficiencies
title_sort Laser scanning intensity fingerprint: 3D visualisation and analysis of building surface deficiencies
dc.creator.none.fl_str_mv Antón García, Daniel
Carretero-Ayuso, Manuel Jesús
Moyano, Juan
Nieto Julián, Juan Enrique
Bienvenido Huertas, José David (Coordinador)
Moyano, Juan (Coordinador)
author Antón García, Daniel
author_facet Antón García, Daniel
Carretero-Ayuso, Manuel Jesús
Moyano, Juan
Nieto Julián, Juan Enrique
Bienvenido Huertas, José David (Coordinador)
Moyano, Juan (Coordinador)
author_role author
author2 Carretero-Ayuso, Manuel Jesús
Moyano, Juan
Nieto Julián, Juan Enrique
Bienvenido Huertas, José David (Coordinador)
Moyano, Juan (Coordinador)
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Bienvenido Huertas, José David
Moyano, Juan
Expresión Gráfica e Ingeniería en la Edificación
TEP970: Innovación Tecnológica, Sistemas de Modelado 3d y Diagnosis Energética en Patrimonio y Edificación
European Commission (EC). Fondo Europeo de Desarrollo Regional (FEDER)
dc.subject.none.fl_str_mv Remote sensing
Terrestrial laser scanning
Intensity fingerprint
Point cloud
Visualisation
Surface deficiencies
Conservation status analysis
Pathology
Heritage building
topic Remote sensing
Terrestrial laser scanning
Intensity fingerprint
Point cloud
Visualisation
Surface deficiencies
Conservation status analysis
Pathology
Heritage building
description Terrestrial 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.
publishDate 2022
dc.date.none.fl_str_mv 2022
dc.type.none.fl_str_mv info:eu-repo/semantics/bookPart
info:eu-repo/semantics/publishedVersion
format bookPart
status_str publishedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/11441/147231
https://doi.org/10.1007/978-981-19-1894-0_12
url https://hdl.handle.net/11441/147231
https://doi.org/10.1007/978-981-19-1894-0_12
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv New technologies in building and construction : towards sustainable development
08R20S04177
https://link.springer.com/chapter/10.1007/978-981-19-1894-0_12
Singapore
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Springer
publisher.none.fl_str_mv Springer
dc.source.none.fl_str_mv reponame:idUS. Depósito de Investigación de la Universidad de Sevilla
instname:Universidad de Sevilla (US)
instname_str Universidad de Sevilla (US)
reponame_str idUS. Depósito de Investigación de la Universidad de Sevilla
collection idUS. Depósito de Investigación de la Universidad de Sevilla
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.300719

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