Multispectral imaging for the documentation of graffiti in an urban environment

[EN] Multispectral imaging (MSI) is increasingly used for the documentation and analysis of cultural heritage. It provides conservators a powerful non-destructive technique (NDT) and non-contact tool for detecting damage, hidden features and material-specific characteristics. Hereby multispectral do...

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Authors: Rahrig, Max; Lerma, José Luis|||0000-0001-9443-9214
Format: Book chapter
Publication date:2023
Country:España
Institution:Universitat Politècnica de València (UPV)
Repository:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Language:English
OAI Identifier:oai:riunet.upv.es:10251/192192
Online Access:https://riunet.upv.es/handle/10251/192192
Access Level:Open access
Keyword:Multispectral imaging (MSI)
Non destructive techniques
Cultural heritage
Preventive conservation
Multispectral/multiband imaging
Wall paintings
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author Rahrig, Max
author2 Lerma, José Luis|||0000-0001-9443-9214
author2_role author
author_browse Lerma, José Luis|||0000-0001-9443-9214
Rahrig, Max
author_facet Rahrig, Max
Lerma, José Luis|||0000-0001-9443-9214
author_role author
collection RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
description [EN] Multispectral imaging (MSI) is increasingly used for the documentation and analysis of cultural heritage. It provides conservators a powerful non-destructive technique (NDT) and non-contact tool for detecting damage, hidden features and material-specific characteristics. Hereby multispectral documentation of wall paintings in an urban environment poses special challenges for the art expert. For example, these are often large works of art located outdoors on building façades. Excitation with artificial light in well-defined spectral ranges, as should ideally be the case in MSI, is therefore often not possible. In the following, low-cost variants of MSI (ultraviolet reflectography, visible light imaging and infrared reflectography) in combination with 3D photogrammetry and statistical methods for analysing image data are tested and discussed. Hereby, a metrically correct, large-scale documentation of wall paintings with accurate superimposed images of different spectral ranges will be generated by linking the MSI data in a photogrammetric image cluster to create individual texture maps for each spectral band. Furthermore, Principal Component Analysis (PCA) is used to extract additional information from the MSI data. The case studies are located on the campus of the Universitat Politècnica de València. 
eu_rights_str_mv openAccess
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institution Universitat Politècnica de València (UPV)
instname_str Universitat Politècnica de València (UPV)
language eng
network_acronym_str ES
network_name_str España
oai_identifier_str oai:riunet.upv.es:10251/192192
publishDate 2023
publishDateSort 2023
publisher Editorial Universitat Politècnica de València
publisherStr Editorial Universitat Politècnica de València
reponame_str RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
spelling Multispectral imaging for the documentation of graffiti in an urban environment Rahrig, Max Lerma, José Luis|||0000-0001-9443-9214 Multispectral imaging (MSI) Non destructive techniques Cultural heritage Preventive conservation Multispectral/multiband imaging Wall paintings [EN] Multispectral imaging (MSI) is increasingly used for the documentation and analysis of cultural heritage. It provides conservators a powerful non-destructive technique (NDT) and non-contact tool for detecting damage, hidden features and material-specific characteristics. Hereby multispectral documentation of wall paintings in an urban environment poses special challenges for the art expert. For example, these are often large works of art located outdoors on building façades. Excitation with artificial light in well-defined spectral ranges, as should ideally be the case in MSI, is therefore often not possible. In the following, low-cost variants of MSI (ultraviolet reflectography, visible light imaging and infrared reflectography) in combination with 3D photogrammetry and statistical methods for analysing image data are tested and discussed. Hereby, a metrically correct, large-scale documentation of wall paintings with accurate superimposed images of different spectral ranges will be generated by linking the MSI data in a photogrammetric image cluster to create individual texture maps for each spectral band. Furthermore, Principal Component Analysis (PCA) is used to extract additional information from the MSI data. The case studies are located on the campus of the Universitat Politècnica de València.  This study was carried out within the project “REVIEW– REVealing hIddEn Wall paintings” and has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 101032333 Editorial Universitat Politècnica de València https://riunet.upv.es/handle/10251/192192
spellingShingle Multispectral imaging for the documentation of graffiti in an urban environment
Rahrig, Max
Multispectral imaging (MSI)
Non destructive techniques
Cultural heritage
Preventive conservation
Multispectral/multiband imaging
Wall paintings
title Multispectral imaging for the documentation of graffiti in an urban environment
title_full Multispectral imaging for the documentation of graffiti in an urban environment
title_fullStr Multispectral imaging for the documentation of graffiti in an urban environment
title_full_unstemmed Multispectral imaging for the documentation of graffiti in an urban environment
title_short Multispectral imaging for the documentation of graffiti in an urban environment
title_sort Multispectral imaging for the documentation of graffiti in an urban environment
topic Multispectral imaging (MSI)
Non destructive techniques
Cultural heritage
Preventive conservation
Multispectral/multiband imaging
Wall paintings
topic_facet Multispectral imaging (MSI)
Non destructive techniques
Cultural heritage
Preventive conservation
Multispectral/multiband imaging
Wall paintings
url https://riunet.upv.es/handle/10251/192192