3D digital documentation for disaster management in historic buildings: Applications following fire damage at the Mackintosh building, The Glasgow School of Art

Wilson, Lyn; Rawlinson, Alastair; Frost, Adam; Hepher, James

doi:10.1016/j.culher.2017.11.012

Cited by 48 publications

(22 citation statements)

References 4 publications

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“…The acquisition of geospatial information based on numeric data is very important for systematic management to respond to the deformation. The use of three-dimensional (3D) coordinate data for multi-faceted analysis has recently increased in the conservation and management of cultural heritage sites [1][2][3][4][5][6]. In particular, the precise investigation and monitoring of cultural heritage sites in terms of preventive conservation has gained attention, and digital documentation processes have been recognized as an essential element in conservation, rather than the active repair of cultural heritage sites [7][8][9].…”

Section: Introductionmentioning

confidence: 99%

Three-Dimensional Digital Documentation of Cultural Heritage Site Based on the Convergence of Terrestrial Laser Scanning and Unmanned Aerial Vehicle Photogrammetry

Hong

2019

IJGI

142

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Three-dimensional digital technology is important in the maintenance and monitoring of cultural heritage sites. This study focuses on using a combination of terrestrial laser scanning and unmanned aerial vehicle (UAV) photogrammetry to establish a three-dimensional model and the associated digital documentation of the Magoksa Temple, Republic of Korea. Herein, terrestrial laser scanning and UAV photogrammetry was used to acquire the perpendicular geometry of the buildings and sites, where UAV photogrammetry yielded higher planar data acquisition rate in upper zones, such as the roof of a building, than terrestrial laser scanning. On comparing the two technologies’ accuracy based on their ground control points, laser scanning was observed to provide higher positional accuracy than photogrammetry. The overall discrepancy between the two technologies was found to be sufficient for the generation of convergent data. Thus, the terrestrial laser scanning and UAV photogrammetry data were aligned and merged post conversion into compatible extensions. A three-dimensional (3D) model, with planar and perpendicular geometries, based on the hybrid data-point cloud was developed. This study demonstrates the potential for using the integration of terrestrial laser scanning and UAV photogrammetry in 3D digital documentation and spatial analysis of cultural heritage sites.

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Section: Introductionmentioning

confidence: 99%

Three-Dimensional Digital Documentation of Cultural Heritage Site Based on the Convergence of Terrestrial Laser Scanning and Unmanned Aerial Vehicle Photogrammetry

Hong

2019

IJGI

142

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“…Three-dimensional Digital Documentation and Accuracy Analysis of the Choijin Lama Temple in Mongolia / Young Hoon Jo,Jun Huyn Park,Eunki Hong,Wook Han | 265 the downtown section of Ulaanbaatar and is being deteriorated by environmental changes resulting from the harsh continental climate zone. Accordingly, digital documentation is very important in conserving and maintaining the value of the Choijin Lama Temple (Kioussi et al, 2013;Wilson et al, 2018;Campiani et al, 2019;Jo and Hong, 2019;Dalkılıç and Nabikoğlu, 2020). The 2015-2017 documentation projects focused on the 3D scanning of a single building.…”

Section: Research Articlementioning

confidence: 99%

Three-dimensional Digital Documentation and Accuracy Analysis of the Choijin Lama Temple in Mongolia

Park

Eun-Ki

et al. 2020

J. Conserv. Sci

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The Choijin Lama Temple is a representative example of 19th-to 20th-century architecture. The temple has been damaged by various development pressures and the effect of a harsh continental climate. This study digitalized the entire temple site using three-dimensional scanning to establish the basic data of conservational management and monitoring for spatial changes. A terrestrial laser scanning model of the temple was completed, which showed low registering error vectors (3.73 mm average) and dense point distances. Unmanned aerial vehicle (UAV) photogrammetry was also applied to verify its applicability to the spatial and environmental monitoring of the temple. The results showed that the overall point density of the UAV photogrammetry model is similar within a 10 mm resolution. The relatively low RMSE of UAV photogrammetry from the ground to the uppermost roof indicates the high applicability of integrating it with the terrestrial laser scanning model. The digital documentation of the Choijin Lama Temple is expected to have a great ripple effect on the documentation, conservation, and utilization of Mongolian cultural heritage sites.

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“…Conservation of historic structures has received particular attention [12], due in part to these forms of construction having complex and non-standardised structural components which are commonly deteriorated relative to age. Accurate point clouds have been shown to be used effectively for the generation of 3D models and further structural analysis [13,14], including through Finite Element Analysis [15].…”

Section: Processing Reality Capture Data For Supporting Surveyorsmentioning

confidence: 99%

Automated defect detection and classification in ashlar masonry walls using machine learning

Valero

Förster

Bosché

et al. 2019

Automation in Construction

Self Cite

124

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Methods employed for surveying buildings for condition have traditionally been reliant upon visual assessment and manual recording. Survey of traditional masonry also ostensibly conforms to this approach but, due to the sheer volume of masonry units composing walls, it is often prohibitively time consuming, exceptionally complex and ultimately costly. Notable features of such survey work for ashlar stone types require each stone to be labelled and overlaid with information relative to condition. Further hindering these already costly operations, it has been shown that the accuracy of reporting, including labelling the manifestation of defects and defect diagnosis, is subjective, depending upon the expertise and experience of those evaluating the fabric. Moving beyond these preliminary survey and reporting stages, this situation gives rise to variable repair and maintenance strategies that can have significant cost implications and can debase fundamental conservation activities. The development of digital technologies, such as terrestrial laser scanning, and advancements in novel computer vision statistical techniques can help produce accurate representation of buildings that can be subsequently rapidly processed, achieving many tangible survey functions with greater inherent objectivity. In this paper, an innovative strategy for automatic detection and classification of defects in digitised ashlar masonry walling is presented. The classification method is based on the use of supervised machine learning algorithms, assisted by surveyors' strategies and expertise to identify defective individual masonry units, through to broader global patterns for groups of stones. The proposed approach has been tested on the main façade of the Chapel Royal in Stirling Castle (Scotland), demonstrating its potential for ashlar masonry forms of wall construction. It is important to recognise that the findings are not limited to this culturally significant building and will be of high value to almost innumerable ashlar-built structures worldwide. The research ultimately attempts to reduce the degree of subjectivity in classifying defects, on a scale and rapidity hitherto beyond traditional project cost constraints. Importantly, it is recognised that through automation more effective utilisation of resources that would have been traditionally spent on survey can be redeployed to support fabric intervention or routine maintenance operations.

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3D digital documentation for disaster management in historic buildings: Applications following fire damage at the Mackintosh building, The Glasgow School of Art

Cited by 48 publications

References 4 publications

Three-Dimensional Digital Documentation of Cultural Heritage Site Based on the Convergence of Terrestrial Laser Scanning and Unmanned Aerial Vehicle Photogrammetry

Three-Dimensional Digital Documentation of Cultural Heritage Site Based on the Convergence of Terrestrial Laser Scanning and Unmanned Aerial Vehicle Photogrammetry

Three-dimensional Digital Documentation and Accuracy Analysis of the Choijin Lama Temple in Mongolia

Automated defect detection and classification in ashlar masonry walls using machine learning

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