Terrestrial laser scanning intensity data applied to damage detection for historical buildings

Armesto, Julia; Riveiro, Belén; González‐Aguilera, Diego; Rivas, T.

doi:10.1016/j.jas.2010.06.031

Cited by 158 publications

(80 citation statements)

References 29 publications

(27 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Archaeological applications vary such as in [25] to reconstruct a high-resolution 3D models from the point cloud of a cave with engravings dating back to the Upper Palaeolithic era, in [26] to study the damage that affected the granitic rock of the ruins of the Santo Domingo (Spain), or in [27] for the 3D visualization of an abandoned settlement site located in the Central Highlands (Scotland). More recent procedures make use of TLS to reconstruct the Haut-Andlau Castle (France) [28], or in [29] to map the Pindal Cave (Spain).…”

Section: Archaeological Field Workmentioning

confidence: 99%

3D Point Clouds in Archaeology: Advances in Acquisition, Processing and Knowledge Integration Applied to Quasi-Planar Objects

Poux

Neuville

Wersch³

et al. 2017

Geosciences

View full text Add to dashboard Cite

Digital investigations of the real world through point clouds and derivatives are changing how curators, cultural heritage researchers and archaeologists work and collaborate. To progressively aggregate expertise and enhance the working proficiency of all professionals, virtual reconstructions demand adapted tools to facilitate knowledge dissemination. However, to achieve this perceptive level, a point cloud must be semantically rich, retaining relevant information for the end user. In this paper, we review the state of the art of point cloud integration within archaeological applications, giving an overview of 3D technologies for heritage, digital exploitation and case studies showing the assimilation status within 3D GIS. Identified issues and new perspectives are addressed through a knowledge-based point cloud processing framework for multi-sensory data, and illustrated on mosaics and quasi-planar objects. A new acquisition, pre-processing, segmentation and ontology-based classification method on hybrid point clouds from both terrestrial laser scanning and dense image matching is proposed to enable reasoning for information extraction. Experiments in detection and semantic enrichment show promising results of 94% correct semantization. Then, we integrate the metadata in an archaeological smart point cloud data structure allowing spatio-semantic queries related to CIDOC-CRM. Finally, a WebGL prototype is presented that leads to efficient communication between actors by proposing optimal 3D data visualizations as a basis on which interaction can grow.

show abstract

Section: Archaeological Field Workmentioning

confidence: 99%

3D Point Clouds in Archaeology: Advances in Acquisition, Processing and Knowledge Integration Applied to Quasi-Planar Objects

Poux

Neuville

Wersch³

et al. 2017

Geosciences

View full text Add to dashboard Cite

show abstract

“…If the returning wave is in its complete, the accuracy of the distance measurements can be improved by means of additional processing. Moreover, these are some of the most commonly used three-dimensional data for visualization and documentation of cultural heritage objects (Armesto-González et al, 2010), (Bardsley and Bai, 2007), , (Sester, 2007), (Wilinska et al, 2012).…”

Section: Terrestrial Laser Scanningmentioning

confidence: 99%

Integration of Point Clouds and Images Acquired From a Low-Cost Nir Camera Sensor for Cultural Heritage Purposes

Kędzierski

Walczykowski

Wojtkowska

et al. 2017

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

View full text Add to dashboard Cite

ABSTRACT:Terrestrial Laser Scanning is currently one of the most common techniques for modelling and documenting structures of cultural heritage. However, only geometric information on its own, without the addition of imagery data is insufficient when formulating a precise statement about the status of studies structure, for feature extraction or indicating the sites to be restored. Therefore, the Authors propose the integration of spatial data from terrestrial laser scanning with imaging data from low-cost cameras. The use of images from low-cost cameras makes it possible to limit the costs needed to complete such a study, and thus, increasing the possibility of intensifying the frequency of photographing and monitoring of the given structure. As a result, the analysed cultural heritage structures can be monitored more closely and in more detail, meaning that the technical documentation concerning this structure is also more precise. To supplement the laser scanning information, the Authors propose using both images taken both in the near-infrared range and in the visible range. This choice is motivated by the fact that not all important features of historical structures are always visible RGB, but they can be identified in NIR imagery, which, with the additional merging with a threedimensional point cloud, gives full spatial information about the cultural heritage structure in question. The Authors proposed an algorithm that automates the process of integrating NIR images with a point cloud using parameters, which had been calculated during the transformation of RGB images. A number of conditions affecting the accuracy of the texturing had been studies, in particular, the impact of the geometry of the distribution of adjustment points and their amount on the accuracy of the integration process, the correlation between the intensity value and the error on specific points using images in different ranges of the electromagnetic spectrum and the selection of the optimal method of transforming the acquired imagery. As a result of the research, an innovative solution was achieved, giving high accuracy results and taking into account a number of factors important in the creation of the documentation of historical structures. In addition, thanks to the designed algorithm, the final result can be obtained in a very short time at a high level of automation, in relation to similar types of studies, meaning that it would be possible to obtain a significant data set for further analyses and more detailed monitoring of the state of the historical structures.

show abstract

“…According to (Armesto-González, 2010), the effectiveness of intensity analysis does not appear to be restricted to certain wavelengths. Three different TLS systems were utilising for the damage detection of historical buildings.…”

Section: Related Workmentioning

confidence: 99%

“…Increasing usage of TLS has instigated extensive research with Light Detection And Ranging (LiDAR) technology, resulting in applications ranging from building modelling, deformation monitoring, terrain mapping and heritage preservation (Armesto-González, 2010). Archaeological usage specifically has increased significantly in the past decade, with numerous heritage sites being captured worldwide (Briese, 2013).…”

Section: Introductionmentioning

confidence: 99%

Multispectral Analysis of Indigenous Rock Art Using Terrestrial Laser Scanning

Skoog

Helmholz

Belton

2016

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

View full text Add to dashboard Cite

ABSTRACT:Multispectral analysis is a widely used technique in the photogrammetric and remote sensing industry. The use of Terrestrial Laser Scanning (TLS) in combination with imagery is becoming increasingly common, with its applications spreading to a wider range of fields. Both systems benefit from being a non-contact technique that can be used to accurately capture data regarding the target surface. Although multispectral analysis is actively performed within the spatial sciences field, its extent of application within an archaeological context has been limited. This study effectively aims to apply the multispectral techniques commonly used, to a remote Indigenous site that contains an extensive gallery of aging rock art. The ultimate goal for this research is the development of a systematic procedure that could be applied to numerous similar sites for the purpose of heritage preservation and research. The study consisted of extensive data capture of the rock art gallery using two different TLS systems and a digital SLR camera. The data was combined into a common 2D reference frame that allowed for standard image processing to be applied. An unsupervised k-means classifier was applied to the multiband images to detect the different types of rock art present. The result was unsatisfactory as the subsequent classification accuracy was relatively low. The procedure and technique does however show potential and further testing with different classification algorithms could possibly improve the result significantly.

show abstract

Terrestrial laser scanning intensity data applied to damage detection for historical buildings

Cited by 158 publications

References 29 publications

3D Point Clouds in Archaeology: Advances in Acquisition, Processing and Knowledge Integration Applied to Quasi-Planar Objects

3D Point Clouds in Archaeology: Advances in Acquisition, Processing and Knowledge Integration Applied to Quasi-Planar Objects

Integration of Point Clouds and Images Acquired From a Low-Cost Nir Camera Sensor for Cultural Heritage Purposes

Multispectral Analysis of Indigenous Rock Art Using Terrestrial Laser Scanning

Contact Info

Product

Resources

About