Change detection and deformation analysis using static and mobile laser scanning

Lindenbergh, Roderik; Pietrzyk, Peter

doi:10.1007/s12518-014-0151-y

Cited by 90 publications

(70 citation statements)

References 38 publications

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“…Recently, improvements in computational power and efficient processing algorithms have allowed digital photogrammetric methods to be of extensive practical use [21,[37][38][39].…”

Section: Methodsmentioning

confidence: 99%

“…Supplementary details on such processes and algorithms are beyond the aim of this paper, and the reader should review the standard references for more on the topic, e.g., [38,39,[45][46][47][48]. Digital photogrammetry can provide 3D coordinates of points on a surface, and by comparing the locations of the surface, represented by the points in 3D space, at different times, it is possible to infer surface movements.…”

Section: Methodsmentioning

confidence: 99%

“…Photogrammetry provides the ability to obtain quantitative measurements from 3D models created from quality easily documented two-dimensional (2D) images, and has been used for assessing the condition of transportation assets [21,37]. Research has been documented in which photogrammetry or Structure from Motion (SfM) techniques and terrestrial laser scanning (TLS) were applied for 3D reconstruction for civil infrastructure systems [38][39][40][41][42][43][44]. Very few efforts have been conducted to investigate the application of photogrammetry for retaining wall infrastructure systems providing a more budget-friendly evaluation for geotechnical assets.…”

Section: Introductionmentioning

confidence: 99%

“…Very few efforts have been conducted to investigate the application of photogrammetry for retaining wall infrastructure systems providing a more budget-friendly evaluation for geotechnical assets. Integrating non-contact photogrammetry techniques is advantageous with widely available quality digital single lens reflex (DSLR) cameras and advancing computer processing capabilities with open source software options [16,[34][35][36][37][38][39]. Applying this to the vast geotechnical infrastructure to not only provide automatic easy data-logged qualitative documentation of condition, but also quantitative changes, can further advance retaining wall asset management [10,13,14,16].…”

Section: Introductionmentioning

confidence: 99%

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A Novel Application of Photogrammetry for Retaining Wall Assessment

2017

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Abstract:Retaining walls are critical geotechnical assets and their performance needs to be monitored in accordance to transportation asset management principles. Current practices for retaining wall monitoring consist mostly of qualitative approaches that provide limited engineering information or the methods include traditional geodetic surveying, which may provide high accuracy and reliability, but is costly and time-consuming. This study focuses on evaluating failure modes of a 2.43 m × 2.43 m retaining wall model using three-dimensional (3D) photogrammetry as a cost-effective quantitative alternative for retaining wall monitoring. As a remote sensing technique, photogrammetry integrates images collected from a camera and creates a 3D model from the measured data points commonly referred to as a point cloud. The results from this photogrammetric approach were compared to ground control points surveyed with a total station. The analysis indicates that the accuracy of the displacement measurements between the traditional total station survey and photogrammetry were within 1-3 cm. The results are encouraging for the adoption of photogrammetry as a cost-effective monitoring tool for the observation of spatial changes and failure modes for retaining wall condition assessment.

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“…Recently, improvements in computational power and efficient processing algorithms have allowed digital photogrammetric methods to be of extensive practical use [21,[37][38][39].…”

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A Novel Application of Photogrammetry for Retaining Wall Assessment

2017

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“…For TLS-based change detection and deformation analysis, one has to consider the following four main challenges: (1) local variations in measurement geometry and surface properties, which means that parts of the surface might not be sampled in a 30 repeated TLS survey, (2) registration errors, which can result in systematic shifts, (3) different viewpoints, which may lead to occlusion effects and (4) temporary objects (Lindenbergh and Pietrzyk, 2015). The sampling effect (challenge 1), is caused by various factors, such as vegetation height and density, as well as surface roughness and the scan setup.…”

Section: Introductionmentioning

confidence: 99%

Terrestrial laser scanning for quantifying small-scale vertical movements of the ground surface in Artic permafrost regions

Marx

Anders

Antonova

et al. 2017

Preprint

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Abstract. Three-dimensional data acquired by terrestrial laser scanning (TLS) provides an accurate representation of Earth's surface, which is commonly used to detect and quantify topographic changes on a small scale. However, in Arctic permafrost regions the tundra vegetation and the micro-topography have significant effects on the surface representation in the captured dataset. The resulting spatial sampling of the ground is never identical between two TLS surveys. Thus, monitoring of heave and subsidence in the context of permafrost processes are challenging. This study evaluates TLS for quantifying small-scale 15 vertical movements in an area located within the continuous permafrost zone, 50 km north-east of Inuvik, Northwest Territories, Canada. We propose a novel filter strategy, which accounts for spatial sampling effects and identifies TLS points suitable for multi-temporal deformation analyses. Further important prerequisites must be met, such as accurate co-registration of the TLS datasets. We found that if the ground surface is captured by more than one TLS scan position, plausible subsidence rates (up to mm-scale) can be derived; compared to e.g. standard raster-based DEM difference maps which contain change 20 rates strongly affected by sampling effects.

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