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Concrete Preliminary Damage Inspection by Classification of Terrestrial Laser Scanner Point Clouds through Systematic Threshold Definition

Geomatics Engineering Department, University of Calgary, Calgary, AB T2N 1N4, Canada
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ISPRS Int. J. Geo-Inf. 2019, 8(12), 585; https://doi.org/10.3390/ijgi8120585
Received: 25 October 2019 / Revised: 2 December 2019 / Accepted: 9 December 2019 / Published: 13 December 2019
(This article belongs to the Special Issue Geospatial Monitoring with Hyperspatial Point Clouds)
This paper presents a novel approach for automatic, preliminary detection of damage in concrete structures using ground-based terrestrial laser scanners. The method is based on computation of defect-sensitive features such as the surface curvature, since the surface roughness changes strongly if an area is affected by damage. A robust version of principal component analysis (PCA) classification is proposed to distinguish between structural damage and outliers present in the laser scanning data. Numerical simulations were conducted to develop a systematic point-wise defect classifier that automatically diagnoses the location of superficial damage on the investigated region. The method provides a complete picture of the surface health of concrete structures. It has been tested on two real datasets: a concrete heritage aqueduct in Brooks, Alberta, Canada; and a civil pedestrian concrete structure. The experiment results demonstrate the validity and accuracy of the proposed systematic framework for detecting and localizing areas of damage as small as 1 cm or less. View Full-Text
Keywords: structural damage assessment; TLS; automatic damage classification; robust PCA; systematic threshold structural damage assessment; TLS; automatic damage classification; robust PCA; systematic threshold
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Hadavandsiri, Z.; Lichti, D.D.; Jahraus, A.; Jarron, D. Concrete Preliminary Damage Inspection by Classification of Terrestrial Laser Scanner Point Clouds through Systematic Threshold Definition. ISPRS Int. J. Geo-Inf. 2019, 8, 585.

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