Deformation analysis using B-spline surface with correlated terrestrial laser scanner observations-a bridge under load

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dc.identifier.uri http://dx.doi.org/10.15488/9892
dc.identifier.uri https://www.repo.uni-hannover.de/handle/123456789/9950
dc.contributor.author Kermarrec, Gaël
dc.contributor.author Kargoll, Boris
dc.contributor.author Alkhatib, Hamza
dc.date.accessioned 2020-06-29T15:21:46Z
dc.date.available 2020-06-29T15:21:46Z
dc.date.issued 2020
dc.identifier.citation Kermarrec, G.; Kargoll, B.; Alkhatib, H.: Deformation analysis using B-spline surface with correlated terrestrial laser scanner observations-a bridge under load. In: Remote Sensing 12 (2020), Nr. 5, 829. DOI: https://doi.org/10.3390/rs12050829
dc.description.abstract The choice of an appropriate metric is mandatory to perform deformation analysis between two point clouds (PC)-the distance has to be trustworthy and, simultaneously, robust against measurement noise, which may be correlated and heteroscedastic. The Hausdorff distance (HD) or its averaged derivation (AHD) are widely used to compute local distances between two PC and are implemented in nearly all commercial software. Unfortunately, they are affected by measurement noise, particularly when correlations are present. In this contribution, we focus on terrestrial laser scanner (TLS) observations and assess the impact of neglecting correlations on the distance computation when a mathematical approximation is performed. The results of the simulations are extended to real observations from a bridge under load. Highly accurate laser tracker (LT) measurements were available for this experiment: they allow the comparison of the HD and AHD between two raw PC or between their mathematical approximations regarding reference values. Based on these results, we determine which distance is better suited in the case of heteroscedastic and correlated TLS observations for local deformation analysis. Finally, we set up a novel bootstrap testing procedure for this distance when the PC are approximated with B-spline surfaces. eng
dc.language.iso eng
dc.publisher Basel : MDPI AG
dc.relation.ispartofseries Remote Sensing 12 (2020), Nr. 5
dc.relation.uri https://doi.org/10.3390/rs12050829
dc.rights CC BY 4.0 Unported
dc.rights.uri https://creativecommons.org/licenses/by/4.0/
dc.subject Averaged Hausdor distance eng
dc.subject B-splines eng
dc.subject Bootstrapping eng
dc.subject Correlations eng
dc.subject Deformation eng
dc.subject Hausdor distance eng
dc.subject Matérn covariance function eng
dc.subject Surface modelling eng
dc.subject Terrestrial laser scanning eng
dc.subject Deformation eng
dc.subject Interpolation eng
dc.subject Laser applications eng
dc.subject Scanning eng
dc.subject Spurious signal noise eng
dc.subject Averaged Hausdor distance eng
dc.subject B splines eng
dc.subject Bootstrapping eng
dc.subject Correlations eng
dc.subject Covariance function eng
dc.subject Hausdor distance eng
dc.subject Surface modelling eng
dc.subject Terrestrial laser scanning eng
dc.subject Surveying instruments eng
dc.subject.ddc 551 | Geologie, Hydrologie, Meteorologie ger
dc.subject.ddc 620 | Ingenieurwissenschaften und Maschinenbau ger
dc.title Deformation analysis using B-spline surface with correlated terrestrial laser scanner observations-a bridge under load eng
dc.type Article
dc.type Text
dc.relation.issn 2072-4292
dc.bibliographicCitation.issue 5
dc.bibliographicCitation.volume 12
dc.bibliographicCitation.firstPage 829
tib.accessRights frei zug�nglich


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