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dc.contributor.authorKim, Dong Hyun
dc.contributor.authorPoropat, George
dc.contributor.authorGratchev, Ivan
dc.contributor.authorBalasubramaniam, Arumugam
dc.date.accessioned2018-11-06T00:17:55Z
dc.date.available2018-11-06T00:17:55Z
dc.date.issued2016
dc.identifier.issn0723-2632
dc.identifier.doi10.1007/s00603-016-1042-9
dc.identifier.urihttp://hdl.handle.net/10072/99714
dc.description.abstractBy using close range photogrammetry, this article investigates the accuracy of the photogrammetric estimation of rock joint roughness coefficients (JRC), a measure of the degree of roughness of rock joint surfaces. This methodology has proven to be convenient both in laboratory and in site conditions. However, the accuracy and precision of roughness profiles obtained from photogrammetric 3D images have not been properly established due to the variances caused by factors such as measurement errors and systematic errors in photogrammetry. In this study, the influences of camera-to-object distance, focal length and profile orientation on the accuracy of JRC values are investigated using several photogrammetry field surveys. Directional photogrammetric JRC data are compared with data derived from the measured profiles, so as to determine their accuracy. The extent of the accuracy of JRC values was examined based on the error models which were previously developed from laboratory tests and revised for better estimation in this study. The results show that high-resolution 3D images (point interval ≤1 mm) can reduce the JRC errors obtained from field photogrammetric surveys. Using the high-resolution images, the photogrammetric JRC values in the range of high oblique camera angles are highly consistent with the revised error models. Therefore, the analysis indicates that the revised error models facilitate the verification of the accuracy of photogrammetric JRC values.
dc.description.peerreviewedYes
dc.languageEnglish
dc.publisherSpringer
dc.relation.ispartofpagefrom1
dc.relation.ispartofpageto17
dc.relation.ispartofjournalRock Mechanics and Rock Engineering
dc.subject.fieldofresearchCivil Geotechnical Engineering
dc.subject.fieldofresearchCivil Engineering
dc.subject.fieldofresearchResources Engineering and Extractive Metallurgy
dc.subject.fieldofresearchcode090501
dc.subject.fieldofresearchcode0905
dc.subject.fieldofresearchcode0914
dc.titleAssessment of the Accuracy of Close Distance Photogrammetric JRC Data
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
dc.description.versionPost-print
gro.facultyGriffith Sciences, Griffith School of Engineering
gro.description.notepublicThis publication has been entered into Griffith Research Online as an Advanced Online Version.
gro.rights.copyright© 2016 Springer-Verlag Wien. This is an electronic version of an article published in Rock Mechanics and Rock Engineering, 2016, Volume 49, Issue 11, pp 4285–4301. Rock Mechanics and Rock Engineering is available online at: http://link.springer.com/ with the open URL of your article.
gro.hasfulltextFull Text
gro.griffith.authorBalasubramaniam, Bala B.
gro.griffith.authorGratchev, Ivan
gro.griffith.authorKim, Dong Hyun H.


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