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dc.contributor.authorKim, Dong Hyun
dc.contributor.authorPoropat, George V
dc.contributor.authorGratchev, Ivan
dc.contributor.authorBalasubramaniam, Arumugam
dc.date.accessioned2018-09-11T02:12:54Z
dc.date.available2018-09-11T02:12:54Z
dc.date.issued2015
dc.identifier.issn1365-1609
dc.identifier.doi10.1016/j.ijrmms.2015.09.007
dc.identifier.urihttp://hdl.handle.net/10072/101604
dc.description.abstractThis research describes the influences of the focal length of lenses as well as camera-to-object distances that control the accuracy and precision of 3D photogrammetry models used for assessing joint roughness coefficients (JRC). A parabolic error model, which is developed by a series of photogrammetric laboratory tests, is used to improve the JRC data distributions obtained from the photogrammetry 3D models. The influences of camera-to-object distances and focal lengths on the accuracy of JRC values are investigated in laboratory conditions. A series of photogrammetry tests are performed under different conditions by varying the camera-to-object distances and the camera lens focal lengths. The camera positions are controlled on a sliding device to increase the accuracy of geo-referencing. The results suggest the allowable photographic distances for the employed photogrammetry equipment (e.g. camera and focal lengths of lenses) to estimate JRC values through comparison with the manually measured values. The root-mean-square-error (RMSE) of JRC functions, which are correlated with the camera distances and the normalized JRC values, are depicted as different size parabolic curves according to the employed focal lengths. These models successfully improve on the accuracy of the originally obtained JRC distributions.
dc.description.peerreviewedYes
dc.languageEnglish
dc.language.isoeng
dc.publisherPergamon
dc.relation.ispartofpagefrom19
dc.relation.ispartofpageto30
dc.relation.ispartofjournalInternational Journal of Rock Mechanics and Mining Sciences
dc.relation.ispartofvolume80
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.titleImprovement of photogrammetric JRC data distributions based on parabolic error models
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
gro.facultyGriffith Sciences, Griffith School of Engineering
gro.hasfulltextNo Full Text
gro.griffith.authorBalasubramaniam, Bala B.
gro.griffith.authorGratchev, Ivan
gro.griffith.authorKim, Dong Hyun H.


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