Log InRegister
Quick Links : The Mindat ManualThe Rock H. Currier Digital LibraryMindat Newsletter [Free Download]
Home PageAbout MindatThe Mindat ManualHistory of MindatCopyright StatusWho We AreContact UsAdvertise on Mindat
Donate to MindatCorporate SponsorshipSponsor a PageSponsored PagesMindat AdvertisersAdvertise on Mindat
Learning CenterWhat is a mineral?The most common minerals on earthInformation for EducatorsMindat ArticlesThe ElementsThe Rock H. Currier Digital LibraryGeologic Time
Minerals by PropertiesMinerals by ChemistryAdvanced Locality SearchRandom MineralRandom LocalitySearch by minIDLocalities Near MeSearch ArticlesSearch GlossaryMore Search Options
Search For:
Mineral Name:
Locality Name:
Keyword(s):
 
The Mindat ManualAdd a New PhotoRate PhotosLocality Edit ReportCoordinate Completion ReportAdd Glossary Item
Mining CompaniesStatisticsUsersMineral MuseumsClubs & OrganizationsMineral Shows & EventsThe Mindat DirectoryDevice SettingsThe Mineral Quiz
Photo SearchPhoto GalleriesSearch by ColorNew Photos TodayNew Photos YesterdayMembers' Photo GalleriesPast Photo of the Day GalleryPhotography

Weidner, L., Walton, G., Kromer, R. (2019) Classification methods for point clouds in rock slope monitoring: A novel machine learning approach and comparative analysis. Engineering Geology, 263. 105326pp. doi:10.1016/j.enggeo.2019.105326

Advanced
   -   Only viewable:
Reference TypeJournal (article/letter/editorial)
TitleClassification methods for point clouds in rock slope monitoring: A novel machine learning approach and comparative analysis
JournalEngineering Geology
AuthorsWeidner, L.Author
Walton, G.Author
Kromer, R.Author
Year2019 (December)Volume263
PublisherElsevier BV
DOIdoi:10.1016/j.enggeo.2019.105326Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID7764009Long-form Identifiermindat:1:5:7764009:9
GUID0
Full ReferenceWeidner, L., Walton, G., Kromer, R. (2019) Classification methods for point clouds in rock slope monitoring: A novel machine learning approach and comparative analysis. Engineering Geology, 263. 105326pp. doi:10.1016/j.enggeo.2019.105326
Plain TextWeidner, L., Walton, G., Kromer, R. (2019) Classification methods for point clouds in rock slope monitoring: A novel machine learning approach and comparative analysis. Engineering Geology, 263. 105326pp. doi:10.1016/j.enggeo.2019.105326
In(2019) Engineering Geology Vol. 263. Elsevier BV

See Also

These are possibly similar items as determined by title/reference text matching only.

Weidner, Luke, Walton, Gabriel (2021) The influence of training data variability on a supervised machine learning classifier for Structure from Motion (SfM) point clouds of rock slopes. Engineering Geology, 294. 106344pp. doi:10.1016/j.enggeo.2021.106344
Liu, Ya-Ching, Chen, Chao-Shi (2007) A new approach for application of rock mass classification on rock slope stability assessment. Engineering Geology, 89 (1). 129-143 doi:10.1016/j.enggeo.2006.09.017
Weidner, Luke, Walton, Gabriel, Krajnovich, Ashton (2021) Classifying rock slope materials in photogrammetric point clouds using robust color and geometric features. ISPRS Journal of Photogrammetry and Remote Sensing, 176. 15-29 doi:10.1016/j.isprsjprs.2021.04.001
Topal, T. (2007) Discussion of “A new approach for application of rock mass classification on rock slope stability assessment” by Liu and Chen, Engineering Geology, 89:129–143 (2007). Engineering Geology, 95 (3). 99-100 doi:10.1016/j.enggeo.2007.07.001
Chen, Qian, Ge, Yunfeng, Tang, Huiming (2024) Rock discontinuities characterization from large-scale point clouds using a point-based deep learning method. Engineering Geology, 337. 107585 doi:10.1016/j.enggeo.2024.107585
Weidner, Luke, Walton, Gabriel, Kromer, Ryan (2020) Generalization considerations and solutions for point cloud hillslope classifiers. Geomorphology, 354. 107039 doi:10.1016/j.geomorph.2020.107039
Walton, G., Mills, G., Fotopoulos, G., Radovanovic, R., Stancliffe, R.P.W. (2016) An approach for automated lithological classification of point clouds. Geosphere, 12. 1833-1841 doi:10.1130/ges01326.1
Riquelme, Adrián J., Abellán, Antonio, Tomás, Roberto (2015) Discontinuity spacing analysis in rock masses using 3D point clouds. Engineering Geology, 195. 185-195 doi:10.1016/j.enggeo.2015.06.009
Chen, Zuyu, Du, Jifang, Yan, Jijun, Sun, Ping, Li, Kangping, Li, Yanlong (2019) Point estimation method: Validation, efficiency improvement, and application to embankment slope stability reliability analysis. Engineering Geology, 263. 105232pp. doi:10.1016/j.enggeo.2019.105232
Kromer, Ryan A., Hutchinson, D. Jean, Lato, Matt J., Gauthier, Dave, Edwards, Thomas (2015) Identifying rock slope failure precursors using LiDAR for transportation corridor hazard management. Engineering Geology, 195. 93-103 doi:10.1016/j.enggeo.2015.05.012
Wang, Ze-Zhou, Goh, Siang Huat (2021) Novel approach to efficient slope reliability analysis in spatially variable soils. Engineering Geology, 281. 105989pp. doi:10.1016/j.enggeo.2020.105989
 
and/or  
Mindat.org is an outreach project of the Hudson Institute of Mineralogy, a 501(c)(3) not-for-profit organization.
Copyright © mindat.org and the Hudson Institute of Mineralogy 1993-2025, except where stated. Most political location boundaries are © OpenStreetMap contributors. Mindat.org relies on the contributions of thousands of members and supporters. Founded in 2000 by Jolyon Ralph.
To cite: Ralph, J., Von Bargen, D., Martynov, P., Zhang, J., Que, X., Prabhu, A., Morrison, S. M., Li, W., Chen, W., & Ma, X. (2025). Mindat.org: The open access mineralogy database to accelerate data-intensive geoscience research. American Mineralogist, 110(6), 833–844. doi:10.2138/am-2024-9486.
Privacy Policy - Terms & Conditions - Contact Us / DMCA issues - Report a bug/vulnerability Current server date and time: August 27, 2025 12:45:57
Go to top of page