Matches in SemOpenAlex for { <https://semopenalex.org/work/W3098929771> ?p ?o ?g. }
Showing items 1 to 79 of
79
with 100 items per page.
- W3098929771 abstract "PreviousNext No Access18th International Conference on Ground Penetrating Radar, Golden, Colorado, 14–19 June 2020Automated feature detection in potash mine GPR data using a cluster ratio derivative (CRD) algorithmAuthors: Tokini BriggsVictor OknokwoRaman ParanjapeMatthew Van den BergheTokini BriggsUniversity of Regina, CanadaSearch for more papers by this author, Victor OknokwoUniversity of Regina, CanadaSearch for more papers by this author, Raman ParanjapeUniversity of Regina, CanadaSearch for more papers by this author, and Matthew Van den BergheNutrien Inc, CanadaSearch for more papers by this authorhttps://doi.org/10.1190/gpr2020-086.1 SectionsAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail Abstract GPR systems are utilized during underground potash mining to monitor the condition of the mine roof critical to its safe operation. An auto-picking algorithm has been developed to assist the boring machine operator to make quick, accurate, and consistent safety decisions using GPR data. Keywords: GPR, algorithm, interpretation, noise, miningPermalink: https://doi.org/10.1190/gpr2020-086.1FiguresReferencesRelatedDetails 18th International Conference on Ground Penetrating Radar, Golden, Colorado, 14–19 June 2020ISSN (online):2159-6832Copyright: 2020 Pages: 455 publication data© 2020 Published in electronic format with permission by the Society of Exploration GeophysicistsPublisher:Society of Exploration Geophysicists HistoryPublished Online: 11 Nov 2020 CITATION INFORMATION Tokini Briggs, Victor Oknokwo, Raman Paranjape, and Matthew Van den Berghe, (2020), Automated feature detection in potash mine GPR data using a cluster ratio derivative (CRD) algorithm, SEG Global Meeting Abstracts : 328-331. https://doi.org/10.1190/gpr2020-086.1 Plain-Language Summary KeywordsGPRalgorithminterpretationnoiseminingPDF DownloadLoading ..." @default.
- W3098929771 created "2020-11-23" @default.
- W3098929771 creator A5017245063 @default.
- W3098929771 creator A5022916167 @default.
- W3098929771 creator A5032096342 @default.
- W3098929771 creator A5041503392 @default.
- W3098929771 date "2020-11-11" @default.
- W3098929771 modified "2023-09-25" @default.
- W3098929771 title "Automated feature detection in potash mine GPR data using a cluster ratio derivative (CRD) algorithm" @default.
- W3098929771 cites W115229286 @default.
- W3098929771 cites W2001622803 @default.
- W3098929771 cites W2017262510 @default.
- W3098929771 cites W2089594292 @default.
- W3098929771 cites W2106804161 @default.
- W3098929771 cites W2282264169 @default.
- W3098929771 cites W2484238174 @default.
- W3098929771 cites W2521103711 @default.
- W3098929771 cites W3035208538 @default.
- W3098929771 doi "https://doi.org/10.1190/gpr2020-086.1" @default.
- W3098929771 hasPublicationYear "2020" @default.
- W3098929771 type Work @default.
- W3098929771 sameAs 3098929771 @default.
- W3098929771 citedByCount "0" @default.
- W3098929771 crossrefType "proceedings-article" @default.
- W3098929771 hasAuthorship W3098929771A5017245063 @default.
- W3098929771 hasAuthorship W3098929771A5022916167 @default.
- W3098929771 hasAuthorship W3098929771A5032096342 @default.
- W3098929771 hasAuthorship W3098929771A5041503392 @default.
- W3098929771 hasConcept C11413529 @default.
- W3098929771 hasConcept C12534583 @default.
- W3098929771 hasConcept C127313418 @default.
- W3098929771 hasConcept C138885662 @default.
- W3098929771 hasConcept C154945302 @default.
- W3098929771 hasConcept C17744445 @default.
- W3098929771 hasConcept C178790620 @default.
- W3098929771 hasConcept C185592680 @default.
- W3098929771 hasConcept C199539241 @default.
- W3098929771 hasConcept C2776401178 @default.
- W3098929771 hasConcept C2779089604 @default.
- W3098929771 hasConcept C2780560099 @default.
- W3098929771 hasConcept C41008148 @default.
- W3098929771 hasConcept C41895202 @default.
- W3098929771 hasConcept C554190296 @default.
- W3098929771 hasConcept C71813955 @default.
- W3098929771 hasConcept C76155785 @default.
- W3098929771 hasConceptScore W3098929771C11413529 @default.
- W3098929771 hasConceptScore W3098929771C12534583 @default.
- W3098929771 hasConceptScore W3098929771C127313418 @default.
- W3098929771 hasConceptScore W3098929771C138885662 @default.
- W3098929771 hasConceptScore W3098929771C154945302 @default.
- W3098929771 hasConceptScore W3098929771C17744445 @default.
- W3098929771 hasConceptScore W3098929771C178790620 @default.
- W3098929771 hasConceptScore W3098929771C185592680 @default.
- W3098929771 hasConceptScore W3098929771C199539241 @default.
- W3098929771 hasConceptScore W3098929771C2776401178 @default.
- W3098929771 hasConceptScore W3098929771C2779089604 @default.
- W3098929771 hasConceptScore W3098929771C2780560099 @default.
- W3098929771 hasConceptScore W3098929771C41008148 @default.
- W3098929771 hasConceptScore W3098929771C41895202 @default.
- W3098929771 hasConceptScore W3098929771C554190296 @default.
- W3098929771 hasConceptScore W3098929771C71813955 @default.
- W3098929771 hasConceptScore W3098929771C76155785 @default.
- W3098929771 hasLocation W30989297711 @default.
- W3098929771 hasOpenAccess W3098929771 @default.
- W3098929771 hasPrimaryLocation W30989297711 @default.
- W3098929771 hasRelatedWork W1608790715 @default.
- W3098929771 hasRelatedWork W1972504504 @default.
- W3098929771 hasRelatedWork W1996705673 @default.
- W3098929771 hasRelatedWork W2121456623 @default.
- W3098929771 hasRelatedWork W2347664876 @default.
- W3098929771 hasRelatedWork W2565822112 @default.
- W3098929771 hasRelatedWork W2782637444 @default.
- W3098929771 hasRelatedWork W2790321534 @default.
- W3098929771 hasRelatedWork W3107474891 @default.
- W3098929771 hasRelatedWork W3111174684 @default.
- W3098929771 isParatext "false" @default.
- W3098929771 isRetracted "false" @default.
- W3098929771 magId "3098929771" @default.
- W3098929771 workType "article" @default.