{"id":"https://openalex.org/W4312707184","doi":"https://doi.org/10.1109/igarss46834.2022.9883291","title":"ADAPTED ELBOW METHOD FOR SPHERICAL CLUSTERING OF FRACTURE DATA FROM DIGITAL OUTCROP MODEL","display_name":"ADAPTED ELBOW METHOD FOR SPHERICAL CLUSTERING OF FRACTURE DATA FROM DIGITAL OUTCROP MODEL","publication_year":2022,"publication_date":"2022-07-17","ids":{"openalex":"https://openalex.org/W4312707184","doi":"https://doi.org/10.1109/igarss46834.2022.9883291"},"language":"en","primary_location":{"id":"doi:10.1109/igarss46834.2022.9883291","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss46834.2022.9883291","pdf_url":null,"source":{"id":"https://openalex.org/S4363604196","display_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5084685420","display_name":"Graciela Racolte","orcid":"https://orcid.org/0000-0001-6642-025X"},"institutions":[{"id":"https://openalex.org/I61722147","display_name":"Universidade do Vale do Rio dos Sinos","ror":"https://ror.org/05ctmmy43","country_code":"BR","type":"education","lineage":["https://openalex.org/I61722147"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Graciela Racolte","raw_affiliation_strings":["Vizlab - X-Reality and GeoInformatics Lab, UNISINOS-Sao,Leopoldo,RS,Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Vizlab - X-Reality and GeoInformatics Lab, UNISINOS-Sao,Leopoldo,RS,Brazil","institution_ids":["https://openalex.org/I61722147"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069255629","display_name":"Ademir Marques","orcid":"https://orcid.org/0000-0003-4739-7394"},"institutions":[{"id":"https://openalex.org/I61722147","display_name":"Universidade do Vale do Rio dos Sinos","ror":"https://ror.org/05ctmmy43","country_code":"BR","type":"education","lineage":["https://openalex.org/I61722147"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Ademir Marques","raw_affiliation_strings":["Vizlab - X-Reality and GeoInformatics Lab, UNISINOS-Sao,Leopoldo,RS,Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Vizlab - X-Reality and GeoInformatics Lab, UNISINOS-Sao,Leopoldo,RS,Brazil","institution_ids":["https://openalex.org/I61722147"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003819002","display_name":"Caroline L\u00e9ssio Cazarin","orcid":"https://orcid.org/0000-0003-4018-2956"},"institutions":[{"id":"https://openalex.org/I32393484","display_name":"Petrobras (Brazil)","ror":"https://ror.org/0235kyq22","country_code":"BR","type":"company","lineage":["https://openalex.org/I32393484"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Caroline Lessio Cazarin","raw_affiliation_strings":["CENPES - PETROBRAS,Rio de Janeiro,Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CENPES - PETROBRAS,Rio de Janeiro,Brazil","institution_ids":["https://openalex.org/I32393484"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020661409","display_name":"Luiz Gonzaga","orcid":"https://orcid.org/0000-0002-7661-2447"},"institutions":[{"id":"https://openalex.org/I61722147","display_name":"Universidade do Vale do Rio dos Sinos","ror":"https://ror.org/05ctmmy43","country_code":"BR","type":"education","lineage":["https://openalex.org/I61722147"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Luiz Gonzaga","raw_affiliation_strings":["Vizlab - X-Reality and GeoInformatics Lab, UNISINOS-Sao,Leopoldo,RS,Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Vizlab - X-Reality and GeoInformatics Lab, UNISINOS-Sao,Leopoldo,RS,Brazil","institution_ids":["https://openalex.org/I61722147"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027303526","display_name":"Maur\u00edcio Roberto Veronez","orcid":"https://orcid.org/0000-0002-5914-3546"},"institutions":[{"id":"https://openalex.org/I61722147","display_name":"Universidade do Vale do Rio dos Sinos","ror":"https://ror.org/05ctmmy43","country_code":"BR","type":"education","lineage":["https://openalex.org/I61722147"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Mauricio Roberto Veronez","raw_affiliation_strings":["Vizlab - X-Reality and GeoInformatics Lab, UNISINOS-Sao,Leopoldo,RS,Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Vizlab - X-Reality and GeoInformatics Lab, UNISINOS-Sao,Leopoldo,RS,Brazil","institution_ids":["https://openalex.org/I61722147"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6059,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.72714932,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"15","issue":null,"first_page":"2263","last_page":"2266"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9937999844551086,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12282","display_name":"Mineral Processing and Grinding","score":0.9632999897003174,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/outcrop","display_name":"Outcrop","score":0.7880287170410156},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.6973593831062317},{"id":"https://openalex.org/keywords/fracture","display_name":"Fracture (geology)","score":0.6079795956611633},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.5165371298789978},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.48034965991973877},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.38874855637550354},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3524796962738037},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34088194370269775},{"id":"https://openalex.org/keywords/geotechnical-engineering","display_name":"Geotechnical engineering","score":0.16030341386795044},{"id":"https://openalex.org/keywords/geomorphology","display_name":"Geomorphology","score":0.14034968614578247}],"concepts":[{"id":"https://openalex.org/C169212394","wikidata":"https://www.wikidata.org/wiki/Q531953","display_name":"Outcrop","level":2,"score":0.7880287170410156},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.6973593831062317},{"id":"https://openalex.org/C43369102","wikidata":"https://www.wikidata.org/wiki/Q2307625","display_name":"Fracture (geology)","level":2,"score":0.6079795956611633},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.5165371298789978},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.48034965991973877},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.38874855637550354},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3524796962738037},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34088194370269775},{"id":"https://openalex.org/C187320778","wikidata":"https://www.wikidata.org/wiki/Q1349130","display_name":"Geotechnical engineering","level":1,"score":0.16030341386795044},{"id":"https://openalex.org/C114793014","wikidata":"https://www.wikidata.org/wiki/Q52109","display_name":"Geomorphology","level":1,"score":0.14034968614578247}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss46834.2022.9883291","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss46834.2022.9883291","pdf_url":null,"source":{"id":"https://openalex.org/S4363604196","display_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6399999856948853,"id":"https://metadata.un.org/sdg/14","display_name":"Life below water"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1983729115","https://openalex.org/W2053290236","https://openalex.org/W2571520280","https://openalex.org/W2887709488","https://openalex.org/W2974746525","https://openalex.org/W3005898748","https://openalex.org/W3008449650","https://openalex.org/W3038002286","https://openalex.org/W6767984838"],"related_works":["https://openalex.org/W2475592973","https://openalex.org/W2314643109","https://openalex.org/W1966975693","https://openalex.org/W4294011955","https://openalex.org/W2189012484","https://openalex.org/W4283159813","https://openalex.org/W2504107309","https://openalex.org/W4255729628","https://openalex.org/W4285296344","https://openalex.org/W2481905311"],"abstract_inverted_index":{"Exposed":[0],"rock":[1],"formations,":[2],"also":[3],"know":[4],"as":[5],"outcrops,":[6],"are":[7,21],"a":[8,108,140,149,152],"great":[9],"source":[10],"of":[11,17,44,57,93,118,125,148],"geological":[12],"data,":[13],"enabling":[14,54],"the":[15,42,73,91,111,122,156],"characterization":[16],"fracture":[18,58,75,80,128,137],"networks":[19],"that":[20,49],"less":[22],"visible":[23],"when":[24,61],"analyzing":[25],"reservoir":[26,69],"data":[27],"from":[28,145],"seismic":[29],"and":[30,38,68,83],"well":[31],"logs.":[32],"Remote":[33],"sensing":[34],"techniques":[35],"like":[36],"LiDAR":[37],"UAV":[39],"Photogrammetry":[40],"allow":[41],"generation":[43],"Digital":[45],"Outcrop":[46],"Models":[47],"(DOM)":[48],"provide":[50,86],"accurate":[51],"outcrop":[52,154],"geometry":[53],"further":[55],"investigation":[56],"attributes,":[59],"necessary":[60],"creating":[62],"Discrete":[63],"Fracture":[64],"Network":[65],"(DFN)":[66],"models":[67],"simulation":[70],"models.":[71],"Besides":[72],"manual":[74],"interpretation":[76],"in":[77,100,139,155],"DOMs,":[78],"automatic":[79],"plane":[81],"segmentation":[82],"clusterization":[84],"can":[85],"significantly":[87],"more":[88],"data.":[89],"However,":[90],"identification":[92],"family":[94,129],"sets":[95],"is":[96],"still":[97],"done":[98],"visually":[99],"most":[101],"cases.":[102],"In":[103],"this":[104,133],"work,":[105],"we":[106],"develop":[107],"modification":[109],"to":[110,120,135],"elbow":[112],"method":[113,134],"using":[114],"spherical":[115],"Fisher":[116],"statistics":[117],"dispersion":[119,165],"determine":[121],"ideal":[123],"number":[124],"clusters":[126,162],"or":[127],"sets.":[130],"We":[131],"employed":[132],"cluster":[136],"families":[138],"point":[141],"cloud":[142],"DOM":[143],"obtained":[144],"UAV-SfM":[146],"processing":[147],"flight":[150],"over":[151],"carbonate":[153],"Jandaira":[157],"formation,":[158],"Northeast":[159],"Brazil,":[160],"obtaining":[161],"with":[163],"low":[164],"values.":[166]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
