{"id":"https://openalex.org/W3044838522","doi":"https://doi.org/10.1109/jstars.2020.3011221","title":"Drill-Core Hyperspectral and Geochemical Data Integration in a Superpixel-Based Machine Learning Framework","display_name":"Drill-Core Hyperspectral and Geochemical Data Integration in a Superpixel-Based Machine Learning Framework","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3044838522","doi":"https://doi.org/10.1109/jstars.2020.3011221","mag":"3044838522"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2020.3011221","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2020.3011221","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/8994817/09146200.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/4609443/8994817/09146200.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5063936944","display_name":"Cecilia Contreras","orcid":"https://orcid.org/0000-0002-4758-6550"},"institutions":[{"id":"https://openalex.org/I2801798921","display_name":"Helmholtz-Zentrum Dresden-Rossendorf","ror":"https://ror.org/01zy2cs03","country_code":"DE","type":"facility","lineage":["https://openalex.org/I1305996414","https://openalex.org/I2801798921"]},{"id":"https://openalex.org/I4210148560","display_name":"Helmholtz Institute Freiberg for Resource Technology","ror":"https://ror.org/04kdb0j04","country_code":"DE","type":"government","lineage":["https://openalex.org/I1305996414","https://openalex.org/I2801798921","https://openalex.org/I4210148560"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Isabel Cecilia Contreras Acosta","raw_affiliation_strings":["Divisions of \u201cExploration and Technology\u201d and the \u201cPrimary Resource Modelling,\u201d Helmholtz-Zentrum Dresden-Rossendorf, Helmholtz Institute Freiberg for Resource Technology, Freiberg, Germany","Divisions of \"Exploration and Technology\" and the \"Primary Resource Modelling,\" Helmholtz-Zentrum Dresden-Rossendorf, Helmholtz Institute Freiberg for Resource Technology, Freiberg, Germany"],"raw_orcid":"https://orcid.org/0000-0002-4758-6550","affiliations":[{"raw_affiliation_string":"Divisions of \u201cExploration and Technology\u201d and the \u201cPrimary Resource Modelling,\u201d Helmholtz-Zentrum Dresden-Rossendorf, Helmholtz Institute Freiberg for Resource Technology, Freiberg, Germany","institution_ids":["https://openalex.org/I4210148560"]},{"raw_affiliation_string":"Divisions of \"Exploration and Technology\" and the \"Primary Resource Modelling,\" Helmholtz-Zentrum Dresden-Rossendorf, Helmholtz Institute Freiberg for Resource Technology, Freiberg, Germany","institution_ids":["https://openalex.org/I2801798921","https://openalex.org/I4210148560"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055884274","display_name":"Mahdi Khodadadzadeh","orcid":"https://orcid.org/0000-0001-7899-738X"},"institutions":[{"id":"https://openalex.org/I2801798921","display_name":"Helmholtz-Zentrum Dresden-Rossendorf","ror":"https://ror.org/01zy2cs03","country_code":"DE","type":"facility","lineage":["https://openalex.org/I1305996414","https://openalex.org/I2801798921"]},{"id":"https://openalex.org/I4210148560","display_name":"Helmholtz Institute Freiberg for Resource Technology","ror":"https://ror.org/04kdb0j04","country_code":"DE","type":"government","lineage":["https://openalex.org/I1305996414","https://openalex.org/I2801798921","https://openalex.org/I4210148560"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Mahdi Khodadadzadeh","raw_affiliation_strings":["Divisions of \u201cExploration and Technology\u201d and the \u201cPrimary Resource Modelling,\u201d Helmholtz-Zentrum Dresden-Rossendorf, Helmholtz Institute Freiberg for Resource Technology, Freiberg, Germany","Divisions of \"Exploration and Technology\" and the \"Primary Resource Modelling,\" Helmholtz-Zentrum Dresden-Rossendorf, Helmholtz Institute Freiberg for Resource Technology, Freiberg, Germany"],"raw_orcid":"https://orcid.org/0000-0001-7899-738X","affiliations":[{"raw_affiliation_string":"Divisions of \u201cExploration and Technology\u201d and the \u201cPrimary Resource Modelling,\u201d Helmholtz-Zentrum Dresden-Rossendorf, Helmholtz Institute Freiberg for Resource Technology, Freiberg, Germany","institution_ids":["https://openalex.org/I4210148560"]},{"raw_affiliation_string":"Divisions of \"Exploration and Technology\" and the \"Primary Resource Modelling,\" Helmholtz-Zentrum Dresden-Rossendorf, Helmholtz Institute Freiberg for Resource Technology, Freiberg, Germany","institution_ids":["https://openalex.org/I2801798921","https://openalex.org/I4210148560"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080950597","display_name":"Raimon Tolosana\u2010Delgado","orcid":"https://orcid.org/0000-0001-9847-0462"},"institutions":[{"id":"https://openalex.org/I2801798921","display_name":"Helmholtz-Zentrum Dresden-Rossendorf","ror":"https://ror.org/01zy2cs03","country_code":"DE","type":"facility","lineage":["https://openalex.org/I1305996414","https://openalex.org/I2801798921"]},{"id":"https://openalex.org/I4210148560","display_name":"Helmholtz Institute Freiberg for Resource Technology","ror":"https://ror.org/04kdb0j04","country_code":"DE","type":"government","lineage":["https://openalex.org/I1305996414","https://openalex.org/I2801798921","https://openalex.org/I4210148560"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Raimon Tolosana-Delgado","raw_affiliation_strings":["Divisions of \u201cExploration and Technology\u201d and the \u201cPrimary Resource Modelling,\u201d Helmholtz-Zentrum Dresden-Rossendorf, Helmholtz Institute Freiberg for Resource Technology, Freiberg, Germany","Divisions of \"Exploration and Technology\" and the \"Primary Resource Modelling,\" Helmholtz-Zentrum Dresden-Rossendorf, Helmholtz Institute Freiberg for Resource Technology, Freiberg, Germany"],"raw_orcid":"https://orcid.org/0000-0001-9847-0462","affiliations":[{"raw_affiliation_string":"Divisions of \u201cExploration and Technology\u201d and the \u201cPrimary Resource Modelling,\u201d Helmholtz-Zentrum Dresden-Rossendorf, Helmholtz Institute Freiberg for Resource Technology, Freiberg, Germany","institution_ids":["https://openalex.org/I4210148560"]},{"raw_affiliation_string":"Divisions of \"Exploration and Technology\" and the \"Primary Resource Modelling,\" Helmholtz-Zentrum Dresden-Rossendorf, Helmholtz Institute Freiberg for Resource Technology, Freiberg, Germany","institution_ids":["https://openalex.org/I2801798921","https://openalex.org/I4210148560"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067490750","display_name":"Richard Gloaguen","orcid":"https://orcid.org/0000-0002-4383-473X"},"institutions":[{"id":"https://openalex.org/I2801798921","display_name":"Helmholtz-Zentrum Dresden-Rossendorf","ror":"https://ror.org/01zy2cs03","country_code":"DE","type":"facility","lineage":["https://openalex.org/I1305996414","https://openalex.org/I2801798921"]},{"id":"https://openalex.org/I4210148560","display_name":"Helmholtz Institute Freiberg for Resource Technology","ror":"https://ror.org/04kdb0j04","country_code":"DE","type":"government","lineage":["https://openalex.org/I1305996414","https://openalex.org/I2801798921","https://openalex.org/I4210148560"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Richard Gloaguen","raw_affiliation_strings":["Divisions of \u201cExploration and Technology\u201d and the \u201cPrimary Resource Modelling,\u201d Helmholtz-Zentrum Dresden-Rossendorf, Helmholtz Institute Freiberg for Resource Technology, Freiberg, Germany","Divisions of \"Exploration and Technology\" and the \"Primary Resource Modelling,\" Helmholtz-Zentrum Dresden-Rossendorf, Helmholtz Institute Freiberg for Resource Technology, Freiberg, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Divisions of \u201cExploration and Technology\u201d and the \u201cPrimary Resource Modelling,\u201d Helmholtz-Zentrum Dresden-Rossendorf, Helmholtz Institute Freiberg for Resource Technology, Freiberg, Germany","institution_ids":["https://openalex.org/I4210148560"]},{"raw_affiliation_string":"Divisions of \"Exploration and Technology\" and the \"Primary Resource Modelling,\" Helmholtz-Zentrum Dresden-Rossendorf, Helmholtz Institute Freiberg for Resource Technology, Freiberg, Germany","institution_ids":["https://openalex.org/I2801798921","https://openalex.org/I4210148560"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":{"value":1061,"currency":"EUR","value_usd":1144},"fwci":3.2171,"has_fulltext":true,"cited_by_count":36,"citation_normalized_percentile":{"value":0.93311118,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"13","issue":null,"first_page":"4214","last_page":"4228"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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":0.9825000166893005,"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/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.9452008605003357},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6295384168624878},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5987148284912109},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5623161792755127},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4967542290687561},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47877705097198486},{"id":"https://openalex.org/keywords/drill","display_name":"Drill","score":0.4769143760204315},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4750763773918152},{"id":"https://openalex.org/keywords/mineral-exploration","display_name":"Mineral exploration","score":0.4387175738811493},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.42178601026535034},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.33669430017471313},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.24291718006134033},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11296692490577698},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0996721088886261}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9452008605003357},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6295384168624878},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5987148284912109},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5623161792755127},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4967542290687561},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47877705097198486},{"id":"https://openalex.org/C173736775","wikidata":"https://www.wikidata.org/wiki/Q58964","display_name":"Drill","level":2,"score":0.4769143760204315},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4750763773918152},{"id":"https://openalex.org/C66264921","wikidata":"https://www.wikidata.org/wiki/Q1370637","display_name":"Mineral exploration","level":2,"score":0.4387175738811493},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.42178601026535034},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.33669430017471313},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.24291718006134033},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11296692490577698},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0996721088886261},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C17409809","wikidata":"https://www.wikidata.org/wiki/Q161764","display_name":"Geochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jstars.2020.3011221","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2020.3011221","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/8994817/09146200.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:6f3405046b6d43f3ba10cd5d2c9a8e94","is_oa":true,"landing_page_url":"https://doaj.org/article/6f3405046b6d43f3ba10cd5d2c9a8e94","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 4214-4228 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/jstars.2020.3011221","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2020.3011221","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/8994817/09146200.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.6499999761581421}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3044838522.pdf","grobid_xml":"https://content.openalex.org/works/W3044838522.grobid-xml"},"referenced_works_count":81,"referenced_works":["https://openalex.org/W2496977","https://openalex.org/W160580081","https://openalex.org/W238260150","https://openalex.org/W1537603675","https://openalex.org/W1545538788","https://openalex.org/W1601795611","https://openalex.org/W1663973292","https://openalex.org/W1969262093","https://openalex.org/W1976220815","https://openalex.org/W1979464002","https://openalex.org/W1980849679","https://openalex.org/W1982108811","https://openalex.org/W1984318235","https://openalex.org/W1989823130","https://openalex.org/W1989973478","https://openalex.org/W1998030734","https://openalex.org/W1998818470","https://openalex.org/W2011085793","https://openalex.org/W2016268312","https://openalex.org/W2020353426","https://openalex.org/W2029389181","https://openalex.org/W2036004393","https://openalex.org/W2045399764","https://openalex.org/W2051568244","https://openalex.org/W2071584308","https://openalex.org/W2074506978","https://openalex.org/W2076961568","https://openalex.org/W2078112764","https://openalex.org/W2082920669","https://openalex.org/W2100019844","https://openalex.org/W2111342864","https://openalex.org/W2118246710","https://openalex.org/W2124889555","https://openalex.org/W2135431554","https://openalex.org/W2135488357","https://openalex.org/W2137209740","https://openalex.org/W2149298154","https://openalex.org/W2164330327","https://openalex.org/W2182626387","https://openalex.org/W2284154698","https://openalex.org/W2317845092","https://openalex.org/W2369717854","https://openalex.org/W2527211124","https://openalex.org/W2527344479","https://openalex.org/W2578771240","https://openalex.org/W2585293115","https://openalex.org/W2602899523","https://openalex.org/W2603834682","https://openalex.org/W2606412288","https://openalex.org/W2613575128","https://openalex.org/W2622591804","https://openalex.org/W2755346566","https://openalex.org/W2757781625","https://openalex.org/W2760540845","https://openalex.org/W2765674087","https://openalex.org/W2790806472","https://openalex.org/W2805921383","https://openalex.org/W2808776742","https://openalex.org/W2901128450","https://openalex.org/W2904250115","https://openalex.org/W2916564579","https://openalex.org/W2929066226","https://openalex.org/W2945071234","https://openalex.org/W2949182166","https://openalex.org/W2960241714","https://openalex.org/W2970106972","https://openalex.org/W2982247256","https://openalex.org/W2985667127","https://openalex.org/W3020865758","https://openalex.org/W3100499011","https://openalex.org/W3119651796","https://openalex.org/W3135396862","https://openalex.org/W3197911349","https://openalex.org/W4206495155","https://openalex.org/W4231665431","https://openalex.org/W4239510810","https://openalex.org/W4292933682","https://openalex.org/W6609166994","https://openalex.org/W6708223228","https://openalex.org/W6756891151","https://openalex.org/W6760791926"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2060875994","https://openalex.org/W3034375524","https://openalex.org/W4230131218","https://openalex.org/W2070598848","https://openalex.org/W2044184146","https://openalex.org/W4313014865","https://openalex.org/W2019190440","https://openalex.org/W2343470940"],"abstract_inverted_index":{"The":[0],"analysis":[1,74,247],"of":[2,7,21,34,44,57,75,178,184,196,200,207,213,240,248],"drill-core":[3],"samples":[4,145],"is":[5,52,88,159],"one":[6],"the":[8,13,17,32,42,45,68,73,106,124,135,141,164,169,185,194,208,211,214,225,232,238,245,249],"most":[9],"important":[10,46],"steps":[11],"in":[12,67,126,188],"mining":[14,69],"industry":[15,70],"for":[16,146,237,244],"exploration":[18],"and":[19,38,54,81,112,138,204],"discovery":[20],"mineral":[22],"resources.":[23],"Geochemical":[24],"assays":[25,137,242],"are":[26,63],"a":[27,89,116,189,197],"common":[28],"approach":[29],"to":[30,71,78,92,104,162,168,192],"represent":[31],"abundance":[33,167],"different":[35,182],"chemical":[36],"elements":[37,165],"aid":[39],"at":[40],"quantifying":[41],"concentrations":[43],"ore":[47],"accumulations.":[48],"However,":[49],"their":[50,79],"acquisition":[51],"time-consuming":[53],"usually":[55],"averages":[56],"long":[58],"core":[59,171],"portions.":[60],"Hyperspectral":[61],"data":[62,94,114,180],"increasingly":[64],"being":[65],"used":[66,161],"complement":[72],"drill-cores":[76],"due":[77],"efficiency":[80],"fast":[82],"turn-around":[83],"time.":[84],"Moreover,":[85],"hyperspectral":[86,111,142,179],"imaging":[87],"technique":[90],"able":[91],"provide":[93],"with":[95],"high":[96],"spatial":[97,127],"resolution.":[98],"In":[99],"this":[100],"article,":[101],"we":[102],"propose":[103,174],"integrate":[105],"complementary":[107],"information":[108],"derived":[109],"from":[110,134,140],"geochemical":[113,136,241],"via":[115],"superpixel-based":[117],"machine":[118,151],"learning":[119,152],"framework.":[120],"This":[121],"framework":[122,191],"considers":[123],"difference":[125],"resolution":[128],"through":[129],"segmentation.":[130],"We":[131,173],"extract":[132],"labels":[133],"select,":[139],"data,":[143],"representative":[144],"each":[147],"measurement.":[148],"A":[149,202],"supervised":[150],"classification":[153],"(composite":[154],"kernel":[155],"support":[156],"vector":[157],"machine)":[158],"then":[160],"extrapolate":[163],"relative":[166],"entire":[170],"length.":[172],"an":[175],"innovative":[176],"integration":[177],"covering":[181],"regions":[183],"electromagnetic":[186],"spectrum":[187],"kernel-based":[190],"facilitate":[193],"identification":[195],"larger":[198],"amount":[199],"elements.":[201],"qualitative":[203],"quantitative":[205],"evaluation":[206],"results":[209,223],"demonstrates":[210],"capabilities":[212],"proposed":[215],"method,":[216],"which":[217],"provides":[218],"approximately":[219],"20%":[220],"more":[221],"accurate":[222],"than":[224],"pixel-based":[226],"approach.":[227],"Results":[228],"also":[229],"imply":[230],"that":[231],"method":[233],"could":[234],"be":[235],"beneficial":[236],"reduction":[239],"needed":[243],"detailed":[246],"cores.":[250]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}