{"id":"https://openalex.org/W4404628534","doi":"https://doi.org/10.1109/tgrs.2024.3504571","title":"Dual-Model Collaboration Consistency Semi-Supervised Learning for Few-Shot Lithology Interpretation","display_name":"Dual-Model Collaboration Consistency Semi-Supervised Learning for Few-Shot Lithology Interpretation","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4404628534","doi":"https://doi.org/10.1109/tgrs.2024.3504571"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2024.3504571","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3504571","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"},"type":"article","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/A5100750908","display_name":"Wei Han","orcid":"https://orcid.org/0000-0003-3882-1616"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wei Han","raw_affiliation_strings":["School of Computer Science, China University of Geosciences, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0003-3882-1616","affiliations":[{"raw_affiliation_string":"School of Computer Science, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100460014","display_name":"Zhongliang Fu","orcid":"https://orcid.org/0000-0003-4797-258X"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zunlin Fu","raw_affiliation_strings":["School of Computer Science, China University of Geosciences, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Shuanglin Xiao","orcid":null},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuanglin Xiao","raw_affiliation_strings":["School of Computer Science, China University of Geosciences, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100529649","display_name":"Xiongwei Zheng","orcid":null},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiongwei Zheng","raw_affiliation_strings":["School of Computer Science, China University of Geosciences, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023386114","display_name":"Xiaohui Huang","orcid":"https://orcid.org/0000-0002-0394-2357"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaohui Huang","raw_affiliation_strings":["School of Computer Science, China University of Geosciences, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-0394-2357","affiliations":[{"raw_affiliation_string":"School of Computer Science, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100364886","display_name":"Yi Wang","orcid":"https://orcid.org/0000-0002-1347-7030"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Wang","raw_affiliation_strings":["School of Computer Science, China University of Geosciences, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-1347-7030","affiliations":[{"raw_affiliation_string":"School of Computer Science, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047516173","display_name":"Jining Yan","orcid":"https://orcid.org/0000-0003-0680-5427"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jining Yan","raw_affiliation_strings":["School of Computer Science, China University of Geosciences, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0003-0680-5427","affiliations":[{"raw_affiliation_string":"School of Computer Science, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100371229","display_name":"Sheng Wang","orcid":"https://orcid.org/0000-0001-5904-5674"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sheng Wang","raw_affiliation_strings":["School of Computer Science, China University of Geosciences, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0001-5904-5674","affiliations":[{"raw_affiliation_string":"School of Computer Science, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"last","author":{"id":null,"display_name":"Dongmei Yan","orcid":"https://orcid.org/0009-0001-0271-8206"},"institutions":[{"id":"https://openalex.org/I4210096250","display_name":"Beijing Institute of Big Data Research","ror":"https://ror.org/00s1sz824","country_code":"CN","type":"facility","lineage":["https://openalex.org/I20231570","https://openalex.org/I37796252","https://openalex.org/I4210096250"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongmei Yan","raw_affiliation_strings":["International Research Center of Big Data for Sustainable Development Goals, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0001-0271-8206","affiliations":[{"raw_affiliation_string":"International Research Center of Big Data for Sustainable Development Goals, Beijing, China","institution_ids":["https://openalex.org/I4210096250"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5100750908"],"corresponding_institution_ids":["https://openalex.org/I3124059619"],"apc_list":null,"apc_paid":null,"fwci":1.3153,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.81667815,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"62","issue":null,"first_page":"1","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.989300012588501,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11309","display_name":"Music and Audio Processing","score":0.989300012588501,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11439","display_name":"Video Analysis and Summarization","score":0.9663000106811523,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9646999835968018,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/shot","display_name":"Shot (pellet)","score":0.6822461485862732},{"id":"https://openalex.org/keywords/interpretation","display_name":"Interpretation (philosophy)","score":0.6476097702980042},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.6383274793624878},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.6231175661087036},{"id":"https://openalex.org/keywords/lithology","display_name":"Lithology","score":0.6197807788848877},{"id":"https://openalex.org/keywords/one-shot","display_name":"One shot","score":0.6022946238517761},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5344023108482361},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4678058922290802},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.4447008967399597},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3699343800544739},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3368985950946808},{"id":"https://openalex.org/keywords/petrology","display_name":"Petrology","score":0.12893542647361755}],"concepts":[{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.6822461485862732},{"id":"https://openalex.org/C527412718","wikidata":"https://www.wikidata.org/wiki/Q855395","display_name":"Interpretation (philosophy)","level":2,"score":0.6476097702980042},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.6383274793624878},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.6231175661087036},{"id":"https://openalex.org/C122792734","wikidata":"https://www.wikidata.org/wiki/Q6538759","display_name":"Lithology","level":2,"score":0.6197807788848877},{"id":"https://openalex.org/C2992734406","wikidata":"https://www.wikidata.org/wiki/Q413267","display_name":"One shot","level":2,"score":0.6022946238517761},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5344023108482361},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4678058922290802},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.4447008967399597},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3699343800544739},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3368985950946808},{"id":"https://openalex.org/C5900021","wikidata":"https://www.wikidata.org/wiki/Q163082","display_name":"Petrology","level":1,"score":0.12893542647361755},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2024.3504571","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3504571","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G509352352","display_name":null,"funder_award_id":"41925007","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6034747563","display_name":null,"funder_award_id":"KLIGIP-2023-B05","funder_id":"https://openalex.org/F4320321133","funder_display_name":"Chinese Academy of Sciences"},{"id":"https://openalex.org/G8127560730","display_name":null,"funder_award_id":"42201415","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321133","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":61,"referenced_works":["https://openalex.org/W1983320747","https://openalex.org/W2021343105","https://openalex.org/W2039609561","https://openalex.org/W2079057609","https://openalex.org/W2084502283","https://openalex.org/W2088252378","https://openalex.org/W2094420085","https://openalex.org/W2095483845","https://openalex.org/W2100921418","https://openalex.org/W2132926714","https://openalex.org/W2150045166","https://openalex.org/W2152424523","https://openalex.org/W2152686492","https://openalex.org/W2157785456","https://openalex.org/W2167891208","https://openalex.org/W2610166850","https://openalex.org/W2618530766","https://openalex.org/W2770429219","https://openalex.org/W2783165089","https://openalex.org/W2787091153","https://openalex.org/W2891747104","https://openalex.org/W2904995961","https://openalex.org/W2954328919","https://openalex.org/W2991751858","https://openalex.org/W3004713282","https://openalex.org/W3036045183","https://openalex.org/W3037119549","https://openalex.org/W3041133507","https://openalex.org/W3087896851","https://openalex.org/W3097689569","https://openalex.org/W3104355817","https://openalex.org/W3112794926","https://openalex.org/W3138516171","https://openalex.org/W3186981108","https://openalex.org/W3205042160","https://openalex.org/W3205626500","https://openalex.org/W3205782293","https://openalex.org/W3208943037","https://openalex.org/W3213078216","https://openalex.org/W4211178993","https://openalex.org/W4220680175","https://openalex.org/W4221161877","https://openalex.org/W4239510810","https://openalex.org/W4285232409","https://openalex.org/W4312310512","https://openalex.org/W4313427362","https://openalex.org/W4320486209","https://openalex.org/W4380478936","https://openalex.org/W4384918198","https://openalex.org/W4386057716","https://openalex.org/W4386075981","https://openalex.org/W4386108475","https://openalex.org/W4386270166","https://openalex.org/W4387121810","https://openalex.org/W4388320282","https://openalex.org/W4391669325","https://openalex.org/W4392752318","https://openalex.org/W4401819987","https://openalex.org/W6743661861","https://openalex.org/W6785795731","https://openalex.org/W6856102174"],"related_works":["https://openalex.org/W2497720472","https://openalex.org/W4292659306","https://openalex.org/W3044321615","https://openalex.org/W2806221744","https://openalex.org/W2326937258","https://openalex.org/W394267150","https://openalex.org/W2773965352","https://openalex.org/W4294892107","https://openalex.org/W2357748469","https://openalex.org/W2392917037"],"abstract_inverted_index":{"Geological":[0],"environment":[1],"remote":[2,55],"sensing":[3,56],"(GERS)":[4],"interpretation":[5],"contributes":[6],"to":[7,36,67,81,112,123,135,152,182],"lithological":[8],"mapping,":[9],"disaster":[10],"prediction,":[11],"soil":[12],"erosion":[13],"monitoring,":[14],"and":[15,26,54,72,132,192,220],"so":[16],"on.":[17],"However,":[18],"the":[19,68,83,88,93,125,137,160,180,213,224],"rich":[20],"diversity,":[21],"complex":[22],"distribution,":[23],"interclass":[24],"similarities,":[25],"uncertainties":[27],"in":[28,217],"data":[29],"quality":[30,126],"of":[31,45,127,163,197,203,226],"geological":[32],"elements":[33],"pose":[34],"challenges":[35],"GERS":[37,46,77,185,198],"interpretation.":[38],"In":[39,140],"addition,":[40,141],"current":[41],"automatic":[42],"feature":[43],"extraction":[44],"elements,":[47],"which":[48],"rely":[49],"on":[50,212],"deep":[51],"learning":[52],"(DL)":[53],"(RS)":[57],"information":[58],"process":[59,188],"technologies,":[60],"often":[61],"require":[62],"sufficient":[63],"labeled":[64,76],"data.":[65],"Due":[66],"enormous":[69],"labor":[70],"cost":[71],"specialized":[73],"expertise":[74],"needed,":[75],"samples":[78],"are":[79],"limited":[80],"training":[82,138],"data-driven":[84],"models.":[85],"To":[86],"tackle":[87],"above":[89],"challenges,":[90],"we":[91,207],"introduce":[92],"semi-supervised":[94],"dual-model":[95],"progressive":[96],"self-training":[97],"(DM-ProST)":[98],"framework.":[99],"This":[100,187],"framework":[101,167],"employs":[102],"two":[103],"DL":[104,154],"networks":[105],"with":[106,177,199],"different":[107],"initializations":[108],"as":[109],"evaluator":[110],"models":[111,181],"correct":[113],"each":[114],"other.":[115],"A":[116],"sample":[117],"filtering":[118],"strategy":[119],"is":[120,150],"then":[121],"implemented":[122],"evaluate":[124],"unlabeled":[128],"samples,":[129],"selecting":[130],"high-quality":[131],"reliable":[133],"ones":[134],"expand":[136],"set.":[139],"a":[142,169,200],"fully":[143],"connected":[144],"conditional":[145],"random":[146],"field":[147],"(CRF)":[148],"module":[149],"incorporated":[151],"optimize":[153],"network":[155],"prediction":[156],"maps,":[157],"thereby":[158],"enhancing":[159],"boundary":[161],"performance":[162],"segmentation":[164],"results.":[165],"The":[166],"utilizes":[168],"multitask":[170],"loss":[171,176],"function":[172],"that":[173],"combines":[174],"consistency":[175],"cross-entropy,":[178],"enabling":[179],"learn":[183],"discriminative":[184],"features.":[186],"accurately":[189],"generates":[190],"pseudo-labels":[191],"achieves":[193],"precise":[194],"lithology":[195],"mapping":[196],"small":[201],"amount":[202],"annotation":[204],"samples.":[205],"Finally,":[206],"conducted":[208],"an":[209],"experimental":[210],"evaluation":[211],"Landsat":[214],"8":[215],"dataset":[216],"Xinjiang,":[218],"China,":[219],"massive":[221],"experiments":[222],"proved":[223],"effectiveness":[225],"DM-ProST.":[227]},"counts_by_year":[{"year":2025,"cited_by_count":4}],"updated_date":"2025-12-23T23:11:35.936235","created_date":"2025-10-10T00:00:00"}
