{"id":"https://openalex.org/W4285282708","doi":"https://doi.org/10.1109/tgrs.2022.3190476","title":"Collaboration Between Multiple Experts for Knowledge Adaptation on Multiple Remote Sensing Sources","display_name":"Collaboration Between Multiple Experts for Knowledge Adaptation on Multiple Remote Sensing Sources","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4285282708","doi":"https://doi.org/10.1109/tgrs.2022.3190476"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2022.3190476","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2022.3190476","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/A5088457146","display_name":"Ba Hung Ngo","orcid":"https://orcid.org/0000-0003-1818-9203"},"institutions":[{"id":"https://openalex.org/I205490536","display_name":"Dongguk University","ror":"https://ror.org/057q6n778","country_code":"KR","type":"education","lineage":["https://openalex.org/I205490536"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Ba Hung Ngo","raw_affiliation_strings":["Department of Multimedia Engineering, Dongguk University, Seoul, South Korea","Department of Multimedia Engineering, Dongguk University, Seoul, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0003-1818-9203","affiliations":[{"raw_affiliation_string":"Department of Multimedia Engineering, Dongguk University, Seoul, South Korea","institution_ids":["https://openalex.org/I205490536"]},{"raw_affiliation_string":"Department of Multimedia Engineering, Dongguk University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I205490536"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021111709","display_name":"Ju Hyun Kim","orcid":"https://orcid.org/0000-0002-9062-2641"},"institutions":[{"id":"https://openalex.org/I205490536","display_name":"Dongguk University","ror":"https://ror.org/057q6n778","country_code":"KR","type":"education","lineage":["https://openalex.org/I205490536"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Ju Hyun Kim","raw_affiliation_strings":["Department of Multimedia Engineering, Dongguk University, Seoul, South Korea","Department of Multimedia Engineering, Dongguk University, Seoul, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0002-9062-2641","affiliations":[{"raw_affiliation_string":"Department of Multimedia Engineering, Dongguk University, Seoul, South Korea","institution_ids":["https://openalex.org/I205490536"]},{"raw_affiliation_string":"Department of Multimedia Engineering, Dongguk University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I205490536"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087687220","display_name":"So Jeong Park","orcid":"https://orcid.org/0000-0003-1244-2044"},"institutions":[{"id":"https://openalex.org/I205490536","display_name":"Dongguk University","ror":"https://ror.org/057q6n778","country_code":"KR","type":"education","lineage":["https://openalex.org/I205490536"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"So Jeong Park","raw_affiliation_strings":["Department of Multimedia Engineering, Dongguk University, Seoul, South Korea","Department of Multimedia Engineering, Dongguk University, Seoul, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0003-1244-2044","affiliations":[{"raw_affiliation_string":"Department of Multimedia Engineering, Dongguk University, Seoul, South Korea","institution_ids":["https://openalex.org/I205490536"]},{"raw_affiliation_string":"Department of Multimedia Engineering, Dongguk University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I205490536"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080385405","display_name":"Sung In Cho","orcid":"https://orcid.org/0000-0003-4251-7131"},"institutions":[{"id":"https://openalex.org/I205490536","display_name":"Dongguk University","ror":"https://ror.org/057q6n778","country_code":"KR","type":"education","lineage":["https://openalex.org/I205490536"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sung In Cho","raw_affiliation_strings":["Department of Multimedia Engineering, Dongguk University, Seoul, South Korea","Department of Multimedia Engineering, Dongguk University, Seoul, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0003-4251-7131","affiliations":[{"raw_affiliation_string":"Department of Multimedia Engineering, Dongguk University, Seoul, South Korea","institution_ids":["https://openalex.org/I205490536"]},{"raw_affiliation_string":"Department of Multimedia Engineering, Dongguk University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I205490536"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.359,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.90059812,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"60","issue":null,"first_page":"1","last_page":"15"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9991000294685364,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9991000294685364,"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":0.9984999895095825,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9883000254631042,"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/computer-science","display_name":"Computer science","score":0.8238276839256287},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.7196147441864014},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.693580150604248},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.6104809045791626},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5528782606124878},{"id":"https://openalex.org/keywords/merge","display_name":"Merge (version control)","score":0.5375394821166992},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5295290350914001},{"id":"https://openalex.org/keywords/multi-source","display_name":"Multi-source","score":0.4981374740600586},{"id":"https://openalex.org/keywords/labeled-data","display_name":"Labeled data","score":0.47723081707954407},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4362809956073761},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4233143925666809},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4231646955013275},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3650098443031311},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3277260959148407},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.2719646692276001},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.23359724879264832},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.15549427270889282}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8238276839256287},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.7196147441864014},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.693580150604248},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.6104809045791626},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5528782606124878},{"id":"https://openalex.org/C197129107","wikidata":"https://www.wikidata.org/wiki/Q1921621","display_name":"Merge (version control)","level":2,"score":0.5375394821166992},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5295290350914001},{"id":"https://openalex.org/C2780665216","wikidata":"https://www.wikidata.org/wiki/Q6934498","display_name":"Multi-source","level":2,"score":0.4981374740600586},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.47723081707954407},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4362809956073761},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4233143925666809},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4231646955013275},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3650098443031311},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3277260959148407},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.2719646692276001},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.23359724879264832},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.15549427270889282},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2022.3190476","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2022.3190476","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":[{"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17","score":0.4699999988079071}],"awards":[{"id":"https://openalex.org/G5709547348","display_name":null,"funder_award_id":"2020R1C1C1009662","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"}],"funders":[{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":58,"referenced_works":["https://openalex.org/W1731081199","https://openalex.org/W1980038761","https://openalex.org/W2099454382","https://openalex.org/W2108598243","https://openalex.org/W2159291411","https://openalex.org/W2187089797","https://openalex.org/W2320738207","https://openalex.org/W2515866431","https://openalex.org/W2592962403","https://openalex.org/W2593768305","https://openalex.org/W2610614780","https://openalex.org/W2626107033","https://openalex.org/W2724081917","https://openalex.org/W2790898247","https://openalex.org/W2793638091","https://openalex.org/W2798405286","https://openalex.org/W2891691791","https://openalex.org/W2897086142","https://openalex.org/W2904209271","https://openalex.org/W2911305027","https://openalex.org/W2959701797","https://openalex.org/W2962687275","https://openalex.org/W2962858109","https://openalex.org/W2989738275","https://openalex.org/W2998705539","https://openalex.org/W3011304563","https://openalex.org/W3017075957","https://openalex.org/W3032022676","https://openalex.org/W3032752459","https://openalex.org/W3035682985","https://openalex.org/W3045918052","https://openalex.org/W3089265466","https://openalex.org/W3091553978","https://openalex.org/W3095686447","https://openalex.org/W3100126235","https://openalex.org/W3105577662","https://openalex.org/W3109093849","https://openalex.org/W3112846941","https://openalex.org/W3119686825","https://openalex.org/W3121898985","https://openalex.org/W3145104656","https://openalex.org/W3164230443","https://openalex.org/W3181434681","https://openalex.org/W3196157508","https://openalex.org/W3198665149","https://openalex.org/W3199543779","https://openalex.org/W3199617538","https://openalex.org/W3201074629","https://openalex.org/W4206413566","https://openalex.org/W4226443111","https://openalex.org/W6637618735","https://openalex.org/W6688325169","https://openalex.org/W6713955831","https://openalex.org/W6754770232","https://openalex.org/W6762913911","https://openalex.org/W6763066025","https://openalex.org/W6767561782","https://openalex.org/W6773005947"],"related_works":["https://openalex.org/W4288040045","https://openalex.org/W1531174292","https://openalex.org/W4301607095","https://openalex.org/W4323817659","https://openalex.org/W4309869944","https://openalex.org/W4361193208","https://openalex.org/W2901854794","https://openalex.org/W2949843150","https://openalex.org/W2576964996","https://openalex.org/W4300934497"],"abstract_inverted_index":{"Due":[0],"to":[1,13,52,54,81,96,138,208,246],"the":[2,20,26,45,59,71,92,102,127,140,144,184,220,224],"unique":[3,185],"characteristics":[4,186],"of":[5,64,91,101,130,143,187],"remote":[6,229],"sensing":[7,230],"(RS)":[8],"data,":[9],"it":[10,77],"is":[11,50,195],"challenging":[12,80],"collect":[14],"richer":[15],"labeled":[16],"samples":[17],"for":[18,159,197],"training":[19],"deep":[21],"learning":[22,177,194],"model":[23],"compared":[24,245],"with":[25,58],"natural":[27],"image":[28],"data.":[29],"To":[30,147],"solve":[31],"this":[32,149],"problem,":[33,150],"recently,":[34],"multi-source-single-target":[35],"(MS<sup>2</sup>T)":[36],"scenarios":[37],"have":[38],"started":[39],"receiving":[40],"significant":[41],"attention":[42],"in":[43,74,182],"which":[44],"knowledge":[46],"from":[47,163,205],"multiple":[48,109],"sources":[49,110],"integrated":[51],"transfer":[53],"a":[55,83,112,122,153],"target":[56,68,93,103,145,213],"domain":[57,69,85,119,133,214,241],"assumption":[60],"that":[61,86,201,219],"label":[62],"spaces":[63],"each":[65,117,131,188,206],"source":[66,84,118,132,189],"and":[67,173,237],"are":[70],"same.":[72],"However,":[73,116],"real-world":[75],"applications,":[76],"can":[78,134],"be":[79,135],"find":[82],"completely":[87],"includes":[88,167],"all":[89,98],"classes":[90],"domain.":[94,146,190],"Therefore,":[95],"cover":[97],"class":[99],"information":[100,129,204],"domain,":[104],"they":[105],"often":[106],"na&#x00EF;vely":[107],"merge":[108],"into":[111],"complete":[113,236],"single":[114],"source.":[115],"typically":[120],"has":[121],"different":[123],"data":[124],"distribution;":[125],"thus,":[126],"semantic":[128],"damaged,":[136],"leading":[137],"degrading":[139],"classification":[141,226],"accuracy":[142,227],"address":[148],"we":[151],"propose":[152],"unified":[154],"framework":[155],"termed":[156],"Multi-Expert":[157],"Collaboration":[158],"Knowledge":[160],"Adaptation":[161],"(MECKA)":[162],"various":[164],"sources.":[165],"MECKA":[166],"two":[168],"main":[169],"processes:":[170],"multiple-view":[171],"generation":[172],"collaborative":[174,193],"learning.":[175],"Multiview":[176],"plays":[178],"an":[179,211],"essential":[180],"role":[181],"preserving":[183],"In":[191],"contrast,":[192],"responsible":[196],"connecting":[198],"these":[199],"views":[200],"leverage":[202],"complementary":[203],"other":[207],"perform":[209],"on":[210,228,234],"unseen":[212],"robustly.":[215],"Experimental":[216],"results":[217],"showed":[218],"proposed":[221],"method":[222],"achieved":[223],"best":[225],"scene":[231],"benchmark":[232,247],"datasets":[233],"both":[235],"incomplete":[238],"multisource":[239],"unsupervised":[240],"adaptation":[242],"(UDA)":[243],"tasks":[244],"methods.":[248]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":4}],"updated_date":"2026-06-18T10:00:31.954636","created_date":"2025-10-10T00:00:00"}