{"id":"https://openalex.org/W3199617538","doi":"https://doi.org/10.1109/tgrs.2021.3110060","title":"An Open Set Domain Adaptation Algorithm via Exploring Transferability and Discriminability for Remote Sensing Image Scene Classification","display_name":"An Open Set Domain Adaptation Algorithm via Exploring Transferability and Discriminability for Remote Sensing Image Scene Classification","publication_year":2021,"publication_date":"2021-09-15","ids":{"openalex":"https://openalex.org/W3199617538","doi":"https://doi.org/10.1109/tgrs.2021.3110060","mag":"3199617538"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2021.3110060","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2021.3110060","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/A5100716141","display_name":"Jun Zhang","orcid":"https://orcid.org/0000-0003-4345-454X"},"institutions":[{"id":"https://openalex.org/I184843921","display_name":"Hebei University of Technology","ror":"https://ror.org/018hded08","country_code":"CN","type":"education","lineage":["https://openalex.org/I184843921"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jun Zhang","raw_affiliation_strings":["Hebei Province Key Laboratory of Big Data Calculation, Tianjin, China","School of Artificial Intelligence, Hebei University of Technology, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0003-4345-454X","affiliations":[{"raw_affiliation_string":"Hebei Province Key Laboratory of Big Data Calculation, Tianjin, China","institution_ids":[]},{"raw_affiliation_string":"School of Artificial Intelligence, Hebei University of Technology, Tianjin, China","institution_ids":["https://openalex.org/I184843921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086736724","display_name":"Jiao Liu","orcid":"https://orcid.org/0000-0001-9931-6918"},"institutions":[{"id":"https://openalex.org/I184843921","display_name":"Hebei University of Technology","ror":"https://ror.org/018hded08","country_code":"CN","type":"education","lineage":["https://openalex.org/I184843921"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiao Liu","raw_affiliation_strings":["Hebei Province Key Laboratory of Big Data Calculation, Tianjin, China","School of Artificial Intelligence, Hebei University of Technology, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0001-9931-6918","affiliations":[{"raw_affiliation_string":"Hebei Province Key Laboratory of Big Data Calculation, Tianjin, China","institution_ids":[]},{"raw_affiliation_string":"School of Artificial Intelligence, Hebei University of Technology, Tianjin, China","institution_ids":["https://openalex.org/I184843921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049136910","display_name":"Bin Pan","orcid":"https://orcid.org/0000-0003-3063-1762"},"institutions":[{"id":"https://openalex.org/I1327237609","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934","country_code":"CN","type":"government","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Pan","raw_affiliation_strings":["Key Laboratory of Pure Mathematics and Combinatorics, Ministry of Education, Tianjin, China","School of Statistics and Data Science, Nankai University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0003-3063-1762","affiliations":[{"raw_affiliation_string":"Key Laboratory of Pure Mathematics and Combinatorics, Ministry of Education, Tianjin, China","institution_ids":["https://openalex.org/I1327237609"]},{"raw_affiliation_string":"School of Statistics and Data Science, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Zongqing Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I1327237609","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934","country_code":"CN","type":"government","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zongqing Chen","raw_affiliation_strings":["Key Laboratory of Pure Mathematics and Combinatorics, Ministry of Education, Tianjin, China","School of Statistics and Data Science, Nankai University, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Pure Mathematics and Combinatorics, Ministry of Education, Tianjin, China","institution_ids":["https://openalex.org/I1327237609"]},{"raw_affiliation_string":"School of Statistics and Data Science, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018133348","display_name":"Xia Xu","orcid":"https://orcid.org/0000-0001-9743-3096"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xia Xu","raw_affiliation_strings":["College of Computer Science, Nankai University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0001-9743-3096","affiliations":[{"raw_affiliation_string":"College of Computer Science, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058849690","display_name":"Zhenwei Shi","orcid":"https://orcid.org/0000-0002-4772-3172"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenwei Shi","raw_affiliation_strings":["Image Processing Center, School of Astronautics, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-4772-3172","affiliations":[{"raw_affiliation_string":"Image Processing Center, School of Astronautics, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100716141"],"corresponding_institution_ids":["https://openalex.org/I184843921"],"apc_list":null,"apc_paid":null,"fwci":3.6396,"has_fulltext":false,"cited_by_count":34,"citation_normalized_percentile":{"value":0.94092641,"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":"12"},"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":0.9966999888420105,"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":0.9966999888420105,"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":0.9957000017166138,"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/T10062","display_name":"MicroRNA in disease regulation","score":0.9125000238418579,"subfield":{"id":"https://openalex.org/subfields/1306","display_name":"Cancer Research"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7839899063110352},{"id":"https://openalex.org/keywords/transferability","display_name":"Transferability","score":0.7436409592628479},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6357040405273438},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.591156542301178},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5699160099029541},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5576686263084412},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5142382979393005},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5118986368179321},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.5048549771308899},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.4614488184452057},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4507730007171631},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.43734002113342285},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.43640202283859253},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.26677006483078003},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12108343839645386},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.09734249114990234},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.07265782356262207}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7839899063110352},{"id":"https://openalex.org/C61272859","wikidata":"https://www.wikidata.org/wiki/Q7834031","display_name":"Transferability","level":3,"score":0.7436409592628479},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6357040405273438},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.591156542301178},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5699160099029541},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5576686263084412},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5142382979393005},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5118986368179321},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.5048549771308899},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.4614488184452057},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4507730007171631},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.43734002113342285},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.43640202283859253},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.26677006483078003},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12108343839645386},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09734249114990234},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.07265782356262207},{"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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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/C140331021","wikidata":"https://www.wikidata.org/wiki/Q1868104","display_name":"Logit","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2021.3110060","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2021.3110060","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":"Reduced inequalities","score":0.75,"id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G1041627048","display_name":null,"funder_award_id":"F2020202008","funder_id":"https://openalex.org/F4320322163","funder_display_name":"Natural Science Foundation of Hebei Province"},{"id":"https://openalex.org/G1200367923","display_name":null,"funder_award_id":"62001252","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2390867686","display_name":null,"funder_award_id":"2020M670631","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G3410462721","display_name":null,"funder_award_id":"19JCZDJC40000","funder_id":"https://openalex.org/F4320323993","funder_display_name":"Natural Science Foundation of Tianjin City"},{"id":"https://openalex.org/G3930090594","display_name":null,"funder_award_id":"62001251","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5543027422","display_name":null,"funder_award_id":"2019YFC1510900","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G826752018","display_name":null,"funder_award_id":"61902106","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/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320322163","display_name":"Natural Science Foundation of Hebei Province","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320323993","display_name":"Natural Science Foundation of Tianjin City","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W1980038761","https://openalex.org/W2096943734","https://openalex.org/W2100664256","https://openalex.org/W2115403315","https://openalex.org/W2194775991","https://openalex.org/W2248269543","https://openalex.org/W2341018344","https://openalex.org/W2515866431","https://openalex.org/W2551868040","https://openalex.org/W2567026239","https://openalex.org/W2592962403","https://openalex.org/W2610614780","https://openalex.org/W2741214337","https://openalex.org/W2767089292","https://openalex.org/W2770429219","https://openalex.org/W2779610669","https://openalex.org/W2786808285","https://openalex.org/W2792088634","https://openalex.org/W2798593490","https://openalex.org/W2801389998","https://openalex.org/W2884771968","https://openalex.org/W2890732922","https://openalex.org/W2897086142","https://openalex.org/W2903122811","https://openalex.org/W2909431441","https://openalex.org/W2917187459","https://openalex.org/W2948429981","https://openalex.org/W2968945589","https://openalex.org/W2989738275","https://openalex.org/W2997701990","https://openalex.org/W3004916592","https://openalex.org/W3011525152","https://openalex.org/W3017075957","https://openalex.org/W3021003296","https://openalex.org/W3022140654","https://openalex.org/W3032022676","https://openalex.org/W3034757175","https://openalex.org/W3083641663","https://openalex.org/W3090414386","https://openalex.org/W3100126235","https://openalex.org/W3105577662","https://openalex.org/W4288076010","https://openalex.org/W4299784700","https://openalex.org/W6603329362","https://openalex.org/W6675747103","https://openalex.org/W6772372455"],"related_works":["https://openalex.org/W4376166954","https://openalex.org/W2152148513","https://openalex.org/W4281397339","https://openalex.org/W2895583656","https://openalex.org/W2280198878","https://openalex.org/W4312538239","https://openalex.org/W2786894871","https://openalex.org/W2990010862","https://openalex.org/W2999026992","https://openalex.org/W3206779819"],"abstract_inverted_index":{"Remote":[0],"sensing":[1,13,34,88,109,134,167],"image":[2,35,110],"scene":[3,36,111,194],"classification":[4,78],"aims":[5,122],"to":[6,16,32,81,141,177],"automatically":[7],"assign":[8],"semantic":[9],"labels":[10],"for":[11,107],"remote":[12,33,87,108,133,166],"images.":[14,89,135],"Recently,":[15],"overcome":[17],"the":[18,46,49,67,73,77,82,118,124,143,150,155,171,179,191,198,201,210],"distribution":[19,145,152,180],"discrepancy":[20,153,181],"of":[21,86,132,138,147,154,182,193],"training":[22],"data":[23],"and":[24,52,104,128,149,200],"test":[25],"data,":[26],"domain":[27,39,51,54,98],"adaptation":[28,40,99],"has":[29,212],"been":[30],"applied":[31],"classification.":[37,112],"Most":[38],"approaches":[41],"usually":[42],"explore":[43],"transferability":[44,74,103,119,139,199],"under":[45],"assumption":[47],"that":[48,209],"source":[50],"target":[53,68],"have":[55],"common":[56],"classes.":[57],"However,":[58],"in":[59,66,158,165,185],"real":[60],"applications,":[61],"new":[62],"categories":[63],"may":[64],"appear":[65],"domain.":[69],"Besides,":[70],"only":[71],"considering":[72],"will":[75],"degrade":[76],"performance":[79],"due":[80],"strong":[83],"interclass":[84,163],"similarity":[85,164],"In":[90],"this":[91],"article,":[92],"we":[93,116,169,196,207],"present":[94],"an":[95],"open":[96],"set":[97],"algorithm":[100,211],"via":[101],"exploring":[102],"discriminability":[105,172,175,202],"(OSDA-ETD)":[106],"To":[113,188],"be":[114],"specific,":[115],"propose":[117],"technology,":[120],"which":[121],"at":[123],"high":[125,129,162],"interdomain":[126],"variations":[127],"intraclass":[130],"diversity":[131],"The":[136,174],"purpose":[137],"is":[140],"reduce":[142],"global":[144],"difference":[146],"domains":[148],"local":[151],"same":[156],"classes":[157,184],"different":[159,183,186],"domains.":[160,187],"For":[161],"images,":[168],"adopt":[170],"strategy.":[173],"intends":[176],"enlarge":[178],"further":[189],"promote":[190],"effectiveness":[192],"classification,":[195],"integrate":[197],"into":[203],"a":[204,213],"framework.":[205],"Moreover,":[206],"prove":[208],"unique":[214],"optimizer.":[215]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":5}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
