{"id":"https://openalex.org/W4390224468","doi":"https://doi.org/10.1109/tgrs.2023.3347618","title":"Hierarchical Feature Progressive Alignment Network for Remote Sensing Image Scene Classification in Multitarget Domain Adaptation","display_name":"Hierarchical Feature Progressive Alignment Network for Remote Sensing Image Scene Classification in Multitarget Domain Adaptation","publication_year":2023,"publication_date":"2023-12-26","ids":{"openalex":"https://openalex.org/W4390224468","doi":"https://doi.org/10.1109/tgrs.2023.3347618"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2023.3347618","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3347618","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/A5083535665","display_name":"Miao Wang","orcid":"https://orcid.org/0009-0006-8704-4445"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wang Miao","raw_affiliation_strings":["School of Electronics and Information, Northwestern Polytechnical University, Xi’an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics and Information, Northwestern Polytechnical University, Xi’an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103105818","display_name":"Wenqi Han","orcid":"https://orcid.org/0009-0003-6831-4364"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenqi Han","raw_affiliation_strings":["School of Electronics and Information, Northwestern Polytechnical University, Xi’an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics and Information, Northwestern Polytechnical University, Xi’an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033213528","display_name":"Jie Geng","orcid":"https://orcid.org/0000-0003-4858-823X"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Geng","raw_affiliation_strings":["School of Electronics and Information, Northwestern Polytechnical University, Xi’an, China"],"raw_orcid":"https://orcid.org/0000-0003-4858-823X","affiliations":[{"raw_affiliation_string":"School of Electronics and Information, Northwestern Polytechnical University, Xi’an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041289658","display_name":"Wen Jiang","orcid":"https://orcid.org/0000-0001-5429-2748"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wen Jiang","raw_affiliation_strings":["School of Electronics and Information, Northwestern Polytechnical University, Xi’an, China"],"raw_orcid":"https://orcid.org/0000-0001-5429-2748","affiliations":[{"raw_affiliation_string":"School of Electronics and Information, Northwestern Polytechnical University, Xi’an, China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5083535665"],"corresponding_institution_ids":["https://openalex.org/I17145004"],"apc_list":null,"apc_paid":null,"fwci":0.6653,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.76549777,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"62","issue":null,"first_page":"1","last_page":"13"},"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":0.9965999722480774,"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":0.9965999722480774,"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":0.9901999831199646,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8313215970993042},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6680439114570618},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6218369603157043},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6146912574768066},{"id":"https://openalex.org/keywords/granularity","display_name":"Granularity","score":0.6057641506195068},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5747295022010803},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5408862233161926},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.4991929531097412},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.4803389310836792},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.4697608947753906},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4268481135368347},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.381830096244812},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.343051552772522},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07466930150985718},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.07132753729820251}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8313215970993042},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6680439114570618},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6218369603157043},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6146912574768066},{"id":"https://openalex.org/C177774035","wikidata":"https://www.wikidata.org/wiki/Q1246948","display_name":"Granularity","level":2,"score":0.6057641506195068},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5747295022010803},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5408862233161926},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.4991929531097412},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.4803389310836792},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.4697608947753906},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4268481135368347},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.381830096244812},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.343051552772522},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07466930150985718},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.07132753729820251},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2023.3347618","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3347618","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/G2582255106","display_name":null,"funder_award_id":"2021M700110","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G4621052148","display_name":null,"funder_award_id":"959202313089","funder_id":"https://openalex.org/F4320329362","funder_display_name":"Xi'an Science and Technology Association"},{"id":"https://openalex.org/G6207776999","display_name":null,"funder_award_id":"D5000230067","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G7487032181","display_name":null,"funder_award_id":"2021TQ0271","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G8527476348","display_name":null,"funder_award_id":"62271396","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/F4320329362","display_name":"Xi'an Science and Technology Association","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W2584983011","https://openalex.org/W2783165089","https://openalex.org/W2945988686","https://openalex.org/W2964285681","https://openalex.org/W2989738275","https://openalex.org/W2994639710","https://openalex.org/W2998115938","https://openalex.org/W3002497127","https://openalex.org/W3017075957","https://openalex.org/W3027585699","https://openalex.org/W3034563784","https://openalex.org/W3035590987","https://openalex.org/W3041133507","https://openalex.org/W3080263182","https://openalex.org/W3092500685","https://openalex.org/W3100126235","https://openalex.org/W3105298104","https://openalex.org/W3113299742","https://openalex.org/W3132720385","https://openalex.org/W3136251366","https://openalex.org/W3181434681","https://openalex.org/W3183605589","https://openalex.org/W3196157508","https://openalex.org/W3199617538","https://openalex.org/W3213288046","https://openalex.org/W4206554021","https://openalex.org/W4213218297","https://openalex.org/W4213253308","https://openalex.org/W4225986700","https://openalex.org/W4280563105","https://openalex.org/W4288391342","https://openalex.org/W4290712873","https://openalex.org/W4296606738","https://openalex.org/W4310714442","https://openalex.org/W4312546407","https://openalex.org/W4312609752","https://openalex.org/W4312714345","https://openalex.org/W4313063910","https://openalex.org/W4315489520","https://openalex.org/W4317877833","https://openalex.org/W4318620405","https://openalex.org/W4321484009","https://openalex.org/W4321608682","https://openalex.org/W4360770903","https://openalex.org/W4361802383","https://openalex.org/W4366148227","https://openalex.org/W4366352743","https://openalex.org/W4379985134","https://openalex.org/W4382371057","https://openalex.org/W4382407529","https://openalex.org/W4384521492","https://openalex.org/W4386076497","https://openalex.org/W4386076502","https://openalex.org/W4388430530","https://openalex.org/W6683633756","https://openalex.org/W6713955831","https://openalex.org/W6750109254"],"related_works":["https://openalex.org/W2931688134","https://openalex.org/W2377919138","https://openalex.org/W2378857091","https://openalex.org/W4256502920","https://openalex.org/W103652678","https://openalex.org/W2999756192","https://openalex.org/W4226090359","https://openalex.org/W4382701072","https://openalex.org/W2011624601","https://openalex.org/W2565656575"],"abstract_inverted_index":{"Multitarget":[0],"domain":[1,26,35,45],"adaptation":[2,36],"(MTDA)":[3],"presents":[4],"a":[5,23,74,89,110],"formidable":[6],"challenge":[7],"in":[8,61,83,102,141],"remote":[9,103],"sensing":[10,104],"image":[11],"scene":[12,161],"classification":[13,66,162,182],"(RSICS),":[14],"where":[15],"the":[16,53,99,123,133,139,151,171],"objective":[17],"is":[18,39],"to":[19,27,33,44,97,137,146,179],"transfer":[20],"knowledge":[21],"from":[22,144],"labeled":[24],"source":[25],"several":[28,159],"unlabeled":[29],"target":[30,49],"domains.":[31,50],"Compared":[32],"single-source-single-target":[34],"(S3TDA),":[37],"MTDA":[38],"inherently":[40],"more":[41],"complex":[42],"due":[43],"shifts":[46],"among":[47],"multiple":[48],"Directly":[51],"merging":[52],"unique":[54],"features":[55,136],"of":[56,153,173],"multitarget":[57],"domains":[58],"can":[59],"result":[60],"corrupted":[62],"information":[63,93],"and":[64,91,176],"poor":[65],"performance.":[67,183],"To":[68,149],"address":[69],"these":[70],"challenges,":[71],"we":[72,108,127,157],"propose":[73],"hierarchical":[75,111,118,135],"feature":[76,112],"progressive":[77],"alignment":[78,130],"network":[79,96],"(HFPAN)":[80],"for":[81,122,132],"RSICS":[82],"MTDA.":[84],"First,":[85],"our":[86,154,174],"method":[87],"introduces":[88],"fine-grained":[90],"contextual":[92],"extraction":[94],"(FCIE)":[95],"extract":[98],"global-local":[100],"correlation":[101],"(RS)":[105],"images.":[106],"Second,":[107],"construct":[109],"embedding":[113],"(HFE)":[114],"framework":[115],"that":[116],"maintains":[117],"inter,":[119],"intra":[120],"constraints":[121],"extracted":[124],"features.":[125],"Finally,":[126],"perform":[128],"an":[129],"process":[131],"constructed":[134],"minimize":[138],"differences":[140],"MTDA,":[142],"progressing":[143],"coarse":[145],"fine":[147],"granularity.":[148],"evaluate":[150],"efficacy":[152],"proposed":[155],"method,":[156],"conducted":[158],"cross-domain":[160],"experiments":[163,169],"on":[164],"five":[165],"public":[166],"datasets.":[167],"These":[168],"demonstrate":[170],"novelty":[172],"approach":[175],"its":[177],"ability":[178],"achieve":[180],"improved":[181]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2}],"updated_date":"2026-05-20T08:49:12.498775","created_date":"2025-10-10T00:00:00"}