{"id":"https://openalex.org/W4412567439","doi":"https://doi.org/10.1109/tgrs.2025.3591186","title":"Robust and Discriminative Visual-Semantic Alignment for Zero-Shot Remote Sensing Image Scene Classification","display_name":"Robust and Discriminative Visual-Semantic Alignment for Zero-Shot Remote Sensing Image Scene Classification","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4412567439","doi":"https://doi.org/10.1109/tgrs.2025.3591186"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2025.3591186","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3591186","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/A5100355653","display_name":"Yang Liu","orcid":"https://orcid.org/0000-0001-5917-8653"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Liu","raw_affiliation_strings":["School of Telecommunications Engineering, Xidian University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0001-5917-8653","affiliations":[{"raw_affiliation_string":"School of Telecommunications Engineering, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108990032","display_name":"Weixing Luo","orcid":null},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weixing Luo","raw_affiliation_strings":["School of Telecommunications Engineering, Xidian University, Xi&#x2019;an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Telecommunications Engineering, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101785348","display_name":"Xinbo Gao","orcid":"https://orcid.org/0000-0002-7985-0037"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinbo Gao","raw_affiliation_strings":["School of Electronic Engineering, Xidian University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0002-7985-0037","affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046605531","display_name":"Jungong Han","orcid":"https://orcid.org/0000-0003-4361-956X"},"institutions":[{"id":"https://openalex.org/I91136226","display_name":"University of Sheffield","ror":"https://ror.org/05krs5044","country_code":"GB","type":"education","lineage":["https://openalex.org/I91136226"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN","GB"],"is_corresponding":false,"raw_author_name":"Jungong Han","raw_affiliation_strings":["Department of Automation, Tsinghua University, Beijing, China","Department of Computer Science, The University of Sheffield, Yorkshire, U.K"],"raw_orcid":"https://orcid.org/0000-0003-4361-956X","affiliations":[{"raw_affiliation_string":"Department of Automation, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Department of Computer Science, The University of Sheffield, Yorkshire, U.K","institution_ids":["https://openalex.org/I91136226"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082634513","display_name":"Ling Shao","orcid":"https://orcid.org/0000-0002-8264-6117"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ling Shao","raw_affiliation_strings":["UCAS-Terminus AI Laboratory, University of Chinese Academy of Sciences, Beijing, China","UCAS-Terminus AI Lab, University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-8264-6117","affiliations":[{"raw_affiliation_string":"UCAS-Terminus AI Laboratory, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"UCAS-Terminus AI Lab, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.22112183,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"63","issue":null,"first_page":"1","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9825999736785889,"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"}},"topics":[{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9825999736785889,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9399999976158142,"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":0.9253000020980835,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7369661331176758},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7116663455963135},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6367425322532654},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5929375290870667},{"id":"https://openalex.org/keywords/shot","display_name":"Shot (pellet)","score":0.5322109460830688},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.5145127773284912},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45886561274528503},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4327016770839691},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.42289024591445923},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.09643197059631348}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7369661331176758},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7116663455963135},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6367425322532654},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5929375290870667},{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.5322109460830688},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.5145127773284912},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45886561274528503},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4327016770839691},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.42289024591445923},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.09643197059631348},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2025.3591186","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3591186","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":[{"id":"https://metadata.un.org/sdg/10","score":0.8100000023841858,"display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G3453920714","display_name":null,"funder_award_id":"62221005","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4854076541","display_name":null,"funder_award_id":"62376207","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5985293467","display_name":null,"funder_award_id":"2024015","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"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":52,"referenced_works":["https://openalex.org/W2032699694","https://openalex.org/W2077689834","https://openalex.org/W2098411764","https://openalex.org/W2108598243","https://openalex.org/W2171061940","https://openalex.org/W2194775991","https://openalex.org/W2515866431","https://openalex.org/W2592962403","https://openalex.org/W2596142952","https://openalex.org/W2601051138","https://openalex.org/W2607508964","https://openalex.org/W2607642691","https://openalex.org/W2611632661","https://openalex.org/W2767184555","https://openalex.org/W2789366140","https://openalex.org/W2894544367","https://openalex.org/W2915533878","https://openalex.org/W2915585235","https://openalex.org/W2963283377","https://openalex.org/W2963499153","https://openalex.org/W2963634205","https://openalex.org/W2990947836","https://openalex.org/W3002678554","https://openalex.org/W3014999631","https://openalex.org/W3022140654","https://openalex.org/W3035524453","https://openalex.org/W3094502228","https://openalex.org/W3119804198","https://openalex.org/W3120854878","https://openalex.org/W3136203352","https://openalex.org/W3143107425","https://openalex.org/W3171926364","https://openalex.org/W3182605419","https://openalex.org/W3188086824","https://openalex.org/W3207967731","https://openalex.org/W4224302362","https://openalex.org/W4224938403","https://openalex.org/W4294170691","https://openalex.org/W4294891318","https://openalex.org/W4311415873","https://openalex.org/W4311967393","https://openalex.org/W4313009154","https://openalex.org/W4320013936","https://openalex.org/W4324258884","https://openalex.org/W4387872074","https://openalex.org/W6738239618","https://openalex.org/W6755207826","https://openalex.org/W6763416564","https://openalex.org/W6779648392","https://openalex.org/W6781630272","https://openalex.org/W6791353385","https://openalex.org/W6802136708"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W2074502265","https://openalex.org/W4214877189","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W2761785940","https://openalex.org/W2129933262"],"abstract_inverted_index":{"With":[0],"the":[1,8,24,41,94,106,114,119,185],"rapid":[2],"development":[3],"of":[4,10,60,97,109,121,187],"remote":[5,28,128,162],"sensing":[6,29,129,163],"technology,":[7],"range":[9],"its":[11],"applications,":[12],"such":[13],"as":[14,54],"urban":[15],"planning":[16],"and":[17,75,100,112,125,138,147,176],"environmental":[18],"monitoring,":[19],"has":[20],"broadened":[21],"considerably.":[22],"However,":[23],"vast":[25],"increase":[26],"in":[27,118,127,152,173],"data":[30,123],"poses":[31],"challenges":[32],"for":[33,86],"training":[34,66],"deep":[35],"neural":[36],"networks,":[37],"primarily":[38],"due":[39],"to":[40,142],"extensive":[42],"labeled":[43],"datasets":[44],"required.":[45],"To":[46],"address":[47],"this":[48,69],"issue,":[49],"zero-shot":[50,178],"learning":[51,85,115,179,191],"(ZSL)":[52],"emerges":[53],"a":[55,73,134,139],"viable":[56],"approach,":[57],"enabling":[58],"recognition":[59],"unseen":[61],"categories":[62],"without":[63],"relying":[64],"on":[65,160],"samples.":[67],"In":[68],"paper,":[70],"we":[71,132],"introduce":[72],"Robust":[74],"Discriminative":[76],"Visual-Semantic":[77],"Alignment":[78],"(RDVSA)":[79],"model,":[80],"which":[81],"utilizes":[82],"attribute-guided":[83],"contrastive":[84,190],"enhanced":[87],"performance.":[88],"By":[89],"incorporating":[90],"category":[91],"centroids":[92],"into":[93],"embedding":[95],"space":[96],"visual":[98],"features":[99,111],"attribute":[101,156],"descriptions,":[102],"our":[103,167],"model":[104],"enhances":[105],"discriminative":[107],"power":[108],"learned":[110],"stabilizes":[113],"process,":[116],"particularly":[117],"presence":[120],"complex":[122],"distributions":[124],"noise":[126],"images.":[130],"Additionally,":[131],"employ":[133],"Vision":[135],"Transformer":[136],"(ViT)":[137],"\u201cmean-teacher\"":[140],"framework":[141],"capture":[143],"both":[144,174],"global":[145],"context":[146],"local":[148],"details,":[149],"ensuring":[150],"robustness":[151],"occluded":[153],"or":[154],"irrelevant":[155],"regions.":[157],"Comprehensive":[158],"experiments":[159],"large-scale":[161],"benchmarks":[164],"reveal":[165],"that":[166],"approach":[168],"surpasses":[169],"current":[170],"state-of-the-art":[171],"methods":[172],"ZSL":[175],"generalized":[177],"(GZSL)":[180],"scenarios.":[181],"These":[182],"results":[183],"underscore":[184],"effectiveness":[186],"using":[188],"attribute-based":[189],"alongside":[192],"consistency":[193],"constraints.":[194]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
