{"id":"https://openalex.org/W4396531078","doi":"https://doi.org/10.1109/tgrs.2024.3395313","title":"Spatial\u2013Channel Attention Transformer With Pseudo Regions for Remote Sensing Image-Text Retrieval","display_name":"Spatial\u2013Channel Attention Transformer With Pseudo Regions for Remote Sensing Image-Text Retrieval","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4396531078","doi":"https://doi.org/10.1109/tgrs.2024.3395313"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2024.3395313","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3395313","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/A5083360832","display_name":"Dongqing Wu","orcid":"https://orcid.org/0000-0003-0749-4050"},"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":"Dongqing Wu","raw_affiliation_strings":["School of Automation, Northwestern Polytechnical University, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Northwestern Polytechnical University, Xi’an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088848549","display_name":"Huihui Li","orcid":"https://orcid.org/0009-0000-0875-2125"},"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":"Huihui Li","raw_affiliation_strings":["School of Automation, Northwestern Polytechnical University, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Northwestern Polytechnical University, Xi’an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100781303","display_name":"Yinxuan Hou","orcid":"https://orcid.org/0009-0000-3344-6664"},"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":"Yinxuan Hou","raw_affiliation_strings":["School of Cybersecurity, Northwestern Polytechnical University, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"School of Cybersecurity, Northwestern Polytechnical University, Xi’an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012537659","display_name":"Cuili Xu","orcid":"https://orcid.org/0009-0009-1048-9384"},"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":"Cuili Xu","raw_affiliation_strings":["School of Cybersecurity, Northwestern Polytechnical University, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"School of Cybersecurity, Northwestern Polytechnical University, Xi’an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080476856","display_name":"Gong Cheng","orcid":"https://orcid.org/0000-0001-5030-0683"},"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":"Gong Cheng","raw_affiliation_strings":["School of Automation, Northwestern Polytechnical University, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Northwestern Polytechnical University, Xi’an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100344286","display_name":"Lei Guo","orcid":"https://orcid.org/0000-0003-0728-896X"},"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":"Lei Guo","raw_affiliation_strings":["School of Automation, Northwestern Polytechnical University, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Northwestern Polytechnical University, Xi’an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100338895","display_name":"Hang Liu","orcid":"https://orcid.org/0000-0001-7948-4236"},"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":"Hang Liu","raw_affiliation_strings":["School of Cybersecurity, Northwestern Polytechnical University, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"School of Cybersecurity, Northwestern Polytechnical University, Xi’an, China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5083360832"],"corresponding_institution_ids":["https://openalex.org/I17145004"],"apc_list":null,"apc_paid":null,"fwci":5.1479,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.96442558,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"62","issue":null,"first_page":"1","last_page":"15"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9994999766349792,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9984999895095825,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9980000257492065,"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":0.6933472156524658},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.629259467124939},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.5474104285240173},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.47678589820861816},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.4605708420276642},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3818685710430145},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38020753860473633},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3144764006137848},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.2220558524131775},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.13825157284736633},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.08625045418739319}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6933472156524658},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.629259467124939},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.5474104285240173},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.47678589820861816},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.4605708420276642},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3818685710430145},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38020753860473633},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3144764006137848},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.2220558524131775},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.13825157284736633},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.08625045418739319},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2024.3395313","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3395313","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/G847362723","display_name":null,"funder_award_id":"61936007","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":69,"referenced_works":["https://openalex.org/W2031614119","https://openalex.org/W2194775991","https://openalex.org/W2401246392","https://openalex.org/W2567850185","https://openalex.org/W2603566245","https://openalex.org/W2779054585","https://openalex.org/W2808376087","https://openalex.org/W2898008292","https://openalex.org/W2945385604","https://openalex.org/W2951019013","https://openalex.org/W2962964995","https://openalex.org/W2963091558","https://openalex.org/W2964067226","https://openalex.org/W2966683369","https://openalex.org/W2981448908","https://openalex.org/W2988823324","https://openalex.org/W2994818707","https://openalex.org/W2997786074","https://openalex.org/W3004137323","https://openalex.org/W3033783894","https://openalex.org/W3034552520","https://openalex.org/W3035160838","https://openalex.org/W3042481550","https://openalex.org/W3046260628","https://openalex.org/W3083147600","https://openalex.org/W3092820619","https://openalex.org/W3100245404","https://openalex.org/W3111501160","https://openalex.org/W3117344638","https://openalex.org/W3128592650","https://openalex.org/W3129029680","https://openalex.org/W3140792177","https://openalex.org/W3160179442","https://openalex.org/W3165084071","https://openalex.org/W3174377922","https://openalex.org/W3175888430","https://openalex.org/W3194015448","https://openalex.org/W3208803664","https://openalex.org/W3214821343","https://openalex.org/W3217792975","https://openalex.org/W4205723298","https://openalex.org/W4214910799","https://openalex.org/W4224911357","https://openalex.org/W4225991573","https://openalex.org/W4226200183","https://openalex.org/W4226291728","https://openalex.org/W4285215809","https://openalex.org/W4285818301","https://openalex.org/W4288391342","https://openalex.org/W4289654394","https://openalex.org/W4297733535","https://openalex.org/W4304084012","https://openalex.org/W4308743547","https://openalex.org/W4312219282","https://openalex.org/W4312272363","https://openalex.org/W4319663732","https://openalex.org/W4322707256","https://openalex.org/W4323824384","https://openalex.org/W4362014056","https://openalex.org/W4378696930","https://openalex.org/W4379795525","https://openalex.org/W4379806246","https://openalex.org/W4385245566","https://openalex.org/W4386212341","https://openalex.org/W4388740367","https://openalex.org/W6745537798","https://openalex.org/W6747225742","https://openalex.org/W6850925396","https://openalex.org/W7057556061"],"related_works":["https://openalex.org/W2121524756","https://openalex.org/W782553550","https://openalex.org/W1987967678","https://openalex.org/W2633218168","https://openalex.org/W4235897794","https://openalex.org/W2059707233","https://openalex.org/W2085738998","https://openalex.org/W2095126257","https://openalex.org/W2031511989","https://openalex.org/W1606936601"],"abstract_inverted_index":{"Recently,":[0],"remote":[1,20,67,137],"sensing":[2,21,68,138],"image-text":[3],"retrieval":[4],"(RSITR)":[5],"has":[6],"received":[7],"significant":[8],"attention":[9,78,169,219],"due":[10],"to":[11,84,91,129,149,170,189,193],"its":[12],"flexible":[13],"query":[14],"form":[15],"and":[16,32,131,167,179,195,228,234],"effective":[17],"management":[18],"of":[19,96,154,236],"images.":[22,43,69],"However,":[23],"prior":[24],"work":[25],"often":[26],"relies":[27],"on":[28,142,223],"compact":[29],"global":[30],"features":[31,35,51,111,175],"ignores":[33],"local":[34,97,134],"that":[36,107,212],"can":[37],"reflect":[38],"salient":[39],"objects":[40,135],"in":[41,52,66,89,136,147],"the":[42,53,61,93,172,182,186,214,232],"Moreover,":[44],"these":[45,86],"methods":[46],"primarily":[47],"model":[48],"interactions":[49],"between":[50,174],"spatial":[54,166,178],"domain,":[55],"which":[56],"is":[57],"insufficient":[58],"for":[59],"mining":[60],"rich":[62],"semantic":[63,114],"information":[64,115],"presented":[65],"In":[70,205],"this":[71],"article,":[72],"we":[73,99,158],"propose":[74],"a":[75,101,120,151,161,201],"novel":[76,162,210],"spatial-channel":[77],"transformer":[79],"(SCAT)":[80],"with":[81,112],"pseudo":[82,102],"regions":[83],"address":[85],"issues.":[87],"Concretely,":[88],"order":[90,148],"acquire":[92],"fine-grained":[94],"perception":[95],"objects,":[98],"introduce":[100],"region":[103],"generation":[104],"(PRG)":[105],"module":[106],"adaptively":[108],"aggregates":[109],"grid":[110],"similar":[113],"into":[116],"multiple":[117],"clusters":[118],"through":[119],"clustering":[121],"algorithm.":[122],"These":[123],"generated":[124],"cluster":[125],"centers":[126],"are":[127],"able":[128],"flexibly":[130],"efficiently":[132],"represent":[133],"images":[139],"without":[140],"relying":[141],"sophisticated":[143],"object":[144],"detectors.":[145],"Furthermore,":[146],"achieve":[150],"comprehensive":[152],"understanding":[153],"image":[155],"semantics":[156],"information,":[157],"carefully":[159],"construct":[160],"SCAT.":[163],"By":[164],"exploiting":[165],"channel":[168,180],"explore":[171],"dependencies":[173],"at":[176],"both":[177,191],"domains,":[181],"proposed":[183,238],"SCAT":[184,207],"enhances":[185],"model\u2019s":[187],"ability":[188],"identify":[190],"\u201cwhere":[192],"look\u201d":[194],"\u201cwhat":[196],"it":[197],"is,\u201d":[198],"thereby":[199],"obtaining":[200],"more":[202],"powerful":[203],"representation.":[204],"addition,":[206],"incorporates":[208],"two":[209,224],"designs":[211],"alleviate":[213],"high":[215],"overhead":[216],"caused":[217],"by":[218],"modeling.":[220],"Extensive":[221],"experiments":[222],"benchmark":[225],"datasets,":[226],"RSICD":[227],"RSITMD,":[229],"fully":[230],"demonstrate":[231],"effectiveness":[233],"superiority":[235],"our":[237],"method.":[239]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":16},{"year":2024,"cited_by_count":2}],"updated_date":"2026-03-13T16:22:10.518609","created_date":"2025-10-10T00:00:00"}