{"id":"https://openalex.org/W4313117736","doi":"https://doi.org/10.1109/jstars.2022.3218360","title":"A Trimodel SAR Semisupervised Recognition Method Based on Attention-Augmented Convolutional Networks","display_name":"A Trimodel SAR Semisupervised Recognition Method Based on Attention-Augmented Convolutional Networks","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4313117736","doi":"https://doi.org/10.1109/jstars.2022.3218360"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2022.3218360","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2022.3218360","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/4609444/09933710.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/4609443/4609444/09933710.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5053891299","display_name":"Sifan Yan","orcid":"https://orcid.org/0000-0001-6281-1173"},"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":true,"raw_author_name":"Sifan Yan","raw_affiliation_strings":["School of Electronic and Information Engineering, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004876095","display_name":"Yaotian Zhang","orcid":"https://orcid.org/0000-0002-6421-3465"},"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":"Yaotian Zhang","raw_affiliation_strings":["School of Electronic and Information Engineering, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085382296","display_name":"Fei Gao","orcid":"https://orcid.org/0000-0002-1489-0812"},"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":"Fei Gao","raw_affiliation_strings":["School of Electronic and Information Engineering, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100778202","display_name":"Jinping Sun","orcid":"https://orcid.org/0000-0002-7184-5057"},"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":"Jinping Sun","raw_affiliation_strings":["School of Electronic and Information Engineering, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062211930","display_name":"Amir Hussain","orcid":"https://orcid.org/0000-0002-8080-082X"},"institutions":[{"id":"https://openalex.org/I251738","display_name":"Edinburgh Napier University","ror":"https://ror.org/03zjvnn91","country_code":"GB","type":"education","lineage":["https://openalex.org/I251738"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Amir Hussain","raw_affiliation_strings":["Cyber and Big Data Research Laboratory, Edinburgh Napier University, Edinburgh, U.K","Cyber and Big Data Research Laboratory, Edinburgh Napier University, Edinburgh, Edinburgh, U.K"],"affiliations":[{"raw_affiliation_string":"Cyber and Big Data Research Laboratory, Edinburgh Napier University, Edinburgh, U.K","institution_ids":["https://openalex.org/I251738"]},{"raw_affiliation_string":"Cyber and Big Data Research Laboratory, Edinburgh Napier University, Edinburgh, Edinburgh, U.K","institution_ids":["https://openalex.org/I251738"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066119228","display_name":"Huiyu Zhou","orcid":"https://orcid.org/0000-0003-1634-9840"},"institutions":[{"id":"https://openalex.org/I153648349","display_name":"University of Leicester","ror":"https://ror.org/04h699437","country_code":"GB","type":"education","lineage":["https://openalex.org/I153648349"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Huiyu Zhou","raw_affiliation_strings":["Department of Informatics, University of Leicester, Leicester, U.K"],"affiliations":[{"raw_affiliation_string":"Department of Informatics, University of Leicester, Leicester, U.K","institution_ids":["https://openalex.org/I153648349"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5053891299"],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":{"value":1250,"currency":"USD","value_usd":1250},"fwci":0.6373,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.85120302,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"15","issue":null,"first_page":"9566","last_page":"9583"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/T11609","display_name":"Geophysical Methods and Applications","score":0.9940999746322632,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"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":0.7734246253967285},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.728163480758667},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.692939281463623},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.6569721102714539},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5455845594406128},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.506004273891449},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5025336742401123},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.48849403858184814},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4808714985847473},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.43175289034843445}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7734246253967285},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.728163480758667},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.692939281463623},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.6569721102714539},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5455845594406128},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.506004273891449},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5025336742401123},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.48849403858184814},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4808714985847473},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.43175289034843445},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/jstars.2022.3218360","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2022.3218360","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/4609444/09933710.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:d588b2d7bcf94e1c98779686e1e358f2","is_oa":true,"landing_page_url":"https://doaj.org/article/d588b2d7bcf94e1c98779686e1e358f2","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 9566-9583 (2022)","raw_type":"article"},{"id":"pmh:oai:figshare.com:article/21432297","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/A_Tri-Model_SAR_Semi-Supervised_Recognition_Method_Based_on_Attention-Augmented_Convolutional_Networks/21432297","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},{"id":"pmh:oai:repository@napier.ac.uk:2974668","is_oa":true,"landing_page_url":"http://researchrepository.napier.ac.uk/Output/2974668","pdf_url":null,"source":{"id":"https://openalex.org/S4306402591","display_name":"Edinburgh Napier Research Repository (Edinburgh Napier University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I251738","host_organization_name":"Edinburgh Napier University","host_organization_lineage":["https://openalex.org/I251738"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal Article"}],"best_oa_location":{"id":"doi:10.1109/jstars.2022.3218360","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2022.3218360","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/4609444/09933710.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.7400000095367432}],"awards":[{"id":"https://openalex.org/G1023919524","display_name":null,"funder_award_id":", Grant","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1081524018","display_name":null,"funder_award_id":"720325","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1361938442","display_name":null,"funder_award_id":"Fellowship","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G1504366969","display_name":"Natural Language Generation for Low-resource Domains","funder_award_id":"EP/T024917/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G1602035945","display_name":null,"funder_award_id":"1996-98","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G1934935867","display_name":null,"funder_award_id":"Engineering and Physical Sciences R","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G2020622295","display_name":null,"funder_award_id":"Big Data","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G2193117753","display_name":"COG-MHEAR: Towards cognitively-inspired 5G-IoT enabled, multi-modal Hearing Aids","funder_award_id":"EP/T021063/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G2519843700","display_name":"Context-Aware Cloud Topology Optimisation and Simulation","funder_award_id":"610711","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G2689612763","display_name":null,"funder_award_id":"Marie","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G2870525900","display_name":null,"funder_award_id":"Wuhan","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3025588869","display_name":null,"funder_award_id":"61071139","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3391686670","display_name":null,"funder_award_id":"EP/T024917","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G3514550006","display_name":null,"funder_award_id":"Centre","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G37568934","display_name":null,"funder_award_id":"Grant","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G386565863","display_name":null,"funder_award_id":"EP/T024917/","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4097937278","display_name":"Towards visually-driven speech enhancement for cognitively-inspired multi-modal hearing-aid devices (AV-COGHEAR)","funder_award_id":"EP/M026981/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G4749791213","display_name":null,"funder_award_id":"61071139","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4956428346","display_name":null,"funder_award_id":"Horizon 2020 research and innovatio","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G5036817778","display_name":null,"funder_award_id":"European Union's Horizon 2020 research and innov","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G5186289593","display_name":null,"funder_award_id":"61771027","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G5198107331","display_name":"Smartphone analyzers for on-site testing of food quality and safety","funder_award_id":"720325","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G5317956557","display_name":null,"funder_award_id":"2020.","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G5524279325","display_name":null,"funder_award_id":"61771027","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5666146772","display_name":null,"funder_award_id":"NA160342","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5939423041","display_name":null,"funder_award_id":"Technology","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8051717526","display_name":null,"funder_award_id":"Grant","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G8318064016","display_name":null,"funder_award_id":"Horizon","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G8388852492","display_name":null,"funder_award_id":"NA160342","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G8529975404","display_name":null,"funder_award_id":"720325","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8633428685","display_name":null,"funder_award_id":"European Union's Horizon 2020 research and innovat","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"}],"funders":[{"id":"https://openalex.org/F4320310838","display_name":"University of Dundee","ror":"https://ror.org/03h2bxq36"},{"id":"https://openalex.org/F4320311518","display_name":"Heriot-Watt University","ror":"https://ror.org/04mghma93"},{"id":"https://openalex.org/F4320320276","display_name":"University of Leicester","ror":"https://ror.org/04h699437"},{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320320619","display_name":"Edinburgh Napier University","ror":"https://ror.org/03zjvnn91"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321125","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56"},{"id":"https://openalex.org/F4320321883","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53"},{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4313117736.pdf","grobid_xml":"https://content.openalex.org/works/W4313117736.grobid-xml"},"referenced_works_count":69,"referenced_works":["https://openalex.org/W1945616565","https://openalex.org/W1991814629","https://openalex.org/W2002857245","https://openalex.org/W2070665556","https://openalex.org/W2081293863","https://openalex.org/W2129068307","https://openalex.org/W2148898243","https://openalex.org/W2174554700","https://openalex.org/W2194775991","https://openalex.org/W2292481059","https://openalex.org/W2346952186","https://openalex.org/W2431080869","https://openalex.org/W2500751094","https://openalex.org/W2544339223","https://openalex.org/W2620547787","https://openalex.org/W2765957155","https://openalex.org/W2789830462","https://openalex.org/W2806263990","https://openalex.org/W2809742058","https://openalex.org/W2896988829","https://openalex.org/W2919088249","https://openalex.org/W2922891743","https://openalex.org/W2923249467","https://openalex.org/W2951970475","https://openalex.org/W2952229419","https://openalex.org/W2953070460","https://openalex.org/W2956480774","https://openalex.org/W2962369866","https://openalex.org/W2963091558","https://openalex.org/W2963623257","https://openalex.org/W2963925437","https://openalex.org/W2964159205","https://openalex.org/W2981413347","https://openalex.org/W2989218065","https://openalex.org/W2990231018","https://openalex.org/W3030342502","https://openalex.org/W3056736931","https://openalex.org/W3094502228","https://openalex.org/W3094709941","https://openalex.org/W3096609285","https://openalex.org/W3097065222","https://openalex.org/W3121583704","https://openalex.org/W3136341174","https://openalex.org/W3200421546","https://openalex.org/W3208926440","https://openalex.org/W4205652744","https://openalex.org/W4287322212","https://openalex.org/W4293077406","https://openalex.org/W4298395628","https://openalex.org/W4385245566","https://openalex.org/W6623329352","https://openalex.org/W6640425456","https://openalex.org/W6678975374","https://openalex.org/W6685251022","https://openalex.org/W6717772578","https://openalex.org/W6733814495","https://openalex.org/W6739901393","https://openalex.org/W6753441378","https://openalex.org/W6763367864","https://openalex.org/W6763509872","https://openalex.org/W6764051988","https://openalex.org/W6765571568","https://openalex.org/W6765939562","https://openalex.org/W6780226713","https://openalex.org/W6784333009","https://openalex.org/W6784769123","https://openalex.org/W6791493996","https://openalex.org/W6801053922","https://openalex.org/W6802858361"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W4375867731","https://openalex.org/W2611989081","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3193565141","https://openalex.org/W3133861977","https://openalex.org/W3167935049","https://openalex.org/W3029198973","https://openalex.org/W4381745220"],"abstract_inverted_index":{"Semi-supervised":[0],"learning":[1,52,257],"(SSL)":[2],"in":[3,14,40,50,57,78,241],"synthetic":[4],"aperture":[5],"radars":[6],"(SAR)":[7],"is":[8,82],"one":[9],"of":[10,17,74,88,243],"the":[11,15,41,75,79,86,100,110,133,168,181,191,197,208,212,215,218,223,255],"research":[12,260],"hotspots":[13],"field":[16],"radar-image":[18],"automatic":[19],"target":[20,81],"recognition":[21,58,244],"(ATR).":[22],"It":[23],"can":[24],"efficiently":[25],"deal":[26],"with":[27,157],"challenging":[28],"environments":[29],"where":[30],"there":[31],"are":[32],"insufficient":[33],"labeled":[34],"samples":[35,39],"and":[36,60,115,154,195,217,225,229,258],"large":[37],"unlabeled":[38],"SAR":[42,259],"dataset.":[43],"In":[44],"recent":[45],"years,":[46],"consistency":[47,63,203],"regularization":[48,64,103],"methods":[49,240],"semi-supervised":[51,124,239],"have":[53],"shown":[54],"considerable":[55],"improvement":[56],"accuracy":[59],"efficiency.":[61],"Current":[62],"approaches":[65],"suffer":[66],"from":[67,176],"two":[68],"main":[69],"shortcomings:":[70],"firstly,":[71],"extracting":[72],"all":[73],"relevant":[76],"information":[77,175],"image":[80],"difficult":[83],"owing":[84],"to":[85,94,109,131,166,171,190,199,210],"inability":[87],"conventional":[89],"convolutional":[90,129,160],"neural":[91,151],"networks":[92,130,152],"(CNN)":[93],"capture":[95],"global":[96,173],"relational":[97],"information,;":[98],"secondly,":[99],"standard":[101,159,192],"teacher-student":[102,193],"methodology":[104],"causes":[105],"confirmation":[106,182],"biases":[107],"due":[108],"high":[111],"coupling":[112],"between":[113,214],"teacher":[114,216],"student":[116,209],"models.":[117],"This":[118],"work":[119],"adopts":[120],"an":[121,139],"innovative":[122],"tri-model":[123],"method":[125,147,236],"based":[126,148],"on":[127,149,207,222],"attention-augmented":[128],"address":[132,180],"aforementioned":[134],"obstacles.":[135],"Specifically,":[136],"we":[137,179],"develop":[138],"attention":[140],"mechanism":[141],"incorporating":[142],"a":[143,158,163,187,201,250],"novel":[144],"positional":[145],"embedding":[146],"recurrent":[150],"(RNN),":[153],"integrate":[155],"this":[156],"network":[161],"as":[162,249],"feature":[164,174],"extractor,":[165],"improve":[167],"network's":[169],"ability":[170],"extract":[172],"images.":[177],"Further,":[178],"bias":[183],"problem":[184],"by":[185],"introducing":[186],"classmate":[188],"model":[189,198],"structure":[194],"utilise":[196],"impose":[200],"weak":[202],"constraint":[204],"(WCC)":[205],"designed":[206],"weaken":[211],"strong-coupling":[213],"student.":[219],"Comparative":[220],"experiments":[221],"Moving":[224],"Stationary":[226],"Target":[227],"Acquisition":[228],"Recognition":[230],"(MSTAR)":[231],"dataset":[232],"show":[233],"that":[234],"our":[235],"outperforms":[237],"state-of-the-art":[238],"terms":[242],"accuracy,":[245],"demonstrating":[246],"its":[247],"potential":[248],"new":[251],"benchmark":[252],"approach":[253],"for":[254],"deep":[256],"community.":[261]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}