{"id":"https://openalex.org/W4415178736","doi":"https://doi.org/10.1109/lsp.2025.3620780","title":"Few-Samples Target Recognition Based on Dual-Generation Network Data Augmentation and Feature Fusion","display_name":"Few-Samples Target Recognition Based on Dual-Generation Network Data Augmentation and Feature Fusion","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4415178736","doi":"https://doi.org/10.1109/lsp.2025.3620780"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2025.3620780","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2025.3620780","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","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/A5120017416","display_name":"Caiyun Wang","orcid":"https://orcid.org/0000-0003-4028-5488"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Caiyun Wang","raw_affiliation_strings":["School of Astronautics, Nanjing University of Aeronautics and Astronautics, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0003-4028-5488","affiliations":[{"raw_affiliation_string":"School of Astronautics, Nanjing University of Aeronautics and Astronautics, Nanjing, China","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Wenting Zhang","orcid":"https://orcid.org/0009-0006-2153-6543"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenting Zhang","raw_affiliation_strings":["School of Astronautics, Nanjing University of Aeronautics and Astronautics, Nanjing, China"],"raw_orcid":"https://orcid.org/0009-0006-2153-6543","affiliations":[{"raw_affiliation_string":"School of Astronautics, Nanjing University of Aeronautics and Astronautics, Nanjing, China","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101411099","display_name":"Jianing Wang","orcid":"https://orcid.org/0000-0001-6254-2524"},"institutions":[{"id":"https://openalex.org/I202334528","display_name":"Beijing Electronic Science and Technology Institute","ror":"https://ror.org/01xdzh226","country_code":"CN","type":"education","lineage":["https://openalex.org/I202334528"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianing Wang","raw_affiliation_strings":["Beijing Institute of Electronic Engineering, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Institute of Electronic Engineering, Beijing, China","institution_ids":["https://openalex.org/I202334528"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5104180251","display_name":"Yida Wu","orcid":"https://orcid.org/0000-0002-1822-1624"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yida Wu","raw_affiliation_strings":["School of Astronautics, Nanjing University of Aeronautics and Astronautics, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-1822-1624","affiliations":[{"raw_affiliation_string":"School of Astronautics, Nanjing University of Aeronautics and Astronautics, Nanjing, China","institution_ids":["https://openalex.org/I9842412"]}]}],"institutions":[],"countries_distinct_count":1,"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":0.3244508,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"32","issue":null,"first_page":"3984","last_page":"3988"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13717","display_name":"Advanced Algorithms and Applications","score":0.9348000288009644,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T13717","display_name":"Advanced Algorithms and Applications","score":0.9348000288009644,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/robustness","display_name":"Robustness (evolution)","score":0.628600001335144},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.6144999861717224},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5763999819755554},{"id":"https://openalex.org/keywords/automatic-target-recognition","display_name":"Automatic target recognition","score":0.5058000087738037},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4717000126838684},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4702000021934509},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.43619999289512634},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.4219000041484833},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.41519999504089355}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7110000252723694},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6890000104904175},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.628600001335144},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.6144999861717224},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5763999819755554},{"id":"https://openalex.org/C117623542","wikidata":"https://www.wikidata.org/wiki/Q621974","display_name":"Automatic target recognition","level":3,"score":0.5058000087738037},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4717000126838684},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4702000021934509},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.43619999289512634},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.4219000041484833},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.41519999504089355},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3928000032901764},{"id":"https://openalex.org/C2988382989","wikidata":"https://www.wikidata.org/wiki/Q370685","display_name":"Data space","level":2,"score":0.38659998774528503},{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.3675000071525574},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.3596999943256378},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.3596000075340271},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3508000075817108},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.35019999742507935},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.3425000011920929},{"id":"https://openalex.org/C32283439","wikidata":"https://www.wikidata.org/wiki/Q1407014","display_name":"Radar tracker","level":3,"score":0.3165000081062317},{"id":"https://openalex.org/C190203512","wikidata":"https://www.wikidata.org/wiki/Q7572182","display_name":"Space-time adaptive processing","level":5,"score":0.3111000061035156},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.2847999930381775},{"id":"https://openalex.org/C101457746","wikidata":"https://www.wikidata.org/wiki/Q560430","display_name":"Radar cross-section","level":3,"score":0.2639000117778778},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2619999945163727}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2025.3620780","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2025.3620780","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4954122418","display_name":null,"funder_award_id":"61301211","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7552659329","display_name":null,"funder_award_id":"201906835017","funder_id":"https://openalex.org/F4320322725","funder_display_name":"China Scholarship Council"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W3129895333","https://openalex.org/W4210702177","https://openalex.org/W4225660138","https://openalex.org/W4285225465","https://openalex.org/W4285278796","https://openalex.org/W4309736359","https://openalex.org/W4315473856","https://openalex.org/W4390821151","https://openalex.org/W4391014490","https://openalex.org/W4392429109","https://openalex.org/W4394804940","https://openalex.org/W4397023963","https://openalex.org/W4399360905","https://openalex.org/W4412567204"],"related_works":[],"abstract_inverted_index":{"Space":[0],"radar":[1,12,45,59,159],"target":[2,13,60,160],"recognition":[3,43,61,149],"is":[4,16,89,131],"the":[5,25,28,32,39,78,92,112,142,155],"guarantee":[6],"of":[7,27,44,75],"national":[8],"security,":[9],"but":[10],"space":[11,58,158],"data":[14,68,76],"collection":[15],"difficult.":[17],"Most":[18],"existing":[19],"methods":[20],"do":[21],"not":[22],"focus":[23],"on":[24,64,154],"limitation":[26],"few-samples.":[29],"To":[30],"address":[31],"above":[33],"problem,":[34],"this":[35],"letter":[36],"starts":[37],"with":[38,84,91],"augmentation":[40,69],"and":[41,49,70,117,127,136,151],"fusion":[42,110,125],"cross":[46],"section":[47],"(RCS)":[48],"high-resolution":[50],"range":[51],"profile":[52],"(HRRP)":[53],"data,":[54,147],"proposing":[55],"a":[56,85,98,104,122],"few-samples":[57,157],"method":[62,144],"based":[63],"improved":[65],"dual-generation":[66,105],"network":[67,82],"feature":[71,86],"fusion.":[72],"In":[73],"terms":[74],"augmentation,":[77],"Wasserstein":[79],"generative":[80],"adversarial":[81],"(WGAN)":[83],"matching":[87],"module":[88],"combined":[90],"variational":[93],"auto-encoder":[94,129],"(VAE)":[95],"that":[96,141],"introduces":[97],"multi-head":[99],"attention":[100],"mechanism":[101],"to":[102,109],"construct":[103],"network.":[106],"With":[107],"respect":[108],"recognition,":[111],"features":[113],"extracted":[114],"from":[115],"RCS":[116],"HRRP":[118],"are":[119],"fused":[120],"through":[121],"weighted":[123],"multi-modal":[124],"strategy,":[126],"stacked":[128],"(SAE)":[130],"used":[132],"for":[133],"dimensionality":[134],"reduction":[135],"recognition.":[137],"Experimental":[138],"results":[139],"show":[140],"proposed":[143],"generates":[145],"high-quality":[146],"high":[148],"rate":[150],"good":[152],"robustness":[153],"constructed":[156],"data.":[161]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-15T00:00:00"}
