{"id":"https://openalex.org/W4392902001","doi":"https://doi.org/10.1109/tccn.2024.3378214","title":"Data Augmentation and Individual Identification Method for Emitters Using Contour Stella Image Mapping","display_name":"Data Augmentation and Individual Identification Method for Emitters Using Contour Stella Image Mapping","publication_year":2024,"publication_date":"2024-03-18","ids":{"openalex":"https://openalex.org/W4392902001","doi":"https://doi.org/10.1109/tccn.2024.3378214"},"language":"en","primary_location":{"id":"doi:10.1109/tccn.2024.3378214","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tccn.2024.3378214","pdf_url":null,"source":{"id":"https://openalex.org/S2484188435","display_name":"IEEE Transactions on Cognitive Communications and Networking","issn_l":"2332-7731","issn":["2332-7731","2372-2045"],"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 Cognitive Communications and Networking","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/A5070719868","display_name":"Guangjie Han","orcid":"https://orcid.org/0000-0002-6921-7369"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangjie Han","raw_affiliation_strings":["Department of Internet of Things Engineering, Hohai University, Changzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-6921-7369","affiliations":[{"raw_affiliation_string":"Department of Internet of Things Engineering, Hohai University, Changzhou, China","institution_ids":["https://openalex.org/I163340411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000935757","display_name":"Weitao Wang","orcid":"https://orcid.org/0009-0000-0836-1925"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weitao Wang","raw_affiliation_strings":["Department of Internet of Things Engineering, Hohai University, Changzhou, China"],"raw_orcid":"https://orcid.org/0009-0000-0836-1925","affiliations":[{"raw_affiliation_string":"Department of Internet of Things Engineering, Hohai University, Changzhou, China","institution_ids":["https://openalex.org/I163340411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008787577","display_name":"Zhengwei Xu","orcid":"https://orcid.org/0000-0002-2645-9915"},"institutions":[{"id":"https://openalex.org/I75955062","display_name":"Henan Normal University","ror":"https://ror.org/00s13br28","country_code":"CN","type":"education","lineage":["https://openalex.org/I75955062"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhengwei Xu","raw_affiliation_strings":["College of Computer and Information Engineering, Henan Normal University, Xinxiang, China"],"raw_orcid":"https://orcid.org/0000-0002-2645-9915","affiliations":[{"raw_affiliation_string":"College of Computer and Information Engineering, Henan Normal University, Xinxiang, China","institution_ids":["https://openalex.org/I75955062"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062945616","display_name":"Aohan Li","orcid":"https://orcid.org/0000-0002-2385-3263"},"institutions":[{"id":"https://openalex.org/I20529979","display_name":"University of Electro-Communications","ror":"https://ror.org/02x73b849","country_code":"JP","type":"education","lineage":["https://openalex.org/I20529979"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Aohan Li","raw_affiliation_strings":["Graduate School of Informatics and Engineering, Meta-Networking Research Center, The University of Electro-Communications, Tokyo, Japan","Graduate School of Informatics and Engineering, and the Meta-Networking Research Center, The University of Electro-Communications, Tokyo, Japan"],"raw_orcid":"https://orcid.org/0000-0002-2385-3263","affiliations":[{"raw_affiliation_string":"Graduate School of Informatics and Engineering, Meta-Networking Research Center, The University of Electro-Communications, Tokyo, Japan","institution_ids":["https://openalex.org/I20529979"]},{"raw_affiliation_string":"Graduate School of Informatics and Engineering, and the Meta-Networking Research Center, The University of Electro-Communications, Tokyo, Japan","institution_ids":["https://openalex.org/I20529979"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.7308,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.84041473,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"10","issue":"4","first_page":"1253","last_page":"1262"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9977999925613403,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9782000184059143,"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/stella","display_name":"STELLA (programming language)","score":0.844589114189148},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7725953459739685},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6228530406951904},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5861270427703857},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.585511326789856},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.49970269203186035},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.45076972246170044},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.44139623641967773},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41167065501213074}],"concepts":[{"id":"https://openalex.org/C2776174103","wikidata":"https://www.wikidata.org/wiki/Q25339766","display_name":"STELLA (programming language)","level":2,"score":0.844589114189148},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7725953459739685},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6228530406951904},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5861270427703857},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.585511326789856},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.49970269203186035},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.45076972246170044},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.44139623641967773},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41167065501213074},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tccn.2024.3378214","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tccn.2024.3378214","pdf_url":null,"source":{"id":"https://openalex.org/S2484188435","display_name":"IEEE Transactions on Cognitive Communications and Networking","issn_l":"2332-7731","issn":["2332-7731","2372-2045"],"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 Cognitive Communications and Networking","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W1554312721","https://openalex.org/W1972973610","https://openalex.org/W2775657662","https://openalex.org/W2790461669","https://openalex.org/W2908498346","https://openalex.org/W2938144699","https://openalex.org/W2959499969","https://openalex.org/W2963073614","https://openalex.org/W2963190722","https://openalex.org/W2963290405","https://openalex.org/W2975208138","https://openalex.org/W2981876784","https://openalex.org/W2984025449","https://openalex.org/W2998578058","https://openalex.org/W3003356071","https://openalex.org/W3006541201","https://openalex.org/W3009816315","https://openalex.org/W3015020421","https://openalex.org/W3017079671","https://openalex.org/W3036818015","https://openalex.org/W3088383832","https://openalex.org/W3089122921","https://openalex.org/W3089739838","https://openalex.org/W3094147817","https://openalex.org/W3110641849","https://openalex.org/W3117892633","https://openalex.org/W3158377300","https://openalex.org/W3170485195","https://openalex.org/W3194345699","https://openalex.org/W3194740358","https://openalex.org/W3205971195","https://openalex.org/W3215230729","https://openalex.org/W4205273399","https://openalex.org/W4214922564","https://openalex.org/W4289821916","https://openalex.org/W4295832353","https://openalex.org/W4317418671","https://openalex.org/W4317418850","https://openalex.org/W4317419411","https://openalex.org/W4319069155","https://openalex.org/W4320002904","https://openalex.org/W4321636773","https://openalex.org/W4327522867","https://openalex.org/W4367058691","https://openalex.org/W4385062350","https://openalex.org/W6738884980"],"related_works":["https://openalex.org/W196888113","https://openalex.org/W3212160542","https://openalex.org/W4238502331","https://openalex.org/W2984029695","https://openalex.org/W4241621507","https://openalex.org/W2798244240","https://openalex.org/W2464396084","https://openalex.org/W4391449271","https://openalex.org/W153512996","https://openalex.org/W2966736808"],"abstract_inverted_index":{"In":[0],"wireless":[1,71],"communication":[2,72],"networks":[3],"(WCN),":[4],"numerous":[5],"devices":[6],"are":[7,54],"interconnected":[8],"with":[9,126,203],"one":[10],"another,":[11],"which":[12,36,64,209],"poses":[13],"challenges":[14],"to":[15,82,143,154,171],"the":[16,32,50,84,110,134,155,160,163,179,187],"security":[17,33],"of":[18,34,61,102,162,186],"WCN.":[19],"Specific":[20],"emitter":[21],"identification":[22],"(SEI)":[23],"technology":[24],"is":[25,78],"considered":[26],"a":[27,38,58,94,122],"crucial":[28],"technique":[29],"for":[30,115,130],"ensuring":[31],"WCN,":[35],"plays":[37],"paramount":[39],"role":[40],"in":[41,66,68,150],"resisting":[42],"network":[43,125],"attacks":[44],"and":[45,80,119,174,181],"enhancing":[46],"system":[47],"security.":[48],"However,":[49],"current":[51],"SEI":[52,96,215],"methods":[53],"heavily":[55],"reliant":[56],"on":[57,99,177,195],"considerable":[59],"amount":[60],"labeled":[62],"data,":[63],"results":[65],"difficulties":[67],"real":[69],"world":[70],"situations":[73],"where":[74],"obtaining":[75],"such":[76],"data":[77,100,116,131],"arduous":[79],"impracticable":[81],"fulfill":[83],"application":[85],"demands.":[86],"To":[87],"address":[88],"this":[89,91],"problem,":[90],"study":[92],"proposed":[93,188],"few-shot":[95,214],"method":[97,189],"based":[98],"augmentation":[101],"contour":[103,111],"stella":[104,112],"image":[105,113],"(CSI-DA).":[106],"First,":[107],"it":[108],"utilizes":[109],"(CSI)":[114],"feature":[117,151],"visualization,":[118],"then":[120],"employs":[121],"generative":[123],"adversarial":[124],"patch":[127],"discriminator":[128],"(PGAN)":[129],"augmentation.":[132],"Subsequently,":[133],"generated":[135,164,182],"images":[136],"were":[137],"filtered":[138],"using":[139],"structural":[140],"similarity":[141],"calculations":[142],"eliminate":[144],"samples":[145,206],"that":[146],"exhibited":[147],"significant":[148],"differences":[149],"distribution":[152],"compared":[153],"original":[156,180],"image,":[157],"thereby":[158],"improving":[159],"quality":[161],"data.":[165],"Finally,":[166],"classic":[167],"ResNet":[168],"was":[169,190,210],"employed":[170],"extract":[172],"features":[173],"perform":[175],"classification":[176,201],"both":[178],"images.":[183],"The":[184],"superiority":[185],"verified":[191],"by":[192],"experiments":[193],"conducted":[194],"real-world":[196],"datasets,":[197],"achieving":[198],"an":[199],"85%":[200],"accuracy":[202],"only":[204],"five":[205],"per":[207],"emitter,":[208],"higher":[211],"than":[212],"existing":[213],"methods.":[216]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}