{"id":"https://openalex.org/W4388527347","doi":"https://doi.org/10.3390/rs15225301","title":"Few-Shot High-Resolution Range Profile Ship Target Recognition Based on Task-Specific Meta-Learning with Mixed Training and Meta Embedding","display_name":"Few-Shot High-Resolution Range Profile Ship Target Recognition Based on Task-Specific Meta-Learning with Mixed Training and Meta Embedding","publication_year":2023,"publication_date":"2023-11-09","ids":{"openalex":"https://openalex.org/W4388527347","doi":"https://doi.org/10.3390/rs15225301"},"language":"en","primary_location":{"id":"doi:10.3390/rs15225301","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15225301","pdf_url":"https://www.mdpi.com/2072-4292/15/22/5301/pdf?version=1699534479","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/15/22/5301/pdf?version=1699534479","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5027177558","display_name":"Yingying Kong","orcid":"https://orcid.org/0000-0001-8927-7601"},"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":true,"raw_author_name":"Yingying Kong","raw_affiliation_strings":["College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China"],"affiliations":[{"raw_affiliation_string":"College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014623164","display_name":"Y.Z. Zhang","orcid":"https://orcid.org/0009-0001-8202-7252"},"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":"Yuxuan Zhang","raw_affiliation_strings":["College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China"],"affiliations":[{"raw_affiliation_string":"College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019872967","display_name":"Xiangyang Peng","orcid":"https://orcid.org/0000-0001-8561-0382"},"institutions":[{"id":"https://openalex.org/I4210110458","display_name":"Institute of Electronics","ror":"https://ror.org/01z143507","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210110458"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangyang Peng","raw_affiliation_strings":["Nanjing Research Institute of Electronics Engineering, Nanjing 210007, China"],"affiliations":[{"raw_affiliation_string":"Nanjing Research Institute of Electronics Engineering, Nanjing 210007, China","institution_ids":["https://openalex.org/I4210110458"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061884304","display_name":"Henry Leung","orcid":"https://orcid.org/0000-0002-5984-107X"},"institutions":[{"id":"https://openalex.org/I168635309","display_name":"University of Calgary","ror":"https://ror.org/03yjb2x39","country_code":"CA","type":"education","lineage":["https://openalex.org/I168635309"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Henry Leung","raw_affiliation_strings":["Department of Electronic and Computer Engineering, University of Calgary, Calgary, AB T2P 2M5, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Electronic and Computer Engineering, University of Calgary, Calgary, AB T2P 2M5, Canada","institution_ids":["https://openalex.org/I168635309"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5027177558"],"corresponding_institution_ids":["https://openalex.org/I9842412"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":3.2673,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.93336391,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"15","issue":"22","first_page":"5301","last_page":"5301"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9979000091552734,"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":0.9979000091552734,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9835000038146973,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9713000059127808,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/overfitting","display_name":"Overfitting","score":0.7855864763259888},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7147345542907715},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.663283109664917},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.569446325302124},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5310946702957153},{"id":"https://openalex.org/keywords/adaptability","display_name":"Adaptability","score":0.48442986607551575},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47631534934043884},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.4751705527305603},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4485911726951599},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.44484877586364746},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.4317067861557007},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.24965518712997437},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08088669180870056}],"concepts":[{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.7855864763259888},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7147345542907715},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.663283109664917},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.569446325302124},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5310946702957153},{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.48442986607551575},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47631534934043884},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.4751705527305603},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4485911726951599},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.44484877586364746},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.4317067861557007},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.24965518712997437},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08088669180870056},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/rs15225301","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15225301","pdf_url":"https://www.mdpi.com/2072-4292/15/22/5301/pdf?version=1699534479","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:66316d7a86064529a575ffc53ffaf45e","is_oa":true,"landing_page_url":"https://doaj.org/article/66316d7a86064529a575ffc53ffaf45e","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":"Remote Sensing, Vol 15, Iss 22, p 5301 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/rs15225301","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15225301","pdf_url":"https://www.mdpi.com/2072-4292/15/22/5301/pdf?version=1699534479","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1085537218","display_name":null,"funder_award_id":"BK20140825","funder_id":"https://openalex.org/F4320329860","funder_display_name":"National Science and Technology Major Project"},{"id":"https://openalex.org/G1121271761","display_name":null,"funder_award_id":"Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1215359039","display_name":null,"funder_award_id":"62171220","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1656289809","display_name":null,"funder_award_id":"20182052012","funder_id":"https://openalex.org/F4320329860","funder_display_name":"National Science and Technology Major Project"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2741221491","display_name":null,"funder_award_id":"BK2014082","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"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/G5881942141","display_name":null,"funder_award_id":"202103","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/G6839136569","display_name":null,"funder_award_id":"2018205","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G719793653","display_name":null,"funder_award_id":"-0017","funder_id":"https://openalex.org/F4320329860","funder_display_name":"National Science and Technology Major Project"},{"id":"https://openalex.org/G7424657553","display_name":null,"funder_award_id":"62171220","funder_id":"https://openalex.org/F4320329860","funder_display_name":"National Science and Technology Major Project"},{"id":"https://openalex.org/G8029907974","display_name":null,"funder_award_id":"201408","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8391570971","display_name":null,"funder_award_id":"2017-II-0001-0017","funder_id":"https://openalex.org/F4320329860","funder_display_name":"National Science and Technology Major Project"},{"id":"https://openalex.org/G8931378640","display_name":null,"funder_award_id":"NS2021030","funder_id":"https://openalex.org/F4320329860","funder_display_name":"National Science and Technology Major Project"},{"id":"https://openalex.org/G8955107213","display_name":null,"funder_award_id":"Major","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"},{"id":"https://openalex.org/F4320329860","display_name":"National Science and Technology Major Project","ror":null}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4388527347.pdf"},"referenced_works_count":35,"referenced_works":["https://openalex.org/W1991442869","https://openalex.org/W2000583778","https://openalex.org/W2015563892","https://openalex.org/W2040775178","https://openalex.org/W2108695268","https://openalex.org/W2150674271","https://openalex.org/W2604763608","https://openalex.org/W2607666785","https://openalex.org/W2735751793","https://openalex.org/W2891657227","https://openalex.org/W2899817933","https://openalex.org/W2963078860","https://openalex.org/W2963845150","https://openalex.org/W2963943197","https://openalex.org/W2964105864","https://openalex.org/W2982255064","https://openalex.org/W3034312118","https://openalex.org/W3034527225","https://openalex.org/W3035911592","https://openalex.org/W3129895333","https://openalex.org/W3130848852","https://openalex.org/W3188093248","https://openalex.org/W3200163111","https://openalex.org/W4200257731","https://openalex.org/W4285065070","https://openalex.org/W4295855898","https://openalex.org/W4313019727","https://openalex.org/W4313165841","https://openalex.org/W4315473856","https://openalex.org/W4315629988","https://openalex.org/W4385574882","https://openalex.org/W6674311103","https://openalex.org/W6743661861","https://openalex.org/W6839479128","https://openalex.org/W6849013586"],"related_works":["https://openalex.org/W4362597605","https://openalex.org/W1574414179","https://openalex.org/W4297676672","https://openalex.org/W3009056573","https://openalex.org/W2922073769","https://openalex.org/W4281702477","https://openalex.org/W2490526372","https://openalex.org/W4376166922","https://openalex.org/W3134175397","https://openalex.org/W4390929683"],"abstract_inverted_index":{"High-resolution":[0],"range":[1],"profile":[2],"(HRRP),":[3],"characterized":[4],"by":[5,171,225],"its":[6],"high":[7,77],"availability":[8],"and":[9,52,117,180,202,247],"rich":[10],"target":[11,20],"structural":[12,66],"information,":[13],"has":[14,236],"been":[15],"extensively":[16],"studied.":[17],"However,":[18],"HRRP-based":[19],"recognition":[21,135],"methods":[22],"using":[23],"closed":[24],"datasets":[25],"exhibit":[26],"limitations":[27],"when":[28,257],"it":[29],"comes":[30],"to":[31,45,75,111,132,241,259],"identifying":[32],"new":[33,42,122,137],"classes":[34,43,123,138,218,229],"of":[35,39,59,70,79,115,124,136,139,223,230,239,244],"targets.":[36,82],"The":[37,190],"scarcity":[38],"samples":[40,69,168,176,185,246],"for":[41,93,120,161],"leads":[44],"overfitting":[46,116],"during":[47],"the":[48,53,56,64,71,113,134,154,165,173,182,187,203,208,215,227,234,242],"deep":[49],"learning":[50,108,226],"process,":[51],"similarity":[54],"in":[55,169],"scattering":[57],"structures":[58],"different":[60,178],"ships,":[61],"combined":[62],"with":[63,109,141,219],"significant":[65],"differences":[67],"among":[68,81],"same":[72,188],"ship,":[73],"contribute":[74],"a":[76,97,127,145,220,237,248],"level":[78],"confusion":[80],"To":[83],"address":[84],"these":[85],"challenges,":[86],"this":[87],"paper":[88],"proposed":[89,151,191,209],"Task-Specific":[90],"Mate-learning":[91],"(TSML)":[92],"few-shot":[94],"HRRP.":[95],"Firstly,":[96],"Task-Adaptive":[98],"Mixed":[99],"Transfer":[100],"(TAMT)":[101],"strategy":[102],"is":[103,130,150,193],"proposed,":[104],"which":[105,252],"combines":[106],"basic":[107],"meta-learning,":[110],"reduce":[112],"likelihood":[114],"enhance":[118],"adaptability":[119],"recognizing":[121],"ships.":[125,231],"Secondly,":[126],"Prototype":[128,155],"Network":[129],"introduced":[131],"enable":[133],"targets":[140],"limited":[142],"samples.":[143],"Additionally,":[144],"Space-Adjusted":[146],"Meta":[147],"Embedding":[148],"(SAME)":[149],"based":[152,195],"on":[153,196],"Network.":[156],"This":[157],"embedding":[158],"function,":[159],"designed":[160],"HRRP":[162,200],"data,":[163],"modifies":[164],"distances":[166,174,183],"between":[167,175,184],"meta-tasks":[170],"increasing":[172],"from":[177,186],"ships":[179],"decreasing":[181],"ship.":[189],"method":[192,210,235],"evaluated":[194],"an":[197],"actual":[198],"measured":[199],"dataset":[201],"experimental":[204],"results":[205,256],"prove":[206],"that":[207],"can":[211,253],"more":[212],"accurately":[213],"recognize":[214],"unknown":[216],"ship":[217],"small":[221],"number":[222,243],"labels":[224],"known":[228],"In":[232],"addition,":[233],"degree":[238],"robustness":[240],"training":[245],"certain":[249],"generalization":[250],"ability,":[251],"produce":[254],"improved":[255],"applied":[258],"other":[260],"backbones.":[261]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1}],"updated_date":"2026-04-19T08:26:33.389920","created_date":"2025-10-10T00:00:00"}