{"id":"https://openalex.org/W4385299205","doi":"https://doi.org/10.1145/3603781.3603939","title":"Inverse Synthetic Aperture Radar Space Target Recognition Algorithm Based on Few-Shot Class-Incremental Learning","display_name":"Inverse Synthetic Aperture Radar Space Target Recognition Algorithm Based on Few-Shot Class-Incremental Learning","publication_year":2023,"publication_date":"2023-05-26","ids":{"openalex":"https://openalex.org/W4385299205","doi":"https://doi.org/10.1145/3603781.3603939"},"language":"en","primary_location":{"id":"doi:10.1145/3603781.3603939","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1145/3603781.3603939","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 4th International Conference on Computing, Networks and Internet of Things","raw_type":"proceedings-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/A5102014574","display_name":"Chenxuan Li","orcid":"https://orcid.org/0000-0001-5421-9225"},"institutions":[{"id":"https://openalex.org/I4210148107","display_name":"Space Engineering University","ror":"https://ror.org/04rj1td02","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210148107"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chenxuan Li","raw_affiliation_strings":["Department of Electronic and Optical Engineering, Space Engineering University, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic and Optical Engineering, Space Engineering University, China","institution_ids":["https://openalex.org/I4210148107"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101931355","display_name":"Weigang Zhu","orcid":"https://orcid.org/0000-0002-4326-6779"},"institutions":[{"id":"https://openalex.org/I4210148107","display_name":"Space Engineering University","ror":"https://ror.org/04rj1td02","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210148107"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weigang Zhu","raw_affiliation_strings":["Space Engineering University, China"],"affiliations":[{"raw_affiliation_string":"Space Engineering University, China","institution_ids":["https://openalex.org/I4210148107"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103150857","display_name":"Hengde Qiu","orcid":"https://orcid.org/0009-0009-5823-9691"},"institutions":[{"id":"https://openalex.org/I4210148107","display_name":"Space Engineering University","ror":"https://ror.org/04rj1td02","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210148107"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hengde Qiu","raw_affiliation_strings":["Space Engineering University, China"],"affiliations":[{"raw_affiliation_string":"Space Engineering University, China","institution_ids":["https://openalex.org/I4210148107"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5102014574"],"corresponding_institution_ids":["https://openalex.org/I4210148107"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.03997629,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"906","last_page":"912"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9983000159263611,"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":0.9983000159263611,"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":0.9842000007629395,"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"}},{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9176999926567078,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/automatic-target-recognition","display_name":"Automatic target recognition","score":0.8127185702323914},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7462296485900879},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.6837282776832581},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6741644144058228},{"id":"https://openalex.org/keywords/inverse-synthetic-aperture-radar","display_name":"Inverse synthetic aperture radar","score":0.6476778984069824},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6437204480171204},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5256784558296204},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.48628056049346924},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4589700400829315},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.41175174713134766},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.357494592666626},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3384891450405121},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.32442036271095276}],"concepts":[{"id":"https://openalex.org/C117623542","wikidata":"https://www.wikidata.org/wiki/Q621974","display_name":"Automatic target recognition","level":3,"score":0.8127185702323914},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7462296485900879},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.6837282776832581},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6741644144058228},{"id":"https://openalex.org/C109094680","wikidata":"https://www.wikidata.org/wiki/Q6060432","display_name":"Inverse synthetic aperture radar","level":4,"score":0.6476778984069824},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6437204480171204},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5256784558296204},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.48628056049346924},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4589700400829315},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.41175174713134766},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.357494592666626},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3384891450405121},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.32442036271095276},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3603781.3603939","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1145/3603781.3603939","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 4th International Conference on Computing, Networks and Internet of Things","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.6899999976158142}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2890848540","https://openalex.org/W3013058986","https://openalex.org/W3035342403","https://openalex.org/W3158597650","https://openalex.org/W3172509117","https://openalex.org/W3177494822","https://openalex.org/W3217775520","https://openalex.org/W4205385989","https://openalex.org/W4226134030","https://openalex.org/W4296704881","https://openalex.org/W4312327301"],"related_works":["https://openalex.org/W2540450177","https://openalex.org/W2170580735","https://openalex.org/W3041793138","https://openalex.org/W1552305638","https://openalex.org/W3013723914","https://openalex.org/W2112228652","https://openalex.org/W1994788526","https://openalex.org/W157990886","https://openalex.org/W2011609146","https://openalex.org/W1915418828"],"abstract_inverted_index":{"Identifying":[0],"the":[1,33,57,63,82,89,120,183],"space":[2,17,24,49,187],"targets":[3,25],"rapidly":[4],"and":[5,15,80,104,158,162],"accurately":[6],"is":[7,108,176],"a":[8,29,47,141],"significant":[9],"mission":[10],"in":[11,70,173,182],"defending":[12],"national":[13],"rights":[14],"maintaining":[16],"security.":[18],"The":[19,166],"continuous":[20],"emergence":[21],"of":[22,32,35,122,152,185],"new":[23,58,161],"has":[26],"led":[27],"to":[28,61,76,100,110,136,178],"dramatic":[30],"decrease":[31],"performance":[34],"Inverse":[36],"Synthetic":[37],"Aperture":[38],"Radar":[39],"(ISAR)":[40],"automatic":[41],"target":[42,50,65,188],"recognition.":[43,94,189],"This":[44],"paper":[45,72,126,154,175],"proposes":[46,127],"few-shot":[48],"recognition":[51,66,112],"method,":[52],"which":[53,87,107],"can":[54,155],"adaptively":[55],"excavate":[56],"class":[59,79,93],"features":[60,103,139],"improve":[62],"ISAR":[64],"performance.":[67],"Algorithm":[68,95],"proposed":[69,172],"this":[71,125,153,174],"facilitates":[73],"existing":[74],"data":[75],"predict":[77],"unseen":[78,92],"constructs":[81],"corresponding":[83],"feature":[84,116],"embedding":[85],"space,":[86],"build":[88],"basis":[90],"for":[91],"using":[96],"memorizing":[97],"complementary":[98],"networks":[99],"extract":[101,137],"global-focus":[102],"local-focus":[105],"features,":[106],"conductive":[109],"increasing":[111],"accuracy":[113],"while":[114],"enhancing":[115],"richness.":[117],"To":[118],"address":[119],"problem":[121],"catastrophic":[123],"forgetting,":[124],"an":[128],"instance":[129],"mining":[130],"method":[131],"based":[132],"on":[133],"inductive":[134],"probability":[135],"hard-discriminative":[138],"at":[140],"deep":[142],"level.":[143],"Combing":[144],"with":[145],"these":[146],"improving":[147],"components":[148],"mentioned":[149],"above,":[150],"algorithm":[151,171],"achieve":[156],"compatibility":[157],"balance":[159],"between":[160],"old":[163],"categories":[164],"effectively.":[165],"experimental":[167],"results":[168],"demonstrate":[169],"that":[170],"superior":[177],"other":[179],"advanced":[180],"methods":[181],"task":[184],"incremental":[186]},"counts_by_year":[],"updated_date":"2025-12-23T23:11:35.936235","created_date":"2025-10-10T00:00:00"}
