{"id":"https://openalex.org/W4390780017","doi":"https://doi.org/10.1109/tgrs.2024.3351636","title":"SAR Target Incremental Recognition Based on Features With Strong Separability","display_name":"SAR Target Incremental Recognition Based on Features With Strong Separability","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4390780017","doi":"https://doi.org/10.1109/tgrs.2024.3351636"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2024.3351636","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3351636","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Geoscience and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://napier-repository.worktribe.com/file/3499993/1/SAR%20Target%20Incremental%20Recognition%20Based%20on%20Features%20With%20Strong%20Separability%20%28accepted%20version%29","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","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":true,"raw_author_name":"Fei Gao","raw_affiliation_strings":["School of Electronic and Information Engineering, Beihang University, Beijing, China","Beihang Hangzhou Innovation Institute Yuhang, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"Beihang Hangzhou Innovation Institute Yuhang, Hangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103005783","display_name":"Lingzhe Kong","orcid":"https://orcid.org/0009-0000-6907-417X"},"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":"Lingzhe Kong","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/A5111481539","display_name":"Rongling Lang","orcid":null},"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":"Rongling Lang","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/A5100384582","display_name":"Jun Wang","orcid":"https://orcid.org/0000-0001-5186-0148"},"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":"Jun Wang","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":["Centre of AI and Robotics, Edinburgh Napier University, Edinburgh, U.K"],"affiliations":[{"raw_affiliation_string":"Centre of AI and Robotics, Edinburgh Napier University, 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":7,"corresponding_author_ids":["https://openalex.org/A5085382296"],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":null,"apc_paid":null,"fwci":16.171,"has_fulltext":true,"cited_by_count":48,"citation_normalized_percentile":{"value":0.99285795,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"62","issue":null,"first_page":"1","last_page":"13"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9980000257492065,"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"}},"topics":[{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9980000257492065,"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/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.996999979019165,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9718999862670898,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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":0.7633750438690186},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7507944107055664},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6182131171226501},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.6013752222061157},{"id":"https://openalex.org/keywords/automatic-target-recognition","display_name":"Automatic target recognition","score":0.5544407963752747},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5409326553344727},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5224812626838684},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.49994945526123047},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.48191526532173157},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4802694320678711},{"id":"https://openalex.org/keywords/target-acquisition","display_name":"Target acquisition","score":0.4353024661540985},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4298442006111145},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4253763258457184}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7633750438690186},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7507944107055664},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6182131171226501},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.6013752222061157},{"id":"https://openalex.org/C117623542","wikidata":"https://www.wikidata.org/wiki/Q621974","display_name":"Automatic target recognition","level":3,"score":0.5544407963752747},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5409326553344727},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5224812626838684},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.49994945526123047},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.48191526532173157},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4802694320678711},{"id":"https://openalex.org/C2779726219","wikidata":"https://www.wikidata.org/wiki/Q7685884","display_name":"Target acquisition","level":2,"score":0.4353024661540985},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4298442006111145},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4253763258457184}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tgrs.2024.3351636","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3351636","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Geoscience and Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:repository@napier.ac.uk:3499993","is_oa":true,"landing_page_url":"http://researchrepository.napier.ac.uk/Output/3499993","pdf_url":"https://napier-repository.worktribe.com/file/3499993/1/SAR%20Target%20Incremental%20Recognition%20Based%20on%20Features%20With%20Strong%20Separability%20%28accepted%20version%29","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"},{"id":"pmh:oai:figshare.com:article/24953439","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/SAR_Target_Incremental_Recognition_based_on_Features_with_Strong_Separability/24953439","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","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:repository@napier.ac.uk:3499993","is_oa":true,"landing_page_url":"http://researchrepository.napier.ac.uk/Output/3499993","pdf_url":"https://napier-repository.worktribe.com/file/3499993/1/SAR%20Target%20Incremental%20Recognition%20Based%20on%20Features%20With%20Strong%20Separability%20%28accepted%20version%29","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"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.5,"display_name":"Peace, Justice and strong institutions"}],"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/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/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/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/G2239472154","display_name":null,"funder_award_id":"62371022","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2447866707","display_name":null,"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/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/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/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/G6741951271","display_name":null,"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/G8452545418","display_name":null,"funder_award_id":"unknown","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"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/W4390780017.pdf","grobid_xml":"https://content.openalex.org/works/W4390780017.grobid-xml"},"referenced_works_count":42,"referenced_works":["https://openalex.org/W2010853190","https://openalex.org/W2037627487","https://openalex.org/W2161739581","https://openalex.org/W2187089797","https://openalex.org/W2194775991","https://openalex.org/W2473930607","https://openalex.org/W2474280151","https://openalex.org/W2884282566","https://openalex.org/W2922891743","https://openalex.org/W2934418269","https://openalex.org/W2948734064","https://openalex.org/W2954929116","https://openalex.org/W2964189064","https://openalex.org/W2972567486","https://openalex.org/W2981864462","https://openalex.org/W2982220706","https://openalex.org/W3004711070","https://openalex.org/W3030364939","https://openalex.org/W3034856281","https://openalex.org/W3107810305","https://openalex.org/W3125116114","https://openalex.org/W3134652644","https://openalex.org/W3144281354","https://openalex.org/W3163939464","https://openalex.org/W3168997536","https://openalex.org/W3174852108","https://openalex.org/W3178686235","https://openalex.org/W3180392831","https://openalex.org/W3207084381","https://openalex.org/W4205385989","https://openalex.org/W4210328379","https://openalex.org/W4296704881","https://openalex.org/W4312309344","https://openalex.org/W4312669952","https://openalex.org/W4312771814","https://openalex.org/W4312826019","https://openalex.org/W4313028293","https://openalex.org/W4362500735","https://openalex.org/W4366957596","https://openalex.org/W6720926796","https://openalex.org/W6738602802","https://openalex.org/W6766978945"],"related_works":["https://openalex.org/W3137365474","https://openalex.org/W2784759481","https://openalex.org/W3038591045","https://openalex.org/W3130755980","https://openalex.org/W2053024573","https://openalex.org/W2106749053","https://openalex.org/W2773828237","https://openalex.org/W4380446815","https://openalex.org/W2945014618","https://openalex.org/W2045526238"],"abstract_inverted_index":{"With":[0],"the":[1,81,98,106,115,129,137,144,149,152,170,186,190,202,205],"rapid":[2],"development":[3],"of":[4,50,84,109,117,204],"deep":[5],"learning":[6,71,118,198],"technology,":[7],"many":[8],"synthetic":[9],"aperture":[10],"radar":[11],"(SAR)":[12],"target":[13,179],"recognition":[14,181],"algorithms":[15,199],"based":[16,73,162],"on":[17,25,35,63,74,163,185],"convolutional":[18],"neural":[19,30],"networks":[20,31],"have":[21],"achieved":[22],"exceptional":[23],"performance":[24,62],"various":[26],"datasets.":[27],"However,":[28],"conventional":[29,130],"are":[32,183,192],"repeatedly":[33],"iterated":[34],"a":[36,47,58,157],"fixed":[37],"dataset":[38],"until":[39],"convergence,":[40],"and":[41,93,174,189],"once":[42],"they":[43],"learn":[44],"new":[45,119],"tasks,":[46],"large":[48],"amount":[49],"previously":[51,85],"learned":[52,86],"knowledge":[53,131],"is":[54,125,166],"forgotten,":[55],"leading":[56],"to":[57,79,96,104,127,141,168,200],"significant":[59],"decline":[60],"in":[61,102],"old":[64,138,153],"tasks.":[65],"This":[66,133],"article":[67],"presents":[68],"an":[69,121],"incremental":[70,112,180,197],"method":[72,161],"strong":[75],"separability":[76,100,108,150],"features":[77,110,140,165],"(SSF-IL)":[78],"address":[80],"model\u2019s":[82],"forgetting":[83],"knowledge.":[87],"The":[88],"SSF-IL":[89],"employs":[90],"both":[91],"intraclass":[92,122],"interclass":[94],"scatter":[95],"compute":[97],"feature":[99],"loss,":[101],"order":[103],"enhance":[105],"linear":[107],"during":[111],"learning.":[113],"In":[114],"process":[116],"classes,":[120],"clustering":[123],"loss":[124,134],"proposed":[126,206],"replace":[128],"distillation.":[132],"function":[135],"constrains":[136],"class":[139,146,154],"cluster":[142],"around":[143],"saved":[145],"centers,":[147],"maintaining":[148],"among":[151],"features.":[155],"Finally,":[156],"classifier":[158],"bias":[159],"correction":[160],"boundary":[164,173],"designed":[167],"reinforce":[169],"classifier\u2019s":[171],"decision":[172],"reduce":[175],"classification":[176],"errors.":[177],"SAR":[178],"experiments":[182],"conducted":[184],"MSTAR":[187],"dataset,":[188],"results":[191],"compared":[193],"with":[194],"several":[195],"existing":[196],"demonstrate":[201],"effectiveness":[203],"algorithm.":[207]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":20},{"year":2024,"cited_by_count":27}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}