{"id":"https://openalex.org/W4312826019","doi":"https://doi.org/10.1109/igarss46834.2022.9884149","title":"Fine-Grained Continual Learning for SAR Target Recognition","display_name":"Fine-Grained Continual Learning for SAR Target Recognition","publication_year":2022,"publication_date":"2022-07-17","ids":{"openalex":"https://openalex.org/W4312826019","doi":"https://doi.org/10.1109/igarss46834.2022.9884149"},"language":"en","primary_location":{"id":"doi:10.1109/igarss46834.2022.9884149","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss46834.2022.9884149","pdf_url":null,"source":{"id":"https://openalex.org/S4363604196","display_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","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/A5101676159","display_name":"Zhi Zheng","orcid":"https://orcid.org/0009-0004-8746-0591"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhi Zheng","raw_affiliation_strings":["School of mechanical engineering, University of Science and Technology Beijing,Beijing,China,100083","Institute of Automation, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of mechanical engineering, University of Science and Technology Beijing,Beijing,China,100083","institution_ids":["https://openalex.org/I92403157"]},{"raw_affiliation_string":"Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049695170","display_name":"Xiangli Nie","orcid":"https://orcid.org/0000-0001-5208-4670"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangli Nie","raw_affiliation_strings":["Institute of Automation, Chinese Academy of Sciences,Beijing,China,100190"],"affiliations":[{"raw_affiliation_string":"Institute of Automation, Chinese Academy of Sciences,Beijing,China,100190","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100335246","display_name":"Bo Zhang","orcid":"https://orcid.org/0000-0002-1210-8735"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Zhang","raw_affiliation_strings":["Institute of Applied Mathematics, AMSS, Chinese Academy of Sciences,Beijing,China,100190"],"affiliations":[{"raw_affiliation_string":"Institute of Applied Mathematics, AMSS, Chinese Academy of Sciences,Beijing,China,100190","institution_ids":["https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101676159"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210094879","https://openalex.org/I92403157"],"apc_list":null,"apc_paid":null,"fwci":0.7276,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.72053437,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"2207","last_page":"2210"},"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":0.9968000054359436,"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":0.9968000054359436,"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":0.9921000003814697,"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/T12676","display_name":"Machine Learning and ELM","score":0.9769999980926514,"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/computer-science","display_name":"Computer science","score":0.8033146858215332},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.7958580255508423},{"id":"https://openalex.org/keywords/forgetting","display_name":"Forgetting","score":0.7862281203269958},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6784186959266663},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.6344468593597412},{"id":"https://openalex.org/keywords/incremental-learning","display_name":"Incremental learning","score":0.5323100090026855},{"id":"https://openalex.org/keywords/automatic-target-recognition","display_name":"Automatic target recognition","score":0.5067601799964905},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.47647592425346375},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.46453362703323364},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39707255363464355}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8033146858215332},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.7958580255508423},{"id":"https://openalex.org/C7149132","wikidata":"https://www.wikidata.org/wiki/Q1377840","display_name":"Forgetting","level":2,"score":0.7862281203269958},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6784186959266663},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.6344468593597412},{"id":"https://openalex.org/C2780735816","wikidata":"https://www.wikidata.org/wiki/Q28324931","display_name":"Incremental learning","level":2,"score":0.5323100090026855},{"id":"https://openalex.org/C117623542","wikidata":"https://www.wikidata.org/wiki/Q621974","display_name":"Automatic target recognition","level":3,"score":0.5067601799964905},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.47647592425346375},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.46453362703323364},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39707255363464355},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss46834.2022.9884149","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss46834.2022.9884149","pdf_url":null,"source":{"id":"https://openalex.org/S4363604196","display_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.550000011920929,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"},{"score":0.4300000071525574,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G3680089270","display_name":null,"funder_award_id":"62076241,91948303,61933001","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W2410591237","https://openalex.org/W2563826945","https://openalex.org/W2762294195","https://openalex.org/W2936614765","https://openalex.org/W2954929116","https://openalex.org/W2963691377","https://openalex.org/W2964189064","https://openalex.org/W3030364939","https://openalex.org/W3093826635","https://openalex.org/W6761549388"],"related_works":["https://openalex.org/W3137365474","https://openalex.org/W2886347302","https://openalex.org/W2784759481","https://openalex.org/W1545594509","https://openalex.org/W3038591045","https://openalex.org/W3130755980","https://openalex.org/W1988723959","https://openalex.org/W2053024573","https://openalex.org/W4387802373","https://openalex.org/W2773828237"],"abstract_inverted_index":{"Synthetic":[0],"Aperture":[1],"Radar":[2],"(SAR)":[3],"systems":[4],"work":[5],"in":[6,84],"the":[7,31,40,56,85,107,113,124,127],"open":[8],"and":[9,12,80],"dynamic":[10],"environment,":[11],"capture":[13],"new":[14,17,35,81],"data":[15,76],"or":[16],"targets":[18,36,46],"continually":[19],"over":[20],"time.":[21],"It":[22],"requires":[23],"that":[24],"SAR":[25,45,71,121],"target":[26,73],"recognition":[27,57],"algorithms":[28],"should":[29],"have":[30,51],"capability":[32],"to":[33,94,105,111],"learn":[34],"incrementally":[37],"without":[38],"forgetting":[39,86],"previously":[41],"learned":[42],"targets.":[43],"Besides,":[44],"of":[47,87,115,126],"different":[48],"classes":[49,82],"usually":[50],"subtle":[52],"differences":[53],"which":[54],"makes":[55],"more":[58],"challenging.":[59],"In":[60,98],"this":[61,96],"paper,":[62],"we":[63],"propose":[64],"a":[65],"fine-grained":[66],"continual":[67],"learning":[68],"algorithm":[69],"for":[70],"incremental":[72],"recognition.":[74],"Since":[75],"imbalance":[77],"between":[78],"old":[79,88],"results":[83,118],"classes,":[89],"class-balanced":[90],"loss":[91],"is":[92,103],"introduced":[93],"alleviate":[95],"phenomenon.":[97],"addition,":[99],"covariance":[100],"pooling":[101],"network":[102],"utilized":[104],"explore":[106],"higher-order":[108],"statistical":[109],"information":[110],"improve":[112],"discrimination":[114],"features.":[116],"Experimental":[117],"on":[119],"real":[120],"datasets":[122],"validate":[123],"effectiveness":[125],"proposed":[128],"method.":[129]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}