{"id":"https://openalex.org/W2988415141","doi":"https://doi.org/10.1109/igarss.2019.8899169","title":"Rotation Awareness Based Self-Supervised Learning for SAR Target Recognition","display_name":"Rotation Awareness Based Self-Supervised Learning for SAR Target Recognition","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2988415141","doi":"https://doi.org/10.1109/igarss.2019.8899169","mag":"2988415141"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2019.8899169","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2019.8899169","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100633041","display_name":"Shuai Zhang","orcid":"https://orcid.org/0000-0003-2750-114X"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuai Zhang","raw_affiliation_strings":["Key Laboratory of Information Fusion Technology of Ministry of Education, Northwestern Polytechnical University, Xi\u2019an, China","Key Laboratory of Information Fusion Technology of Ministry of Education, Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Information Fusion Technology of Ministry of Education, Northwestern Polytechnical University, Xi\u2019an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"Key Laboratory of Information Fusion Technology of Ministry of Education, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030436858","display_name":"Zaidao Wen","orcid":"https://orcid.org/0000-0003-1258-7737"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zaidao Wen","raw_affiliation_strings":["Key Laboratory of Information Fusion Technology of Ministry of Education, Northwestern Polytechnical University, Xi\u2019an, China","Key Laboratory of Information Fusion Technology of Ministry of Education, Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Information Fusion Technology of Ministry of Education, Northwestern Polytechnical University, Xi\u2019an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"Key Laboratory of Information Fusion Technology of Ministry of Education, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038197310","display_name":"Zhunga Liu","orcid":"https://orcid.org/0000-0001-7144-7449"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhunga Liu","raw_affiliation_strings":["Key Laboratory of Information Fusion Technology of Ministry of Education, Northwestern Polytechnical University, Xi\u2019an, China","Key Laboratory of Information Fusion Technology of Ministry of Education, Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Information Fusion Technology of Ministry of Education, Northwestern Polytechnical University, Xi\u2019an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"Key Laboratory of Information Fusion Technology of Ministry of Education, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108517562","display_name":"Quan Pan","orcid":"https://orcid.org/0000-0001-8162-2896"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Quan Pan","raw_affiliation_strings":["Key Laboratory of Information Fusion Technology of Ministry of Education, Northwestern Polytechnical University, Xi\u2019an, China","Key Laboratory of Information Fusion Technology of Ministry of Education, Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Information Fusion Technology of Ministry of Education, Northwestern Polytechnical University, Xi\u2019an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"Key Laboratory of Information Fusion Technology of Ministry of Education, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I17145004"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"15","issue":null,"first_page":"1378","last_page":"1381"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T11609","display_name":"Geophysical Methods and Applications","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.9955999851226807,"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/discriminative-model","display_name":"Discriminative model","score":0.8522380590438843},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7555941939353943},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7353191375732422},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.6132948994636536},{"id":"https://openalex.org/keywords/rotation","display_name":"Rotation (mathematics)","score":0.5985078811645508},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5797203779220581},{"id":"https://openalex.org/keywords/target-acquisition","display_name":"Target acquisition","score":0.5488484501838684},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3942943513393402},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.35708004236221313},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3385974168777466},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11997336149215698}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.8522380590438843},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7555941939353943},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7353191375732422},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.6132948994636536},{"id":"https://openalex.org/C74050887","wikidata":"https://www.wikidata.org/wiki/Q848368","display_name":"Rotation (mathematics)","level":2,"score":0.5985078811645508},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5797203779220581},{"id":"https://openalex.org/C2779726219","wikidata":"https://www.wikidata.org/wiki/Q7685884","display_name":"Target acquisition","level":2,"score":0.5488484501838684},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3942943513393402},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.35708004236221313},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3385974168777466},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11997336149215698},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2019.8899169","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2019.8899169","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.7699999809265137}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W2966661","https://openalex.org/W1520997877","https://openalex.org/W2065337811","https://openalex.org/W2095705004","https://openalex.org/W2124014399","https://openalex.org/W2140047655","https://openalex.org/W2154610955","https://openalex.org/W2290480450","https://openalex.org/W2292481059","https://openalex.org/W2410591237","https://openalex.org/W2466539075","https://openalex.org/W2521772843","https://openalex.org/W2523772278","https://openalex.org/W2536954809","https://openalex.org/W2544339223","https://openalex.org/W2597000936","https://openalex.org/W2773828237","https://openalex.org/W2785325870","https://openalex.org/W2790100165","https://openalex.org/W2799991397","https://openalex.org/W2883279772","https://openalex.org/W2963274778","https://openalex.org/W6600115225","https://openalex.org/W6674330103","https://openalex.org/W6682713193","https://openalex.org/W6743857607","https://openalex.org/W6747899497"],"related_works":["https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W2761785940","https://openalex.org/W1482209366","https://openalex.org/W2110523656","https://openalex.org/W2521627374","https://openalex.org/W2981954115"],"abstract_inverted_index":{"In":[0],"this":[1,29,63],"paper,":[2],"we":[3,31],"newly":[4],"suggest":[5],"that":[6],"more":[7],"attention":[8],"should":[9],"be":[10],"paid":[11],"on":[12,95],"learning":[13,39,79],"rotation-equivariant":[14],"and":[15,97,101],"label-invariant":[16],"features":[17],"for":[18],"each":[19],"target":[20,48,73,99],"instead":[21],"of":[22,47,72,108],"the":[23,45,55,89,106],"conventional":[24],"rotation-invariant":[25],"ones.":[26],"To":[27],"achieve":[28,116],"goal,":[30],"present":[32],"a":[33,77,117],"novel":[34],"rotation":[35],"awareness":[36],"based":[37],"self-supervised":[38],"(RR-SSL)":[40],"deep":[41,69],"model":[42,64,71],"to":[43,75,87],"recognize":[44],"behavior":[46],"rotation,":[49],"which":[50],"is":[51,65],"also":[52],"benefit":[53],"from":[54],"discriminative":[56,70],"training":[57],"scheme":[58],"without":[59],"manual":[60],"labeling.":[61],"Then":[62],"incorporated":[66],"into":[67],"another":[68],"recognition":[74,102,121],"form":[76],"dual-task":[78],"framework,":[80],"where":[81],"their":[82],"bottom":[83],"layers":[84],"are":[85],"shared":[86],"capture":[88],"expected":[90],"features.":[91],"Sufficient":[92],"experimental":[93],"results":[94],"moving":[96],"stationary":[98],"acquisition":[100],"(MSTAR)":[103],"database":[104],"demonstrate":[105],"effectiveness":[107],"our":[109],"proposed":[110],"model.":[111],"The":[112],"overall":[113],"framework":[114],"can":[115],"better":[118],"or":[119],"comparative":[120],"accuracy":[122],"compared":[123],"with":[124],"other":[125],"state-of-the-art":[126],"SAR-ATR":[127],"algorithms.":[128]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
