{"id":"https://openalex.org/W4366226599","doi":"https://doi.org/10.1109/jstars.2023.3267824","title":"Dual Consistency Alignment Based Self-Supervised Learning for SAR Target Recognition With Speckle Noise Resistance","display_name":"Dual Consistency Alignment Based Self-Supervised Learning for SAR Target Recognition With Speckle Noise Resistance","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4366226599","doi":"https://doi.org/10.1109/jstars.2023.3267824"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2023.3267824","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2023.3267824","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/4609444/10103576.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/4609443/4609444/10103576.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5017146820","display_name":"Yikui Zhai","orcid":"https://orcid.org/0000-0003-0154-9743"},"institutions":[{"id":"https://openalex.org/I4210151615","display_name":"Wuyi University","ror":"https://ror.org/0488wz367","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210151615"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yikui Zhai","raw_affiliation_strings":["Department of Intelligent Manufacturing, Wuyi University, Jiangmen, China"],"affiliations":[{"raw_affiliation_string":"Department of Intelligent Manufacturing, Wuyi University, Jiangmen, China","institution_ids":["https://openalex.org/I4210151615"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080286697","display_name":"Jinrui Liao","orcid":"https://orcid.org/0000-0002-2093-7701"},"institutions":[{"id":"https://openalex.org/I4210151615","display_name":"Wuyi University","ror":"https://ror.org/0488wz367","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210151615"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinrui Liao","raw_affiliation_strings":["Department of Intelligent Manufacturing, Wuyi University, Jiangmen, China"],"affiliations":[{"raw_affiliation_string":"Department of Intelligent Manufacturing, Wuyi University, Jiangmen, China","institution_ids":["https://openalex.org/I4210151615"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069043471","display_name":"Bing Sun","orcid":"https://orcid.org/0000-0002-5520-2406"},"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":"Bing Sun","raw_affiliation_strings":["School of Electronics and Information Engineering, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101520947","display_name":"Ziyi Jiang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210151615","display_name":"Wuyi University","ror":"https://ror.org/0488wz367","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210151615"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziyi Jiang","raw_affiliation_strings":["Department of Intelligent Manufacturing, Wuyi University, Jiangmen, China"],"affiliations":[{"raw_affiliation_string":"Department of Intelligent Manufacturing, Wuyi University, Jiangmen, China","institution_ids":["https://openalex.org/I4210151615"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068745676","display_name":"Zilu Ying","orcid":"https://orcid.org/0000-0002-3074-5586"},"institutions":[{"id":"https://openalex.org/I4210151615","display_name":"Wuyi University","ror":"https://ror.org/0488wz367","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210151615"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zilu Ying","raw_affiliation_strings":["Department of Intelligent Manufacturing, Wuyi University, Jiangmen, China"],"affiliations":[{"raw_affiliation_string":"Department of Intelligent Manufacturing, Wuyi University, Jiangmen, China","institution_ids":["https://openalex.org/I4210151615"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100759563","display_name":"Wenqi Wang","orcid":"https://orcid.org/0000-0002-1185-4867"},"institutions":[{"id":"https://openalex.org/I4210151615","display_name":"Wuyi University","ror":"https://ror.org/0488wz367","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210151615"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenqi Wang","raw_affiliation_strings":["Department of Intelligent Manufacturing, Wuyi University, Jiangmen, China"],"affiliations":[{"raw_affiliation_string":"Department of Intelligent Manufacturing, Wuyi University, Jiangmen, China","institution_ids":["https://openalex.org/I4210151615"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031772222","display_name":"Angelo Genovese","orcid":"https://orcid.org/0000-0002-3683-4723"},"institutions":[{"id":"https://openalex.org/I189158943","display_name":"University of Milan","ror":"https://ror.org/00wjc7c48","country_code":"IT","type":"education","lineage":["https://openalex.org/I189158943"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Angelo Genovese","raw_affiliation_strings":["Department of Computer Science and Dipartimento di Informatica, Universit&#x00E0; Degli Studi di Milano, Milano, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Dipartimento di Informatica, Universit&#x00E0; Degli Studi di Milano, Milano, Italy","institution_ids":["https://openalex.org/I189158943"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009147954","display_name":"Vincenzo Piuri","orcid":"https://orcid.org/0000-0003-3178-8198"},"institutions":[{"id":"https://openalex.org/I189158943","display_name":"University of Milan","ror":"https://ror.org/00wjc7c48","country_code":"IT","type":"education","lineage":["https://openalex.org/I189158943"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Vincenzo Piuri","raw_affiliation_strings":["Department of Computer Science and Dipartimento di Informatica, Universit&#x00E0; Degli Studi di Milano, Milano, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Dipartimento di Informatica, Universit&#x00E0; Degli Studi di Milano, Milano, Italy","institution_ids":["https://openalex.org/I189158943"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004969615","display_name":"Fabio Scotti","orcid":"https://orcid.org/0000-0002-4277-3701"},"institutions":[{"id":"https://openalex.org/I189158943","display_name":"University of Milan","ror":"https://ror.org/00wjc7c48","country_code":"IT","type":"education","lineage":["https://openalex.org/I189158943"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Fabio Scotti","raw_affiliation_strings":["Department of Computer Science and Dipartimento di Informatica, Universit&#x00E0; Degli Studi di Milano, Milano, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Dipartimento di Informatica, Universit&#x00E0; Degli Studi di Milano, Milano, Italy","institution_ids":["https://openalex.org/I189158943"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5017146820"],"corresponding_institution_ids":["https://openalex.org/I4210151615"],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":{"value":1250,"currency":"USD","value_usd":1250},"fwci":11.4778,"has_fulltext":true,"cited_by_count":15,"citation_normalized_percentile":{"value":0.97825335,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"16","issue":null,"first_page":"3915","last_page":"3928"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.9939000010490417,"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":0.9909999966621399,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7885055541992188},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.774556577205658},{"id":"https://openalex.org/keywords/speckle-noise","display_name":"Speckle noise","score":0.7578573226928711},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.7343231439590454},{"id":"https://openalex.org/keywords/speckle-pattern","display_name":"Speckle pattern","score":0.6327033042907715},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6175011396408081},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6056029200553894},{"id":"https://openalex.org/keywords/multiplicative-noise","display_name":"Multiplicative noise","score":0.5220439434051514},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.520038366317749},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.4621947407722473},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.42750269174575806},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1847439408302307},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.06131383776664734}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7885055541992188},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.774556577205658},{"id":"https://openalex.org/C180940675","wikidata":"https://www.wikidata.org/wiki/Q7575045","display_name":"Speckle noise","level":3,"score":0.7578573226928711},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.7343231439590454},{"id":"https://openalex.org/C102290492","wikidata":"https://www.wikidata.org/wiki/Q7575045","display_name":"Speckle pattern","level":2,"score":0.6327033042907715},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6175011396408081},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6056029200553894},{"id":"https://openalex.org/C18015164","wikidata":"https://www.wikidata.org/wiki/Q6935000","display_name":"Multiplicative noise","level":5,"score":0.5220439434051514},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.520038366317749},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.4621947407722473},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42750269174575806},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1847439408302307},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.06131383776664734},{"id":"https://openalex.org/C131021393","wikidata":"https://www.wikidata.org/wiki/Q7512759","display_name":"Signal transfer function","level":4,"score":0.0},{"id":"https://openalex.org/C13412647","wikidata":"https://www.wikidata.org/wiki/Q174948","display_name":"Analog signal","level":3,"score":0.0},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/jstars.2023.3267824","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2023.3267824","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/4609444/10103576.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:air.unimi.it:2434/966336","is_oa":true,"landing_page_url":"https://hdl.handle.net/2434/966336","pdf_url":"https://air.unimi.it/bitstream/2434/966336/7/Dual_Consistency_Alignment_Based_Self-Supervised_Learning_for_SAR_Target_Recognition_With_Speckle_Noise_Resistance.pdf","source":{"id":"https://openalex.org/S4306400516","display_name":"Archivio Istituzionale della Ricerca (Universita Degli Studi Di Milano)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I189158943","host_organization_name":"University of Milan","host_organization_lineage":["https://openalex.org/I189158943"],"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":null,"raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:doaj.org/article:6d48fdb941c04aa4916c15f766d0ef01","is_oa":true,"landing_page_url":"https://doaj.org/article/6d48fdb941c04aa4916c15f766d0ef01","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":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 3915-3928 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/jstars.2023.3267824","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2023.3267824","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/4609444/10103576.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1288007078","display_name":null,"funder_award_id":"2019A1515010716","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"},{"id":"https://openalex.org/G1698684391","display_name":null,"funder_award_id":"15010716","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"},{"id":"https://openalex.org/G4993840398","display_name":null,"funder_award_id":"2019A15","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"},{"id":"https://openalex.org/G7516686503","display_name":null,"funder_award_id":"2017KCXTD015","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"},{"id":"https://openalex.org/G7606732923","display_name":null,"funder_award_id":"2021A1515011576","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"},{"id":"https://openalex.org/G8450791910","display_name":null,"funder_award_id":"No.2021A1515011576","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"},{"id":"https://openalex.org/G8864745708","display_name":null,"funder_award_id":"2021A1515","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"}],"funders":[{"id":"https://openalex.org/F4320337111","display_name":"Basic and Applied Basic Research Foundation of Guangdong Province","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4366226599.pdf","grobid_xml":"https://content.openalex.org/works/W4366226599.grobid-xml"},"referenced_works_count":68,"referenced_works":["https://openalex.org/W2034344316","https://openalex.org/W2138621090","https://openalex.org/W2187089797","https://openalex.org/W2292481059","https://openalex.org/W2321533354","https://openalex.org/W2326925005","https://openalex.org/W2410591237","https://openalex.org/W2615263668","https://openalex.org/W2772760271","https://openalex.org/W2773828237","https://openalex.org/W2785325870","https://openalex.org/W2798991696","https://openalex.org/W2889621419","https://openalex.org/W2900193097","https://openalex.org/W2900651019","https://openalex.org/W2936355499","https://openalex.org/W2954540134","https://openalex.org/W2962858109","https://openalex.org/W2992741641","https://openalex.org/W3005680577","https://openalex.org/W3007703983","https://openalex.org/W3022726996","https://openalex.org/W3034781633","https://openalex.org/W3035468615","https://openalex.org/W3035524453","https://openalex.org/W3036224891","https://openalex.org/W3095867871","https://openalex.org/W3100144085","https://openalex.org/W3109762487","https://openalex.org/W3111057163","https://openalex.org/W3117374221","https://openalex.org/W3120431929","https://openalex.org/W3124562677","https://openalex.org/W3129169341","https://openalex.org/W3130456161","https://openalex.org/W3133271982","https://openalex.org/W3135512617","https://openalex.org/W3152264159","https://openalex.org/W3160678956","https://openalex.org/W3166500718","https://openalex.org/W3167109618","https://openalex.org/W3171007011","https://openalex.org/W3174575212","https://openalex.org/W3191955027","https://openalex.org/W3192142973","https://openalex.org/W3193781503","https://openalex.org/W3194531425","https://openalex.org/W3214424256","https://openalex.org/W3215772841","https://openalex.org/W4214939412","https://openalex.org/W4221167446","https://openalex.org/W4226409422","https://openalex.org/W4283819318","https://openalex.org/W4285820546","https://openalex.org/W4296456625","https://openalex.org/W4312334925","https://openalex.org/W4312382935","https://openalex.org/W6700872662","https://openalex.org/W6747899497","https://openalex.org/W6765696844","https://openalex.org/W6774314701","https://openalex.org/W6779371281","https://openalex.org/W6779997284","https://openalex.org/W6789843748","https://openalex.org/W6793809909","https://openalex.org/W6796394185","https://openalex.org/W6804394976","https://openalex.org/W6809715509"],"related_works":["https://openalex.org/W2594861681","https://openalex.org/W4229442396","https://openalex.org/W2746258982","https://openalex.org/W2120652167","https://openalex.org/W3114047281","https://openalex.org/W2112985705","https://openalex.org/W1989368580","https://openalex.org/W3045828211","https://openalex.org/W1895939681","https://openalex.org/W2122836938"],"abstract_inverted_index":{"Deep":[0],"learning":[1],"based":[2,49,96,174],"on":[3,56,121,175],"Convolutional":[4],"Neural":[5],"Networks":[6],"(CNN)":[7],"has":[8],"been":[9],"widely":[10],"applied":[11],"in":[12,61,74,209],"Synthetic":[13],"Aperture":[14],"Radar":[15],"(SAR)":[16],"target":[17,51,72,90,163],"recognition":[18,52,73,164,201,206],"and":[19,64,133,180,202],"made":[20],"significant":[21],"progress.":[22],"However,":[23],"due":[24],"to":[25,33,70,106,137,157,189,197],"the":[26,30,57,62,71,148,152,158],"physical":[27],"effects":[28],"of":[29,38,192],"equipment":[31],"used":[32],"collect":[34],"images,":[35],"various":[36],"degrees":[37],"speckle":[39,84,107,141,161,169,193],"noise":[40,59,85,108,142,162,170],"will":[41],"be":[42],"introduced":[43],"into":[44],"SAR":[45,50,89,101,160,199],"images.":[46],"Traditional":[47],"CNN":[48],"methods":[53],"are":[54,103],"premised":[55],"same":[58,149],"intensity":[60],"training":[63],"testing":[65,178],"set,":[66,179],"which":[67,116],"is":[68,119,155,172,195,215],"contrary":[69],"practice.":[75],"To":[76],"alleviate":[77],"this":[78,125,167,185],"problem,":[79],"we":[80,127],"propose":[81],"a":[82,204],"novel":[83],"resistant":[86],"framework":[87],"for":[88],"recognition,":[91],"called":[92],"Dual":[93],"Consistency":[94],"Alignment":[95],"Self-Supervised":[97],"Learning(DCA-SSL).":[98],"Firstly,":[99],"original":[100,145],"images":[102],"randomly":[104],"added":[105],"with":[109,144],"different":[110,190],"thresholds":[111],"through":[112],"multiplicative":[113],"noise,":[114,194],"after":[115],"contrastive":[117],"pre-training":[118],"performed":[120],"unlabeled":[122],"data.":[123],"During":[124],"period,":[126],"combine":[128],"instance":[129],"pseudo-label":[130],"consistency":[131,135],"alignment":[132,136],"feature":[134],"align":[138],"multiple":[139],"threshold":[140],"views":[143,146],"under":[147],"targets.":[150],"Finally,":[151],"pre-trained":[153],"model":[154],"migrated":[156],"downstream":[159],"task.":[165],"In":[166],"article,":[168],"modeling":[171],"conducted":[173],"MSTAR":[176],"data":[177],"experiment":[181],"results":[182],"reveal":[183],"that":[184],"method":[186],"can":[187],"adapt":[188],"intensities":[191],"robust":[196],"modeled":[198],"image":[200],"maintains":[203],"high":[205],"rate":[207],"even":[208],"small":[210],"sample":[211],"learning.":[212],"Our":[213],"code":[214],"available":[216],"at:":[217],"<uri":[218],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[219],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/Jordan-Liao/DCA-SSL</uri>":[220],".":[221]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":6}],"updated_date":"2026-03-14T08:43:22.919905","created_date":"2025-10-10T00:00:00"}
