{"id":"https://openalex.org/W3109762487","doi":"https://doi.org/10.1109/jstars.2020.3039235","title":"Robust SAR Automatic Target Recognition Via Adversarial Learning","display_name":"Robust SAR Automatic Target Recognition Via Adversarial Learning","publication_year":2020,"publication_date":"2020-11-20","ids":{"openalex":"https://openalex.org/W3109762487","doi":"https://doi.org/10.1109/jstars.2020.3039235","mag":"3109762487"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2020.3039235","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2020.3039235","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/9314330/09264634.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/ielx7/4609443/9314330/09264634.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101640370","display_name":"Yuchen Guo","orcid":"https://orcid.org/0000-0003-3424-7231"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuchen Guo","raw_affiliation_strings":["National Lab of Radar Signal Processing, Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"National Lab of Radar Signal Processing, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100716826","display_name":"Lan Du","orcid":"https://orcid.org/0000-0001-7326-9666"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lan Du","raw_affiliation_strings":["National Lab of Radar Signal Processing, Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"National Lab of Radar Signal Processing, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073588989","display_name":"Di Wei","orcid":"https://orcid.org/0000-0003-2670-6362"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Di Wei","raw_affiliation_strings":["National Lab of Radar Signal Processing, Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"National Lab of Radar Signal Processing, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100369940","display_name":"Chen Li","orcid":"https://orcid.org/0000-0003-4061-6494"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Li","raw_affiliation_strings":["National Lab of Radar Signal Processing, Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"National Lab of Radar Signal Processing, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101640370"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":{"value":1250,"currency":"USD","value_usd":1250},"fwci":30.9293,"has_fulltext":true,"cited_by_count":27,"citation_normalized_percentile":{"value":0.99263828,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"14","issue":null,"first_page":"716","last_page":"729"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9991000294685364,"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":0.9991000294685364,"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":0.9958999752998352,"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/T11698","display_name":"Underwater Acoustics Research","score":0.9887999892234802,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8049664497375488},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7522000074386597},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6649301052093506},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.6334806680679321},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5740529298782349},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5735598802566528},{"id":"https://openalex.org/keywords/automatic-target-recognition","display_name":"Automatic target recognition","score":0.5139260292053223},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.4493902921676636},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.42947399616241455}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8049664497375488},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7522000074386597},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6649301052093506},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.6334806680679321},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5740529298782349},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5735598802566528},{"id":"https://openalex.org/C117623542","wikidata":"https://www.wikidata.org/wiki/Q621974","display_name":"Automatic target recognition","level":3,"score":0.5139260292053223},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.4493902921676636},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.42947399616241455},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jstars.2020.3039235","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2020.3039235","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/9314330/09264634.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:doaj.org/article:04700702d7c445bb965b4e4dcceb8043","is_oa":true,"landing_page_url":"https://doaj.org/article/04700702d7c445bb965b4e4dcceb8043","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-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 716-729 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/jstars.2020.3039235","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2020.3039235","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/9314330/09264634.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/G1013284982","display_name":null,"funder_award_id":"U1833203","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"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/G1474490597","display_name":null,"funder_award_id":"111 Project","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2023128549","display_name":null,"funder_award_id":"18039","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"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/G3406886181","display_name":null,"funder_award_id":"(B18039)","funder_id":"https://openalex.org/F4320327912","funder_display_name":"Higher Education Discipline Innovation Project"},{"id":"https://openalex.org/G3476442746","display_name":null,"funder_award_id":"61671354","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G380785927","display_name":"Workshops on Volcanoes II: Masaya Volcano, Nicaragua February 2019","funder_award_id":"1833203","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"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/G4417359500","display_name":null,"funder_award_id":"U1833203","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4872122564","display_name":null,"funder_award_id":"616713","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5631434781","display_name":null,"funder_award_id":"B18039","funder_id":"https://openalex.org/F4320327912","funder_display_name":"Higher Education Discipline Innovation Project"},{"id":"https://openalex.org/G740066082","display_name":null,"funder_award_id":"6177136","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7884590356","display_name":null,"funder_award_id":"61771362","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G83685938","display_name":null,"funder_award_id":"1833203","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G848032724","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8879567429","display_name":null,"funder_award_id":"B18039","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320327912","display_name":"Higher Education Discipline Innovation Project","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3109762487.pdf","grobid_xml":"https://content.openalex.org/works/W3109762487.grobid-xml"},"referenced_works_count":67,"referenced_works":["https://openalex.org/W648143168","https://openalex.org/W1522301498","https://openalex.org/W1686810756","https://openalex.org/W1731081199","https://openalex.org/W1882958252","https://openalex.org/W1903029394","https://openalex.org/W2039172221","https://openalex.org/W2041478093","https://openalex.org/W2042509127","https://openalex.org/W2076063813","https://openalex.org/W2099471712","https://openalex.org/W2104316689","https://openalex.org/W2112796928","https://openalex.org/W2115938283","https://openalex.org/W2116013899","https://openalex.org/W2116992238","https://openalex.org/W2117294245","https://openalex.org/W2145697390","https://openalex.org/W2146585503","https://openalex.org/W2173520492","https://openalex.org/W2194775991","https://openalex.org/W2292481059","https://openalex.org/W2292976057","https://openalex.org/W2395611524","https://openalex.org/W2405756170","https://openalex.org/W2410591237","https://openalex.org/W2474531669","https://openalex.org/W2536954809","https://openalex.org/W2559876835","https://openalex.org/W2593768305","https://openalex.org/W2597000936","https://openalex.org/W2771773135","https://openalex.org/W2804451427","https://openalex.org/W2889149612","https://openalex.org/W2903751069","https://openalex.org/W2917056838","https://openalex.org/W2945989246","https://openalex.org/W2949759300","https://openalex.org/W2951523806","https://openalex.org/W2957652735","https://openalex.org/W2962687275","https://openalex.org/W2962793481","https://openalex.org/W2963373786","https://openalex.org/W2963684088","https://openalex.org/W2963784072","https://openalex.org/W2963826681","https://openalex.org/W2963858765","https://openalex.org/W2963858786","https://openalex.org/W2964121744","https://openalex.org/W2972614050","https://openalex.org/W2986427865","https://openalex.org/W3007232948","https://openalex.org/W3015194228","https://openalex.org/W3142024233","https://openalex.org/W4285719527","https://openalex.org/W4320013936","https://openalex.org/W6621378261","https://openalex.org/W6631190155","https://openalex.org/W6637373629","https://openalex.org/W6639480849","https://openalex.org/W6640054144","https://openalex.org/W6685352114","https://openalex.org/W6713645886","https://openalex.org/W6718379498","https://openalex.org/W6720691552","https://openalex.org/W6766570797","https://openalex.org/W6775449472"],"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/W1988723959","https://openalex.org/W2053024573","https://openalex.org/W4387802373","https://openalex.org/W2773828237","https://openalex.org/W4319779178"],"abstract_inverted_index":{"The":[0,148],"traditional":[1],"denoising":[2,173],"methods":[3,63],"in":[4,112,132,160,169,233],"noise":[5,101],"robust":[6,24,33],"synthetic":[7],"aperture":[8],"radar":[9],"(SAR)":[10],"automatic":[11,35],"target":[12,36,110],"recognition":[13,19,25,37,62,181],"research":[14],"are":[15,129,143,155],"independent":[16],"of":[17,64,150,172,183,236],"the":[18,23,60,67,71,80,84,100,109,113,120,133,137,146,151,164,170,180,184,230,234],"model,":[20],"which":[21,42,177,209],"limits":[22],"performance.":[26],"In":[27,105,186],"this":[28],"article,":[29],"we":[30,73],"present":[31],"a":[32,52,75,90,94,195],"SAR":[34,68,81,103,114,141],"method":[38,189,197,227],"via":[39],"adversarial":[40],"learning,":[41],"could":[43],"integrate":[44],"data":[45,69,82,87,115,121,142,165,243],"denoising,":[46],"feature":[47,175],"extraction,":[48,176],"and":[49,83,126,153,174,205,221,240],"classification":[50],"into":[51,70,145],"unified":[53],"framework":[54],"for":[55,86,203,213],"joint":[56,158],"learning.":[57],"Different":[58],"from":[59,89,102],"common":[61],"directly":[65],"inputting":[66],"classifiers,":[72],"add":[74],"dual-generative-adversarial-network":[76],"(GAN)":[77],"model":[78],"between":[79],"classifier":[85,154],"translation":[88],"noise-polluted":[91],"style":[92,97,122],"to":[93,98,107,194],"relatively":[95],"clean":[96],"reduce":[99],"data.":[104],"order":[106],"ensure":[108],"information":[111],"can":[116,190,228],"be":[117,191],"retained":[118],"during":[119],"translation,":[123],"reconstruction":[124],"constraint":[125,128],"label":[127],"also":[130],"used":[131],"dual-GAN":[134,152],"model.":[135],"Then,":[136],"more":[138,211],"reliable":[139],"transferred":[140],"fed":[144],"classifier.":[147],"parameters":[149],"learned":[156],"through":[157],"optimization":[159],"our":[161,188,226],"method.":[162,185],"Thus,":[163],"separability":[166],"is":[167,210],"guaranteed":[168],"process":[171],"greatly":[178],"improves":[179],"performance":[182,232],"addition,":[187],"easily":[192],"extended":[193],"semisupervised":[196],"by":[198],"using":[199],"different":[200],"objective":[201],"functions":[202],"labeled":[204,242],"unlabeled":[206],"training":[207],"data,":[208],"suitable":[212],"practical":[214],"application.":[215],"Experimental":[216],"results":[217],"on":[218],"MSTAR":[219],"dataset":[220,223],"Gotcha":[222],"show":[224],"that":[225],"get":[229],"encouraging":[231],"case":[235],"low":[237],"signal-to-noise":[238],"ratio":[239],"small":[241],"size.":[244]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":5}],"updated_date":"2026-04-14T08:04:32.555800","created_date":"2025-10-10T00:00:00"}
