{"id":"https://openalex.org/W4386895450","doi":"https://doi.org/10.3390/rs15184614","title":"Boosting SAR Aircraft Detection Performance with Multi-Stage Domain Adaptation Training","display_name":"Boosting SAR Aircraft Detection Performance with Multi-Stage Domain Adaptation Training","publication_year":2023,"publication_date":"2023-09-20","ids":{"openalex":"https://openalex.org/W4386895450","doi":"https://doi.org/10.3390/rs15184614"},"language":"en","primary_location":{"id":"doi:10.3390/rs15184614","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15184614","pdf_url":"https://www.mdpi.com/2072-4292/15/18/4614/pdf?version=1695186272","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/15/18/4614/pdf?version=1695186272","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5041557439","display_name":"Wenbo Yu","orcid":"https://orcid.org/0000-0003-2749-6934"},"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/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenbo Yu","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China","School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 101408, China"],"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]},{"raw_affiliation_string":"School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 101408, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085226334","display_name":"Jiamu Li","orcid":"https://orcid.org/0000-0002-7268-489X"},"institutions":[{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"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":"Jiamu Li","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China","School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 101408, China"],"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]},{"raw_affiliation_string":"School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 101408, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100371711","display_name":"Zijian Wang","orcid":"https://orcid.org/0000-0002-9847-9691"},"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/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zijian Wang","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China","School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 101408, China"],"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]},{"raw_affiliation_string":"School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 101408, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002944604","display_name":"Zhongjun Yu","orcid":"https://orcid.org/0000-0001-8373-7136"},"institutions":[{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"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":true,"raw_author_name":"Zhongjun Yu","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China","School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 101408, China"],"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]},{"raw_affiliation_string":"School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 101408, China","institution_ids":["https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5002944604"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210137199","https://openalex.org/I4210165038"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":0.9806,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.78057311,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"15","issue":"18","first_page":"4614","last_page":"4614"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9958000183105469,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9958000183105469,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.9927999973297119,"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/T11861","display_name":"Thermal Regulation in Medicine","score":0.9646999835968018,"subfield":{"id":"https://openalex.org/subfields/2706","display_name":"Critical Care and Intensive Care Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8624099493026733},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7175556421279907},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.6633287072181702},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.5951828360557556},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.562111496925354},{"id":"https://openalex.org/keywords/image-translation","display_name":"Image translation","score":0.5563544034957886},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.49024778604507446},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4860420823097229},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4787999093532562},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4725736677646637},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4440825581550598},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.41476643085479736},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2904564142227173}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8624099493026733},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7175556421279907},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.6633287072181702},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.5951828360557556},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.562111496925354},{"id":"https://openalex.org/C2779757391","wikidata":"https://www.wikidata.org/wiki/Q6002292","display_name":"Image translation","level":3,"score":0.5563544034957886},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.49024778604507446},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4860420823097229},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4787999093532562},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4725736677646637},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4440825581550598},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.41476643085479736},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2904564142227173},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/rs15184614","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15184614","pdf_url":"https://www.mdpi.com/2072-4292/15/18/4614/pdf?version=1695186272","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:13d7f0735ab649ee891cba7461df47a1","is_oa":true,"landing_page_url":"https://doaj.org/article/13d7f0735ab649ee891cba7461df47a1","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":"Remote Sensing, Vol 15, Iss 18, p 4614 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/rs15184614","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15184614","pdf_url":"https://www.mdpi.com/2072-4292/15/18/4614/pdf?version=1695186272","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.4300000071525574}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4386895450.pdf"},"referenced_works_count":43,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1536680647","https://openalex.org/W1731081199","https://openalex.org/W1882958252","https://openalex.org/W2030233108","https://openalex.org/W2044907338","https://openalex.org/W2102605133","https://openalex.org/W2160445017","https://openalex.org/W2534798644","https://openalex.org/W2774244034","https://openalex.org/W2810181536","https://openalex.org/W2901756989","https://openalex.org/W2925359305","https://openalex.org/W2962793481","https://openalex.org/W2963037989","https://openalex.org/W2963150697","https://openalex.org/W2963351448","https://openalex.org/W2964115968","https://openalex.org/W2968634921","https://openalex.org/W3004477218","https://openalex.org/W3012991496","https://openalex.org/W3034974675","https://openalex.org/W3035673985","https://openalex.org/W3101684954","https://openalex.org/W3109679703","https://openalex.org/W3122279293","https://openalex.org/W3135493063","https://openalex.org/W3135497965","https://openalex.org/W3176967236","https://openalex.org/W3184840388","https://openalex.org/W3198862447","https://openalex.org/W3216412612","https://openalex.org/W4206750462","https://openalex.org/W4220837851","https://openalex.org/W4224239645","https://openalex.org/W4280626651","https://openalex.org/W4285006206","https://openalex.org/W4285190288","https://openalex.org/W4293192696","https://openalex.org/W4312381878","https://openalex.org/W4385450714","https://openalex.org/W6637618735","https://openalex.org/W6809848596"],"related_works":["https://openalex.org/W3192840557","https://openalex.org/W2970686063","https://openalex.org/W2922421953","https://openalex.org/W3002270006","https://openalex.org/W4213299466","https://openalex.org/W1504288058","https://openalex.org/W2883677709","https://openalex.org/W2889705046","https://openalex.org/W4312789810","https://openalex.org/W3022119184"],"abstract_inverted_index":{"Deep":[0],"learning":[1,121,142],"has":[2],"achieved":[3],"significant":[4,61],"success":[5],"in":[6,122,207],"various":[7],"synthetic":[8],"aperture":[9],"radar":[10],"(SAR)":[11],"imagery":[12,51],"interpretation":[13],"tasks.":[14],"However,":[15],"automatic":[16],"aircraft":[17,55,145,160,234,249],"detection":[18,56,161,231],"is":[19,89],"still":[20],"challenging":[21],"due":[22],"to":[23,44,91,109,133,140,240],"the":[24,47,60,69,112,124,129,141,149,169,173,200,211,217,222,230,242],"high":[25],"labeling":[26],"cost":[27],"and":[28,52,66,83,98,126,184,205,235],"limited":[29,243],"data":[30,245],"quantity.":[31],"To":[32,58,147],"address":[33,241],"this":[34],"issue,":[35],"we":[36,104],"propose":[37,105],"a":[38,157],"multi-stage":[39],"domain":[40,62,80,84,119,195,201,218],"adaptation":[41,196],"training":[42,70,171,244],"framework":[43],"efficiently":[45],"transfer":[46],"knowledge":[48,225],"from":[49],"optical":[50,65,93,204],"boost":[53],"SAR":[54,67,159,206,248],"performance.":[57],"overcome":[59],"discrepancy":[63,202],"between":[64,203],"images,":[68],"process":[71],"can":[72,131,214],"be":[73],"divided":[74],"into":[75,95],"three":[76,208],"stages:":[77],"image":[78,101],"translation,":[79],"adaptive":[81,85],"pretraining,":[82],"finetuning.":[86],"First,":[87],"CycleGAN":[88],"used":[90],"translate":[92],"images":[94,97],"SAR-style":[96],"reduce":[99,111],"global-level":[100],"divergence.":[102],"Next,":[103],"multilayer":[106],"feature":[107,114],"alignment":[108],"further":[110],"local-level":[113],"distribution":[115],"distance.":[116],"By":[117,198],"applying":[118],"adversarial":[120],"both":[123],"pretrain":[125],"finetune":[127],"stages,":[128,210],"detector":[130],"learn":[132],"extract":[134],"domain-invariant":[135],"features":[136],"that":[137,166,185],"are":[138],"beneficial":[139],"of":[143,176,182,186,224,233,247],"generic":[144],"characteristics.":[146],"evaluate":[148],"proposed":[150,170,212],"method,":[151],"extensive":[152],"experiments":[153],"were":[154],"conducted":[155],"on":[156],"self-built":[158],"dataset.":[162],"The":[163],"results":[164],"indicate":[165],"by":[167,190],"using":[168],"framework,":[172],"average":[174],"precision":[175],"Faster":[177],"RCNN":[178],"gained":[179],"an":[180,237],"increase":[181],"2.4,":[183],"YOLOv3":[187],"was":[188],"improved":[189],"2.6,":[191],"which":[192],"outperformed":[193],"other":[194],"methods.":[197],"reducing":[199],"progressive":[209],"method":[213],"effectively":[215],"mitigate":[216],"shift,":[219],"thereby":[220],"enhancing":[221],"efficiency":[223],"transfer.":[226],"It":[227],"greatly":[228],"improves":[229],"performance":[232],"offers":[236],"effective":[238],"approach":[239],"problem":[246],"detection.":[250]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5}],"updated_date":"2026-02-28T09:26:25.869077","created_date":"2025-10-10T00:00:00"}
