{"id":"https://openalex.org/W4375957585","doi":"https://doi.org/10.48550/arxiv.2305.04021","title":"A Sea-Land Clutter Classification Framework for Over-the-Horizon-Radar Based on Weighted Loss Semi-supervised GAN","display_name":"A Sea-Land Clutter Classification Framework for Over-the-Horizon-Radar Based on Weighted Loss Semi-supervised GAN","publication_year":2023,"publication_date":"2023-05-06","ids":{"openalex":"https://openalex.org/W4375957585","doi":"https://doi.org/10.48550/arxiv.2305.04021"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2305.04021","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2305.04021","pdf_url":"https://arxiv.org/pdf/2305.04021","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2305.04021","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100712577","display_name":"Xiaoxuan Zhang","orcid":"https://orcid.org/0000-0003-1976-680X"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Zhang, Xiaoxuan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066334922","display_name":"Zengfu Wang","orcid":"https://orcid.org/0000-0003-0424-3010"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Zengfu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075563005","display_name":"Kun L\u00fc","orcid":"https://orcid.org/0000-0002-3403-2516"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lu, Kun","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108517562","display_name":"Quan Pan","orcid":"https://orcid.org/0000-0001-8162-2896"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pan, Quan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5100341552","display_name":"Yang Li","orcid":"https://orcid.org/0000-0001-5672-4110"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Yang","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100712577"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9919000267982483,"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":0.9919000267982483,"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/T10891","display_name":"Radar Systems and Signal Processing","score":0.9865999817848206,"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/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9110999703407288,"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/clutter","display_name":"Clutter","score":0.796643853187561},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6865395903587341},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6377993822097778},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.6109955906867981},{"id":"https://openalex.org/keywords/discriminator","display_name":"Discriminator","score":0.6095454692840576},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5815730094909668},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5722223520278931},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.43057823181152344},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.42769360542297363},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36230066418647766}],"concepts":[{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.796643853187561},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6865395903587341},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6377993822097778},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.6109955906867981},{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.6095454692840576},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5815730094909668},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5722223520278931},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.43057823181152344},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.42769360542297363},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36230066418647766},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"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/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2305.04021","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2305.04021","pdf_url":"https://arxiv.org/pdf/2305.04021","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"doi:10.48550/arxiv.2305.04021","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2305.04021","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2305.04021","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2305.04021","pdf_url":"https://arxiv.org/pdf/2305.04021","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[{"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/G2777495420","display_name":null,"funder_award_id":"U21B2008","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/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6200837767","display_name":null,"funder_award_id":"61790552","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7196242803","display_name":null,"funder_award_id":"2021JM-06","funder_id":"https://openalex.org/F4320336567","funder_display_name":"Natural Science Basic Research Program of Shaanxi Province"},{"id":"https://openalex.org/G8177549228","display_name":null,"funder_award_id":"2021JM","funder_id":"https://openalex.org/F4320336567","funder_display_name":"Natural Science Basic Research Program of Shaanxi Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320336567","display_name":"Natural Science Basic Research Program of Shaanxi Province","ror":null}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4375957585.pdf"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4293202849","https://openalex.org/W1980965563","https://openalex.org/W1489300767","https://openalex.org/W2387995142","https://openalex.org/W4380714744","https://openalex.org/W4319453655","https://openalex.org/W2596763562","https://openalex.org/W2964218010","https://openalex.org/W2808862658","https://openalex.org/W3087789538"],"abstract_inverted_index":{"Deep":[0],"convolutional":[1],"neural":[2],"network":[3,80],"has":[4],"made":[5],"great":[6],"achievements":[7],"in":[8,58],"sea-land":[9,31,45,133,166],"clutter":[10,32,46,134,167],"classification":[11,125,193,202],"for":[12,29],"over-the-horizon-radar":[13],"(OTHR).":[14],"The":[15,123,136],"premise":[16],"is":[17,39,52,129,174],"that":[18,140,197],"a":[19,30,85,132,153,161],"large":[20,162],"number":[21,155,163],"of":[22,61,96,99,110,127,146,156,164],"labeled":[23,157],"training":[24],"samples":[25,158],"must":[26],"be":[27],"provided":[28],"classifier.":[33],"In":[34],"practical":[35],"engineering":[36],"applications,":[37],"it":[38],"relatively":[40],"easy":[41],"to":[42,176],"obtain":[43],"label-free":[44],"samples.":[47,168],"However,":[48],"the":[49,59,92,97,107,144,147,170,178,182,200],"labeling":[50],"process":[51],"extremely":[53],"cumbersome":[54],"and":[55,118,181,195],"requires":[56],"expertise":[57],"field":[60],"OTHR.":[62],"To":[63],"solve":[64],"this":[65],"problem,":[66],"we":[67,83,105,187],"propose":[68,84,106],"an":[69],"improved":[70],"generative":[71,78,101],"adversarial":[72,79,102,116,179],"network,":[73],"namely":[74],"weighted":[75,108,172],"loss":[76,89,109,117,173,180],"semi-supervised":[77,100,124,192],"(WL-SSGAN).":[81],"Specifically,":[82],"joint":[86,119],"feature":[87,120,183],"matching":[88,121,184],"by":[90,112,159],"weighting":[91,114],"middle":[93],"layer":[94],"features":[95],"discriminator":[98],"network.":[103],"Furthermore,":[104],"WL-SSGAN":[111,128,141,189,198],"linearly":[113],"standard":[115],"loss.":[122,185],"performance":[126,145],"evaluated":[130],"on":[131],"dataset.":[135],"experimental":[137],"results":[138],"show":[139],"can":[142],"improve":[143],"fully":[148],"supervised":[149],"classifier":[150],"with":[151,190],"only":[152],"small":[154],"utilizing":[160],"unlabeled":[165],"Further,":[169],"proposed":[171],"superior":[175],"both":[177],"Additionally,":[186],"compare":[188],"conventional":[191],"methods":[194],"demonstrate":[196],"achieves":[199],"highest":[201],"accuracy.":[203]},"counts_by_year":[],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
