{"id":"https://openalex.org/W4409474116","doi":"https://doi.org/10.1109/tgrs.2025.3560984","title":"Unsupervised Transformer With Generative Label Optimization for Marine Aquaculture Segmentation","display_name":"Unsupervised Transformer With Generative Label Optimization for Marine Aquaculture Segmentation","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4409474116","doi":"https://doi.org/10.1109/tgrs.2025.3560984"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2025.3560984","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3560984","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"},"type":"article","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/A5089754208","display_name":"Jianchao Fan","orcid":"https://orcid.org/0000-0002-3121-9289"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianchao Fan","raw_affiliation_strings":["School of Control Science and Engineering, Dalian University of Technology, Dalian, China"],"raw_orcid":"https://orcid.org/0000-0002-3121-9289","affiliations":[{"raw_affiliation_string":"School of Control Science and Engineering, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100348201","display_name":"Mengmeng Li","orcid":"https://orcid.org/0000-0002-2788-0314"},"institutions":[{"id":"https://openalex.org/I88372448","display_name":"Dalian Polytechnic University","ror":"https://ror.org/00c7x4a95","country_code":"CN","type":"education","lineage":["https://openalex.org/I88372448"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengmeng Li","raw_affiliation_strings":["School of Information Science and Engineering, Dalian Polytechnic University, Dalian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Dalian Polytechnic University, Dalian, China","institution_ids":["https://openalex.org/I88372448"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101532949","display_name":"Xinzhe Wang","orcid":"https://orcid.org/0009-0008-3855-9738"},"institutions":[{"id":"https://openalex.org/I88372448","display_name":"Dalian Polytechnic University","ror":"https://ror.org/00c7x4a95","country_code":"CN","type":"education","lineage":["https://openalex.org/I88372448"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinzhe Wang","raw_affiliation_strings":["School of Information Science and Engineering, Dalian Polytechnic University, Dalian, China"],"raw_orcid":"https://orcid.org/0009-0008-3855-9738","affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Dalian Polytechnic University, Dalian, China","institution_ids":["https://openalex.org/I88372448"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8194,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.69557557,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":"63","issue":null,"first_page":"1","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12697","display_name":"Water Quality Monitoring Technologies","score":0.8137999773025513,"subfield":{"id":"https://openalex.org/subfields/2312","display_name":"Water Science and Technology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12697","display_name":"Water Quality Monitoring Technologies","score":0.8137999773025513,"subfield":{"id":"https://openalex.org/subfields/2312","display_name":"Water Science and Technology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.785099983215332,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.6880000233650208,"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/aquaculture","display_name":"Aquaculture","score":0.5384893417358398},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5323757529258728},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.49906349182128906},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.49762681126594543},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47610339522361755},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4724700152873993},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.44859564304351807},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3727734088897705},{"id":"https://openalex.org/keywords/fishery","display_name":"Fishery","score":0.23229771852493286},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1342124044895172},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.1284606158733368},{"id":"https://openalex.org/keywords/fish-actinopterygii","display_name":"Fish <Actinopterygii>","score":0.11454397439956665}],"concepts":[{"id":"https://openalex.org/C86909935","wikidata":"https://www.wikidata.org/wiki/Q188989","display_name":"Aquaculture","level":3,"score":0.5384893417358398},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5323757529258728},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.49906349182128906},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.49762681126594543},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47610339522361755},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4724700152873993},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.44859564304351807},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3727734088897705},{"id":"https://openalex.org/C505870484","wikidata":"https://www.wikidata.org/wiki/Q180538","display_name":"Fishery","level":1,"score":0.23229771852493286},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1342124044895172},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.1284606158733368},{"id":"https://openalex.org/C2909208804","wikidata":"https://www.wikidata.org/wiki/Q127282","display_name":"Fish <Actinopterygii>","level":2,"score":0.11454397439956665},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2025.3560984","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3560984","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.699999988079071,"display_name":"Life below water","id":"https://metadata.un.org/sdg/14"}],"awards":[{"id":"https://openalex.org/G2297757143","display_name":null,"funder_award_id":"41876109","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3300544366","display_name":null,"funder_award_id":"Grant 42076184, Grant 41876109, and Grant 41706195","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3518974016","display_name":null,"funder_award_id":"42076184","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4119832043","display_name":null,"funder_award_id":"[DUT23RC(3)050]","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G778467477","display_name":"GF-3\u6781\u5316SAR\u6d6e\u7b4f\u517b\u6b96\u6563\u5c04\u673a\u5236\u5206\u6790\u53ca\u591a\u7279\u5f81\u96c6\u6210\u8bc6\u522b\u65b9\u6cd5\u7814\u7a76","funder_award_id":"41706195","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W2801780873","https://openalex.org/W2914357582","https://openalex.org/W2947949815","https://openalex.org/W2981559713","https://openalex.org/W2990500698","https://openalex.org/W3042615550","https://openalex.org/W3112929693","https://openalex.org/W3139026324","https://openalex.org/W3145450063","https://openalex.org/W3159481202","https://openalex.org/W3172288085","https://openalex.org/W3174575212","https://openalex.org/W3210861834","https://openalex.org/W4205138939","https://openalex.org/W4210642697","https://openalex.org/W4210663993","https://openalex.org/W4214893857","https://openalex.org/W4285136592","https://openalex.org/W4285204591","https://openalex.org/W4293812028","https://openalex.org/W4309047247","https://openalex.org/W4362714982","https://openalex.org/W4380520416","https://openalex.org/W4386076264","https://openalex.org/W4387350462","https://openalex.org/W4392903184","https://openalex.org/W4395096381","https://openalex.org/W4396680515","https://openalex.org/W4400772116","https://openalex.org/W4401879872","https://openalex.org/W6797399245","https://openalex.org/W6809805176","https://openalex.org/W6840202747"],"related_works":["https://openalex.org/W4226374845","https://openalex.org/W319760976","https://openalex.org/W3088319873","https://openalex.org/W2087716278","https://openalex.org/W4362570340","https://openalex.org/W1581069374","https://openalex.org/W2341839491","https://openalex.org/W3186419065","https://openalex.org/W4324290231","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Supervised":[0],"deep":[1],"learning":[2],"neural":[3],"networks":[4],"provide":[5],"an":[6,68],"accurate":[7],"method":[8,203],"for":[9,76],"synthetic":[10],"aperture":[11],"radar":[12],"(SAR)":[13],"image":[14],"semantic":[15,104],"segmentation,":[16,79],"but":[17],"require":[18],"training":[19,83],"that":[20],"relies":[21],"heavily":[22],"on":[23,43,98,211],"high-quality":[24],"labeled":[25],"data.":[26],"Meanwhile,":[27],"existing":[28],"unsupervised":[29,69,82],"methods":[30],"to":[31,88,110,124,147,165,187],"obtain":[32,148],"high-precision":[33],"segmentation":[34,90,105],"results":[35],"are":[36,226],"challenging":[37],"in":[38,228],"complex":[39],"scenarios.":[40],"Moreover,":[41],"focusing":[42],"the":[44,112,117,126,133,138,149,154,160,167,174,178,189,201,229],"long-term":[45],"serial":[46],"monitoring":[47],"task":[48],"of":[49,55,84,114,129,176,196,200],"marine":[50,77],"aquaculture,":[51],"a":[52,93,140],"significant":[53],"amount":[54],"unlabeled":[56],"SAR":[57,216],"data":[58,225],"remains":[59],"underutilized.":[60],"To":[61],"address":[62],"these":[63],"problems,":[64],"this":[65],"paper":[66],"proposes":[67],"transformer":[70,101,106],"with":[71],"generative":[72,85],"label":[73],"optimization":[74,87],"(UTGLO)":[75],"aquaculture":[78,221],"which":[80],"utilizes":[81],"pseudo-label":[86,143],"improve":[89,111],"performance.":[91],"First,":[92],"dual":[94,118],"network":[95,119,168],"architecture":[96],"based":[97],"pre-trained":[99],"self-supervised":[100],"(SST)":[102],"and":[103,131,137,158,182,193,214,218,224],"(SegT)":[107],"is":[108,145,185,207],"proposed":[109,202],"quality":[113],"pseudo-labels":[115],"using":[116],"iterative":[120],"update":[121],"mechanism.":[122],"Second,":[123],"learn":[125],"global":[127,141],"semantics":[128,156],"targets":[130],"reduce":[132],"interference":[134],"between":[135],"them":[136],"background,":[139],"optimal":[142],"generator":[144],"created":[146],"target\u2019s":[150],"discriminative":[151],"features,":[152],"compute":[153],"similar":[155],"globally,":[157],"generate":[159],"initial":[161],"pseudo-labels.":[162,197],"In":[163],"addition,":[164],"alleviate":[166],"performance":[169],"degradation":[170],"problem":[171],"caused":[172],"by":[173],"coarseness":[175],"pseudo-labels,":[177],"fine-grained":[179],"feature":[180],"discrimination":[181],"complement":[183],"module":[184],"designed":[186],"optimize":[188],"target":[190],"boundary":[191],"features":[192,195],"continuity":[194],"The":[198],"superiority":[199],"over":[204],"state-of-the-art":[205],"algorithms":[206],"demonstrated":[208],"via":[209],"experimentation":[210],"GF-3,":[212],"Radarsat-2,":[213],"Sentinel-1":[215],"datasets":[217],"three":[219],"different":[220],"regions.":[222],"Code":[223],"available":[227],"GitHub":[230],"repository":[231],"https:":[232],"//github.com/fjc1575/Marine-Aquaculture/tree/main/UTGLO.":[233]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}