{"id":"https://openalex.org/W4389331429","doi":"https://doi.org/10.1109/lgrs.2023.3339636","title":"Efficient Remote-Sensing Segmentation With Generative Adversarial Transformer","display_name":"Efficient Remote-Sensing Segmentation With Generative Adversarial Transformer","publication_year":2023,"publication_date":"2023-12-05","ids":{"openalex":"https://openalex.org/W4389331429","doi":"https://doi.org/10.1109/lgrs.2023.3339636"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2023.3339636","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2023.3339636","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","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/A5078892896","display_name":"Luyi Qiu","orcid":"https://orcid.org/0000-0002-8158-4604"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Luyi Qiu","raw_affiliation_strings":["School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-8158-4604","affiliations":[{"raw_affiliation_string":"School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079293666","display_name":"Dayu Yu","orcid":"https://orcid.org/0000-0003-1720-8302"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dayu Yu","raw_affiliation_strings":["School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0003-1720-8302","affiliations":[{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100455665","display_name":"Xiaofeng Zhang","orcid":"https://orcid.org/0000-0002-7185-4682"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaofeng Zhang","raw_affiliation_strings":["School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-7185-4682","affiliations":[{"raw_affiliation_string":"School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108658896","display_name":"Chenxiao Zhang","orcid":"https://orcid.org/0009-0000-9356-6801"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenxiao Zhang","raw_affiliation_strings":["School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.7254,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.8666366,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"21","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.996999979019165,"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/adversarial-system","display_name":"Adversarial system","score":0.7439524531364441},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6670375466346741},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.600906491279602},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5600301027297974},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.5384087562561035},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.529045045375824},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48994916677474976},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4421883523464203},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12720754742622375},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.07387641072273254}],"concepts":[{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.7439524531364441},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6670375466346741},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.600906491279602},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5600301027297974},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5384087562561035},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.529045045375824},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48994916677474976},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4421883523464203},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12720754742622375},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.07387641072273254},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2023.3339636","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2023.3339636","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5199999809265137,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[{"id":"https://openalex.org/G3178643927","display_name":null,"funder_award_id":"2021M702510","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G3397038905","display_name":null,"funder_award_id":"2022CFB668","funder_id":"https://openalex.org/F4320322186","funder_display_name":"Natural Science Foundation of Hubei Province"},{"id":"https://openalex.org/G4000258386","display_name":null,"funder_award_id":"42201396","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G506840683","display_name":null,"funder_award_id":"BX2021223","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/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320322186","display_name":"Natural Science Foundation of Hubei Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W2890139949","https://openalex.org/W2941817276","https://openalex.org/W2996837403","https://openalex.org/W3035280441","https://openalex.org/W3093142463","https://openalex.org/W3098881417","https://openalex.org/W3121081803","https://openalex.org/W3138516171","https://openalex.org/W3161825146","https://openalex.org/W3206506760","https://openalex.org/W4206988707","https://openalex.org/W4285141564","https://openalex.org/W4285171099","https://openalex.org/W4312283145","https://openalex.org/W4312994792","https://openalex.org/W4313427650","https://openalex.org/W4321232185","https://openalex.org/W6679406034","https://openalex.org/W6729856380","https://openalex.org/W6752378368"],"related_works":["https://openalex.org/W2502115930","https://openalex.org/W2482350142","https://openalex.org/W4246396837","https://openalex.org/W3176240006","https://openalex.org/W3126451824","https://openalex.org/W1561927205","https://openalex.org/W3191453585","https://openalex.org/W4297672492","https://openalex.org/W4288019534","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Most":[0],"deep-learning":[1],"methods":[2],"that":[3,12],"achieve":[4],"high":[5],"segmentation":[6,46],"accuracy":[7,138],"require":[8],"deep":[9],"network":[10,59],"architectures":[11],"are":[13,143],"too":[14],"heavy":[15],"and":[16,26,95,135],"complex":[17],"to":[18,81],"run":[19],"on":[20,86,93,119],"embedded":[21],"devices":[22],"with":[23,76],"limited":[24],"storage":[25],"memory":[27],"space.":[28],"To":[29,91],"address":[30],"this":[31,33],"issue,":[32],"letter":[34],"proposes":[35],"an":[36,49,124,136],"efficient":[37,51],"generative":[38],"adversarial":[39],"transformer":[40,58,74],"(GATrans)":[41],"for":[42],"achieving":[43,123],"high-precision":[44],"semantic":[45],"while":[47],"maintaining":[48],"extremely":[50],"size.":[52],"The":[53],"framework":[54],"utilizes":[55],"a":[56,87],"global":[57,73,83],"(GTNet)":[60],"as":[61],"the":[62,98,101,111,120],"generator,":[63],"efficiently":[64],"extracting":[65],"multilevel":[66],"features":[67,84],"through":[68,116],"residual":[69],"connections.":[70],"GTNet":[71],"employs":[72],"blocks":[75],"progressively":[77],"linear":[78],"computational":[79],"complexity":[80],"reassign":[82],"based":[85],"learnable":[88],"similarity":[89,107],"function.":[90],"focus":[92],"object-":[94],"pixel-level":[96],"information,":[97],"GATrans":[99],"optimizes":[100],"objective":[102],"function":[103],"by":[104],"combining":[105],"structural":[106],"losses.":[108],"We":[109],"validate":[110],"effectiveness":[112],"of":[113,133,140],"our":[114],"approach":[115],"extensive":[117],"experiments":[118],"Vaihingen":[121],"dataset,":[122],"average":[125],"<inline-formula":[126],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[127,147],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">":[128],"<tex-math":[129],"notation=\"LaTeX\">$F1$":[130],"</tex-math></inline-formula>":[131],"score":[132],"90.17%":[134],"overall":[137],"(OA)":[139],"91.92%.":[141],"Codes":[142],"available":[144],"at":[145],"<uri":[146],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/qiuluyi/GATrans</uri>":[148],".":[149]},"counts_by_year":[{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
