{"id":"https://openalex.org/W4404327454","doi":"https://doi.org/10.1108/ijicc-08-2024-0383","title":"QAGA-Net: enhanced vision transformer-based object detection for remote sensing images","display_name":"QAGA-Net: enhanced vision transformer-based object detection for remote sensing images","publication_year":2024,"publication_date":"2024-11-13","ids":{"openalex":"https://openalex.org/W4404327454","doi":"https://doi.org/10.1108/ijicc-08-2024-0383"},"language":"en","primary_location":{"id":"doi:10.1108/ijicc-08-2024-0383","is_oa":false,"landing_page_url":"https://doi.org/10.1108/ijicc-08-2024-0383","pdf_url":null,"source":{"id":"https://openalex.org/S124503262","display_name":"International Journal of Intelligent Computing and Cybernetics","issn_l":"1756-378X","issn":["1756-378X","1756-3798"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Intelligent Computing and Cybernetics","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/A5083847332","display_name":"Huaxiang Song","orcid":"https://orcid.org/0000-0002-8235-0455"},"institutions":[{"id":"https://openalex.org/I196038209","display_name":"Hunan University of Arts and Science","ror":"https://ror.org/01ggnn306","country_code":"CN","type":"education","lineage":["https://openalex.org/I196038209"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huaxiang Song","raw_affiliation_strings":["School of Geography Science and Tourism, Hunan University of Arts and Science, Changde, China"],"raw_orcid":"https://orcid.org/0000-0002-8235-0455","affiliations":[{"raw_affiliation_string":"School of Geography Science and Tourism, Hunan University of Arts and Science, Changde, China","institution_ids":["https://openalex.org/I196038209"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Hanjun Xia","orcid":null},"institutions":[{"id":"https://openalex.org/I196038209","display_name":"Hunan University of Arts and Science","ror":"https://ror.org/01ggnn306","country_code":"CN","type":"education","lineage":["https://openalex.org/I196038209"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hanjun Xia","raw_affiliation_strings":["School of Geography Science and Tourism, Hunan University of Arts and Science, Changde, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Geography Science and Tourism, Hunan University of Arts and Science, Changde, China","institution_ids":["https://openalex.org/I196038209"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100370079","display_name":"Wenhui Wang","orcid":"https://orcid.org/0000-0002-9623-0489"},"institutions":[{"id":"https://openalex.org/I196038209","display_name":"Hunan University of Arts and Science","ror":"https://ror.org/01ggnn306","country_code":"CN","type":"education","lineage":["https://openalex.org/I196038209"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenhui Wang","raw_affiliation_strings":["School of Geography Science and Tourism, Hunan University of Arts and Science, Changde, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Geography Science and Tourism, Hunan University of Arts and Science, Changde, China","institution_ids":["https://openalex.org/I196038209"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101699511","display_name":"Yang Zhou","orcid":"https://orcid.org/0000-0002-9148-4316"},"institutions":[{"id":"https://openalex.org/I196038209","display_name":"Hunan University of Arts and Science","ror":"https://ror.org/01ggnn306","country_code":"CN","type":"education","lineage":["https://openalex.org/I196038209"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Zhou","raw_affiliation_strings":["School of Geography Science and Tourism, Hunan University of Arts and Science, Changde, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Geography Science and Tourism, Hunan University of Arts and Science, Changde, China","institution_ids":["https://openalex.org/I196038209"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005428765","display_name":"Wanbo Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I196038209","display_name":"Hunan University of Arts and Science","ror":"https://ror.org/01ggnn306","country_code":"CN","type":"education","lineage":["https://openalex.org/I196038209"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wanbo Liu","raw_affiliation_strings":["School of Geography Science and Tourism, Hunan University of Arts and Science, Changde, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Geography Science and Tourism, Hunan University of Arts and Science, Changde, China","institution_ids":["https://openalex.org/I196038209"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Qun Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I196038209","display_name":"Hunan University of Arts and Science","ror":"https://ror.org/01ggnn306","country_code":"CN","type":"education","lineage":["https://openalex.org/I196038209"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qun Liu","raw_affiliation_strings":["School of Geography Science and Tourism, Hunan University of Arts and Science, Changde, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Geography Science and Tourism, Hunan University of Arts and Science, Changde, China","institution_ids":["https://openalex.org/I196038209"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101618262","display_name":"Jinling Liu","orcid":"https://orcid.org/0000-0002-9989-6550"},"institutions":[{"id":"https://openalex.org/I196038209","display_name":"Hunan University of Arts and Science","ror":"https://ror.org/01ggnn306","country_code":"CN","type":"education","lineage":["https://openalex.org/I196038209"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinling Liu","raw_affiliation_strings":["School of Geography Science and Tourism, Hunan University of Arts and Science, Changde, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Geography Science and Tourism, Hunan University of Arts and Science, Changde, China","institution_ids":["https://openalex.org/I196038209"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I196038209"],"apc_list":null,"apc_paid":null,"fwci":7.2843,"has_fulltext":false,"cited_by_count":34,"citation_normalized_percentile":{"value":0.98068144,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"18","issue":"1","first_page":"133","last_page":"152"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9995999932289124,"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":0.9995999932289124,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9994999766349792,"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":0.9973999857902527,"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/computer-science","display_name":"Computer science","score":0.8433053493499756},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.6486247777938843},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.6373914480209351},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5723990201950073},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5085452795028687},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.5013401508331299},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4475659430027008},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3679451644420624},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34351032972335815},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3315848112106323},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.13484808802604675}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8433053493499756},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.6486247777938843},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.6373914480209351},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5723990201950073},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5085452795028687},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5013401508331299},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4475659430027008},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3679451644420624},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34351032972335815},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3315848112106323},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.13484808802604675},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1108/ijicc-08-2024-0383","is_oa":false,"landing_page_url":"https://doi.org/10.1108/ijicc-08-2024-0383","pdf_url":null,"source":{"id":"https://openalex.org/S124503262","display_name":"International Journal of Intelligent Computing and Cybernetics","issn_l":"1756-378X","issn":["1756-378X","1756-3798"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Intelligent Computing and Cybernetics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W2308318555","https://openalex.org/W2616247523","https://openalex.org/W2992240579","https://openalex.org/W3102564565","https://openalex.org/W3137165785","https://openalex.org/W3138516171","https://openalex.org/W3183723752","https://openalex.org/W3194607948","https://openalex.org/W4210744448","https://openalex.org/W4213200979","https://openalex.org/W4226528771","https://openalex.org/W4285483923","https://openalex.org/W4289861105","https://openalex.org/W4292387403","https://openalex.org/W4307939578","https://openalex.org/W4312366108","https://openalex.org/W4312467816","https://openalex.org/W4317727254","https://openalex.org/W4319019665","https://openalex.org/W4366204749","https://openalex.org/W4377229921","https://openalex.org/W4382811320","https://openalex.org/W4385494498","https://openalex.org/W4386324116","https://openalex.org/W4387366161","https://openalex.org/W4387738458","https://openalex.org/W4387824552","https://openalex.org/W4389352554","https://openalex.org/W4389619970","https://openalex.org/W4389934706","https://openalex.org/W4390578317","https://openalex.org/W4391474583","https://openalex.org/W4391594089","https://openalex.org/W4392154824","https://openalex.org/W4392461150","https://openalex.org/W4392932888","https://openalex.org/W4392941894","https://openalex.org/W4395112528","https://openalex.org/W4395474743","https://openalex.org/W4399246435","https://openalex.org/W4399310768","https://openalex.org/W4400298143","https://openalex.org/W4400565393","https://openalex.org/W4402307376","https://openalex.org/W4405678916"],"related_works":["https://openalex.org/W2953234277","https://openalex.org/W2626256601","https://openalex.org/W147410782","https://openalex.org/W2900413183","https://openalex.org/W3022252430","https://openalex.org/W4390975304","https://openalex.org/W4287804464","https://openalex.org/W3103989898","https://openalex.org/W3211292372","https://openalex.org/W4401096132"],"abstract_inverted_index":{"Purpose":[0],"Vision":[1],"transformers":[2],"(ViT)":[3],"detectors":[4,95],"excel":[5],"in":[6,96,115,238,246],"processing":[7,12],"natural":[8],"images.":[9],"However,":[10],"when":[11,257],"remote":[13],"sensing":[14],"images":[15],"(RSIs),":[16],"ViT":[17,45,94,210,234,264,278,316,330],"methods":[18,237],"generally":[19],"exhibit":[20],"inferior":[21],"accuracy":[22,229],"compared":[23,230,258],"to":[24,40,109,153,169,174,231,259,299,312,328],"approaches":[25],"based":[26],"on":[27,218,252,277],"convolutional":[28],"neural":[29],"networks":[30],"(CNNs).":[31],"Recently,":[32],"researchers":[33],"have":[34],"proposed":[35,320],"various":[36],"structural":[37,326],"optimization":[38],"strategies":[39],"enhance":[41,159,300],"the":[42,48,56,63,91,111,122,131,138,171,201,213,219,239,253,260,271,290,301,310,319,329],"performance":[43,92,202,302],"of":[44,59,66,93,203,273,303],"detectors,":[46,265,317],"but":[47],"progress":[49],"has":[50,184,309],"been":[51],"insignificant.":[52],"We":[53,199],"contend":[54],"that":[55,225],"frequent":[57],"scarcity":[58],"RSI":[60,97],"samples":[61],"is":[62,119],"primary":[64],"cause":[65],"this":[67],"problem,":[68],"and":[69,158,163,178,189,196,221],"model":[70,154,187],"modifications":[71,327],"alone":[72],"cannot":[73],"solve":[74],"it.":[75],"Design/methodology/approach":[76],"To":[77,281],"address":[78,110,282],"this,":[79,283],"we":[80,100,136,284,294],"introduce":[81,285],"a":[82,102,125,148,185,191,286],"faster":[83],"RCNN-based":[84],"approach,":[85],"termed":[86],"QAGA-Net,":[87],"which":[88],"significantly":[89],"enhances":[90],"recognition.":[98],"Initially,":[99],"propose":[101],"novel":[103],"quantitative":[104],"augmentation":[105],"learning":[106],"(QAL)":[107],"strategy":[108,118,308],"sparse":[112,274],"data":[113,275],"distribution":[114,276],"RSIs.":[116],"This":[117,268],"integrated":[120],"as":[121,212,318],"QAL":[123,291],"module,":[124],"plug-and-play":[126],"component":[127],"active":[128],"exclusively":[129],"during":[130],"model\u2019s":[132,172],"training":[133],"phase.":[134],"Subsequently,":[135],"enhanced":[137],"feature":[139,156],"pyramid":[140],"network":[141],"(FPN)":[142],"by":[143,205,248],"introducing":[144],"two":[145,207,296],"efficient":[146,165,209,297],"modules:":[147],"global":[149],"attention":[150],"(GA)":[151],"module":[152,168],"long-range":[155],"dependencies":[157],"multi-scale":[160],"information":[161],"fusion,":[162],"an":[164,244],"pooling":[166],"(EP)":[167],"optimize":[170],"capability":[173],"understand":[175],"both":[176],"high":[177],"low":[179],"frequency":[180],"information.":[181],"Importantly,":[182],"QAGA-Net":[183,204,226,242],"compact":[186],"size":[188],"achieves":[190,227],"balance":[192],"between":[193],"computational":[194],"efficiency":[195],"accuracy.":[197],"Findings":[198],"verified":[200],"using":[206],"different":[208],"models":[211],"detector\u2019s":[214],"backbone.":[215,331],"Extensive":[216],"experiments":[217],"NWPU-10":[220],"DIOR20":[222,255],"datasets":[223],"demonstrate":[224],"superior":[228],"23":[232],"other":[233,315],"or":[235,250,263],"CNN":[236,262],"literature.":[240],"Specifically,":[241],"shows":[243],"increase":[245],"mAP":[247],"2.1%":[249],"2.6%":[251],"challenging":[254],"dataset":[256],"top-ranked":[261],"respectively.":[266],"Originality/value":[267],"paper":[269],"highlights":[270],"impact":[272],"detection":[279],"performance.":[280],"fundamentally":[287],"data-driven":[288],"approach:":[289],"module.":[292],"Additionally,":[293],"introduced":[295],"modules":[298],"FPN.":[304],"More":[305],"importantly,":[306],"our":[307],"potential":[311],"collaborate":[313],"with":[314],"method":[321],"does":[322],"not":[323],"require":[324],"any":[325]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":29}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}