{"id":"https://openalex.org/W4304172678","doi":"https://doi.org/10.3390/rs14195063","title":"Target Detection Method of UAV Aerial Imagery Based on Improved YOLOv5","display_name":"Target Detection Method of UAV Aerial Imagery Based on Improved YOLOv5","publication_year":2022,"publication_date":"2022-10-10","ids":{"openalex":"https://openalex.org/W4304172678","doi":"https://doi.org/10.3390/rs14195063"},"language":"en","primary_location":{"id":"doi:10.3390/rs14195063","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14195063","pdf_url":"https://www.mdpi.com/2072-4292/14/19/5063/pdf?version=1665478557","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/2072-4292/14/19/5063/pdf?version=1665478557","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5034517419","display_name":"Xudong Luo","orcid":null},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xudong Luo","raw_affiliation_strings":["College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101615576","display_name":"Yiquan Wu","orcid":"https://orcid.org/0000-0002-0194-8042"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yiquan Wu","raw_affiliation_strings":["College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113600509","display_name":"Fei\u2013Yue Wang","orcid":"https://orcid.org/0000-0001-9185-3989"},"institutions":[{"id":"https://openalex.org/I2799321762","display_name":"WuXi AppTec (China)","ror":"https://ror.org/04eh3ca90","country_code":"CN","type":"company","lineage":["https://openalex.org/I2799321762"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feiyue Wang","raw_affiliation_strings":["Wuxi Gewu Intelligent Technology Co., Ltd., Wuxi 214016, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wuxi Gewu Intelligent Technology Co., Ltd., Wuxi 214016, China","institution_ids":["https://openalex.org/I2799321762"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101615576"],"corresponding_institution_ids":["https://openalex.org/I9842412"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2784},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2784},"fwci":6.8251,"has_fulltext":true,"cited_by_count":93,"citation_normalized_percentile":{"value":0.9812089,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"14","issue":"19","first_page":"5063","last_page":"5063"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998000264167786,"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":0.9998000264167786,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9983999729156494,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9968000054359436,"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":0.8064041137695312},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6246412992477417},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.5917771458625793},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4771175682544708},{"id":"https://openalex.org/keywords/pascal","display_name":"Pascal (unit)","score":0.476576566696167},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.4685564637184143},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.4581020176410675},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4345334768295288},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.4171812832355499},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41646796464920044},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.33065861463546753},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.10479196906089783},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09291628003120422}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8064041137695312},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6246412992477417},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.5917771458625793},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4771175682544708},{"id":"https://openalex.org/C75608658","wikidata":"https://www.wikidata.org/wiki/Q44395","display_name":"Pascal (unit)","level":2,"score":0.476576566696167},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.4685564637184143},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.4581020176410675},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4345334768295288},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.4171812832355499},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41646796464920044},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.33065861463546753},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.10479196906089783},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09291628003120422},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs14195063","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14195063","pdf_url":"https://www.mdpi.com/2072-4292/14/19/5063/pdf?version=1665478557","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:fd9c859ef7ab432695483db18baf9daf","is_oa":true,"landing_page_url":"https://doaj.org/article/fd9c859ef7ab432695483db18baf9daf","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 14, Iss 19, p 5063 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/14/19/5063/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs14195063","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"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":"Remote Sensing; Volume 14; Issue 19; Pages: 5063","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs14195063","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14195063","pdf_url":"https://www.mdpi.com/2072-4292/14/19/5063/pdf?version=1665478557","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":[],"awards":[{"id":"https://openalex.org/G2744459430","display_name":null,"funder_award_id":"61573183","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"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4304172678.pdf","grobid_xml":"https://content.openalex.org/works/W4304172678.grobid-xml"},"referenced_works_count":58,"referenced_works":["https://openalex.org/W1536680647","https://openalex.org/W1608462934","https://openalex.org/W2102605133","https://openalex.org/W2151103935","https://openalex.org/W2168356304","https://openalex.org/W2176924101","https://openalex.org/W2179352600","https://openalex.org/W2183341477","https://openalex.org/W2193145675","https://openalex.org/W2194775991","https://openalex.org/W2407521645","https://openalex.org/W2565639579","https://openalex.org/W2570343428","https://openalex.org/W2605995529","https://openalex.org/W2613718673","https://openalex.org/W2752782242","https://openalex.org/W2859048627","https://openalex.org/W2924574544","https://openalex.org/W2928165649","https://openalex.org/W2962834855","https://openalex.org/W2963037989","https://openalex.org/W2963150697","https://openalex.org/W2963351448","https://openalex.org/W2963446712","https://openalex.org/W2963857746","https://openalex.org/W2964121718","https://openalex.org/W2964241181","https://openalex.org/W2968614659","https://openalex.org/W2997747012","https://openalex.org/W3031227608","https://openalex.org/W3034971973","https://openalex.org/W3039926407","https://openalex.org/W3097096317","https://openalex.org/W3098722327","https://openalex.org/W3106250896","https://openalex.org/W3118257828","https://openalex.org/W3118436417","https://openalex.org/W3118608800","https://openalex.org/W3119129845","https://openalex.org/W3122173535","https://openalex.org/W3133663968","https://openalex.org/W3134054343","https://openalex.org/W3156982815","https://openalex.org/W3197607112","https://openalex.org/W4205444143","https://openalex.org/W4210966825","https://openalex.org/W4220981485","https://openalex.org/W4224940354","https://openalex.org/W4229055310","https://openalex.org/W4280605039","https://openalex.org/W4281391581","https://openalex.org/W4281488511","https://openalex.org/W4281653815","https://openalex.org/W4286633571","https://openalex.org/W4386076325","https://openalex.org/W6668990524","https://openalex.org/W6683411478","https://openalex.org/W6740164494"],"related_works":["https://openalex.org/W2953234277","https://openalex.org/W2022849497","https://openalex.org/W3081299480","https://openalex.org/W2407190427","https://openalex.org/W2919210741","https://openalex.org/W2907584218","https://openalex.org/W3002446410","https://openalex.org/W3209312100","https://openalex.org/W4390224712","https://openalex.org/W4322096758"],"abstract_inverted_index":{"Due":[0],"to":[1,27,66,112,154,169,182],"the":[2,11,48,67,73,94,113,117,121,128,156,164,176,184,188,216,220,223,232,235,239,243,249,258,262],"advantages":[3],"of":[4,35,50,75,116,130,187,197,215,222,234,242,257],"small":[5,54],"size,":[6],"lightweight,":[7],"and":[8,20,60,105,146,175,195,211,219,272],"simple":[9],"operation,":[10],"unmanned":[12],"aerial":[13,30,42],"vehicle":[14],"(UAV)":[15],"has":[16],"been":[17,78],"widely":[18],"used,":[19],"it":[21],"is":[22],"also":[23],"becoming":[24],"increasingly":[25],"convenient":[26],"capture":[28],"high-resolution":[29],"images":[31,43],"in":[32,47,124,127],"a":[33,61],"variety":[34],"environments.":[36],"Existing":[37],"target-detection":[38],"methods":[39],"for":[40],"UAV":[41],"lack":[44],"outstanding":[45],"performance":[46],"face":[49],"challenges":[51],"such":[52],"as":[53],"targets,":[55],"dense":[56],"arrangement,":[57],"sparse":[58],"distribution,":[59],"complex":[62],"background.":[63],"In":[64,162],"response":[65],"above":[68,118],"problems,":[69],"some":[70],"improvements":[71],"on":[72,201,248,261],"basis":[74],"YOLOv5l":[76],"have":[77],"made":[79],"by":[80,246,268],"us.":[81],"Specifically,":[82],"three":[83,119],"feature-extraction":[84],"modules":[85],"are":[86,92],"proposed,":[87],"using":[88],"asymmetric":[89],"convolutions.":[90],"They":[91],"named":[93],"Asymmetric":[95,99,106],"ResNet":[96],"(ASResNet)":[97],"module,":[98,104,109],"Enhanced":[100],"Feature":[101],"Extraction":[102],"(AEFE)":[103],"Res2Net":[107],"(ASRes2Net)":[108],"respectively.":[110,274],"According":[111],"respective":[114],"characteristics":[115],"modules,":[120],"residual":[122],"blocks":[123],"different":[125],"positions":[126],"backbone":[129,233],"YOLOv5":[131],"were":[132,199,227],"replaced":[133],"accordingly.":[134],"An":[135],"Improved":[136],"Efficient":[137],"Channel":[138],"Attention":[139],"(IECA)":[140],"module":[141],"was":[142,152,167,180,266],"added":[143],"after":[144],"Focus,":[145],"Group":[147],"Spatial":[148,157],"Pyramid":[149,158],"Pooling":[150,159],"(GSPP)":[151],"used":[153,168,181],"replace":[155],"(SPP)":[160],"module.":[161],"addition,":[163],"K-Means++":[165],"algorithm":[166],"obtain":[170],"more":[171],"accurate":[172],"anchor":[173],"boxes,":[174],"new":[177],"EIOU-NMS":[178],"method":[179,225,237,260],"improve":[183],"postprocessing":[185],"ability":[186],"model.":[189],"Finally,":[190],"ablation":[191],"experiments,":[192,194],"comparative":[193],"visualization":[196],"results":[198],"performed":[200],"five":[202],"datasets,":[203],"namely":[204],"CIFAR-10,":[205],"PASCAL":[206],"VOC,":[207],"VEDAI,":[208],"VisDrone":[209],"2019,":[210],"Forklift.":[212],"The":[213,252],"effectiveness":[214],"improved":[217,267],"strategies":[218],"superiority":[221],"proposed":[224,236,259],"(YOLO-UAV)":[226],"verified.":[228],"Compared":[229],"with":[230],"YOLOv5l,":[231],"increased":[238],"top-one":[240],"accuracy":[241],"classification":[244],"task":[245],"7.20%":[247],"CIFAR-10":[250],"dataset.":[251],"mean":[253],"average":[254],"precision":[255],"(mAP)":[256],"four":[263],"object-detection":[264],"datasets":[265],"5.39%,":[269],"5.79%,":[270],"4.46%,":[271],"8.90%,":[273]},"counts_by_year":[{"year":2026,"cited_by_count":9},{"year":2025,"cited_by_count":31},{"year":2024,"cited_by_count":30},{"year":2023,"cited_by_count":23}],"updated_date":"2026-07-30T17:31:21.811387","created_date":"2022-10-11T00:00:00"}
