{"id":"https://openalex.org/W4411995873","doi":"https://doi.org/10.1109/access.2025.3583696","title":"Dual Improvements DCNv4 and AsDDet Mechanisms for Small Object Detection in Aerial Imagery","display_name":"Dual Improvements DCNv4 and AsDDet Mechanisms for Small Object Detection in Aerial Imagery","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4411995873","doi":"https://doi.org/10.1109/access.2025.3583696"},"language":"en","primary_location":{"id":"doi:10.1109/access.2025.3583696","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3583696","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2025.3583696","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Fan Jiang","orcid":"https://orcid.org/0009-0003-9328-5155"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fan Jiang","raw_affiliation_strings":["School of Information Engineering, Xiamen Ocean Vocational College, Xiamen, Fujian, China"],"raw_orcid":"https://orcid.org/0009-0003-9328-5155","affiliations":[{"raw_affiliation_string":"School of Information Engineering, Xiamen Ocean Vocational College, Xiamen, Fujian, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021933555","display_name":"Hua-Ching Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hua-Ching Chen","raw_affiliation_strings":["School of Information Engineering, Xiamen Ocean Vocational College, Xiamen, Fujian, China"],"raw_orcid":"https://orcid.org/0009-0007-0930-1431","affiliations":[{"raw_affiliation_string":"School of Information Engineering, Xiamen Ocean Vocational College, Xiamen, Fujian, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018676673","display_name":"Songlin Wei","orcid":"https://orcid.org/0000-0002-9899-7392"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Song-Lin Wei","raw_affiliation_strings":["School of Information Engineering, Xiamen Ocean Vocational College, Xiamen, Fujian, China"],"raw_orcid":"https://orcid.org/0000-0002-9899-7392","affiliations":[{"raw_affiliation_string":"School of Information Engineering, Xiamen Ocean Vocational College, Xiamen, Fujian, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007593261","display_name":"Hsuan\u2013Ming Feng","orcid":"https://orcid.org/0000-0002-6498-7006"},"institutions":[{"id":"https://openalex.org/I16590763","display_name":"National Quemoy University","ror":"https://ror.org/0370v7d46","country_code":"TW","type":"education","lineage":["https://openalex.org/I16590763"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Hsuan-Ming Feng","raw_affiliation_strings":["Department of Computer Science and Information Engineering, National Quemoy University, Kinmen, Taiwan","Department of Computer Science and Information Engineering, National Quemoy University, Taiwan"],"raw_orcid":"https://orcid.org/0000-0002-6498-7006","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Quemoy University, Kinmen, Taiwan","institution_ids":["https://openalex.org/I16590763"]},{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Quemoy University, Taiwan","institution_ids":["https://openalex.org/I16590763"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19575883,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"13","issue":null,"first_page":"115033","last_page":"115047"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9836000204086304,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9836000204086304,"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/T14257","display_name":"Advanced Measurement and Detection Methods","score":0.9236999750137329,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9093999862670898,"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-vision","display_name":"Computer vision","score":0.6754464507102966},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.6603736877441406},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.659430205821991},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5939674377441406},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5809212327003479},{"id":"https://openalex.org/keywords/aerial-imagery","display_name":"Aerial imagery","score":0.5435502529144287},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.47360849380493164},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3355368971824646},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.26308488845825195},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.13817033171653748}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6754464507102966},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.6603736877441406},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.659430205821991},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5939674377441406},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5809212327003479},{"id":"https://openalex.org/C2987819851","wikidata":"https://www.wikidata.org/wiki/Q191839","display_name":"Aerial imagery","level":2,"score":0.5435502529144287},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.47360849380493164},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3355368971824646},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.26308488845825195},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.13817033171653748},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2025.3583696","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3583696","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:fea61cf3b9cd43f3bd38e90f41e9b358","is_oa":true,"landing_page_url":"https://doaj.org/article/fea61cf3b9cd43f3bd38e90f41e9b358","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":"IEEE Access, Vol 13, Pp 115033-115047 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2025.3583696","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3583696","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3655527456","display_name":null,"funder_award_id":"NSTC 112-2221-E-507-007-MY2","funder_id":"https://openalex.org/F4320331164","funder_display_name":"National Science and Technology Council"},{"id":"https://openalex.org/G7038788700","display_name":null,"funder_award_id":"NSTC 112-2221-E-032-035-MY2","funder_id":"https://openalex.org/F4320331164","funder_display_name":"National Science and Technology Council"}],"funders":[{"id":"https://openalex.org/F4320331164","display_name":"National Science and Technology Council","ror":"https://ror.org/00wnb9798"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W2102605133","https://openalex.org/W2565639579","https://openalex.org/W2618530766","https://openalex.org/W2884367402","https://openalex.org/W2963037989","https://openalex.org/W2963857746","https://openalex.org/W2964095005","https://openalex.org/W2980315690","https://openalex.org/W3213171000","https://openalex.org/W4200335308","https://openalex.org/W4200634144","https://openalex.org/W4226142707","https://openalex.org/W4285277720","https://openalex.org/W4289752563","https://openalex.org/W4318499073","https://openalex.org/W4319072006","https://openalex.org/W4324092202","https://openalex.org/W4387686424","https://openalex.org/W4388240325","https://openalex.org/W4396663216","https://openalex.org/W4401630652","https://openalex.org/W4402727033","https://openalex.org/W4402904319","https://openalex.org/W4406041753","https://openalex.org/W4406219737","https://openalex.org/W4406536976","https://openalex.org/W4406549874","https://openalex.org/W4407155111","https://openalex.org/W4407957024","https://openalex.org/W4408147406","https://openalex.org/W4408287728","https://openalex.org/W4408402047","https://openalex.org/W6637373629","https://openalex.org/W6873881505","https://openalex.org/W6876572993"],"related_works":["https://openalex.org/W2121524756","https://openalex.org/W782553550","https://openalex.org/W2317351040","https://openalex.org/W4409545614","https://openalex.org/W4292830139","https://openalex.org/W4319309705","https://openalex.org/W2342958307","https://openalex.org/W2911469306","https://openalex.org/W4396860960","https://openalex.org/W4283327355"],"abstract_inverted_index":{"This":[0,62,91,112],"study":[1],"introduces":[2],"a":[3,139,232],"dual":[4],"enhancement":[5],"mechanism":[6],"integrating":[7],"Deformable":[8],"Convolution":[9],"v4":[10],"(DCNv4)":[11],"and":[12,44,53,69,76,88,104,152,171,173,178,182,191,207,215],"an":[13,51,74,80],"Asymmetric":[14],"Decoupled":[15],"Detection":[16],"Head":[17],"(AsDDet)":[18],"to":[19,49,84,100,118,163,169,180],"significantly":[20],"improve":[21],"the":[22,66,86,93,102,116,120,129,158,187,197,222,240],"detection":[23,124,131,195,204],"performance":[24,224],"of":[25,95,109,123,141],"small":[26,110],"objects":[27],"in":[28,149,203,227,239],"high-altitude":[29],"unmanned":[30],"aerial":[31],"vehicle":[32],"(UAV)":[33],"imagery":[34],"using":[35,138],"YOLOv11":[36,43,189],"model":[37,117,190],"architecture.":[38],"We":[39],"embedded":[40],"DCNv4":[41],"into":[42],"redesigned":[45],"its":[46],"operational":[47,67],"modality":[48],"establish":[50],"efficient":[52,75],"dynamic":[54],"sparse":[55],"operator":[56],"while":[57,209],"optimizing":[58],"memory":[59],"access":[60],"processes.":[61],"integration":[63],"enhances":[64],"both":[65,212],"efficiency":[68],"overall":[70,130],"performance.":[71],"Furthermore,":[72],"AsDDet,":[73],"innovative":[77],"technique,":[78],"employs":[79],"asymmetric":[81],"dual-branch":[82],"structure":[83],"decouple":[85],"classification":[87],"regression":[89],"tasks.":[90],"allows":[92],"application":[94],"distinct":[96],"convolutional":[97],"layers":[98],"tailored":[99],"process":[101],"positional":[103],"complex":[105],"shape":[106],"data":[107],"characteristics":[108],"objects.":[111],"dual-improvement":[113],"design":[114],"enables":[115],"accommodate":[119],"diverse":[121],"demands":[122],"tasks":[125],"better,":[126],"thereby":[127],"increasing":[128],"accuracy.":[132],"An":[133],"experimental":[134,219],"validation":[135],"was":[136],"conducted":[137],"dataset":[140],"urban":[142],"appearance":[143],"violations,":[144],"which":[145],"demonstrated":[146],"significant":[147,223],"improvements":[148],"precision,":[150,205],"recall,":[151,206],"mean":[153],"average":[154],"precision":[155,159],"(mAP).":[156],"Specifically,":[157],"increased":[160,175],"from":[161,167,176],"2.50%":[162],"84.0%,":[164],"recall":[165],"improved":[166],"3.94%":[168],"81.3%,":[170],"mAP@0.5,":[172],"mAP@0.5:0.95,":[174],"2.62%":[177],"4.08%":[179],"87.8%":[181],"61.2%,":[183],"respectively.":[184],"Compared":[185],"with":[186],"original":[188],"other":[192],"mainstream":[193],"object":[194],"models,":[196],"proposed":[198],"method":[199],"exhibited":[200],"marked":[201],"enhancements":[202],"mAP":[208],"effectively":[210],"reducing":[211],"false":[213,216],"negatives":[214],"positives.":[217],"The":[218],"results":[220],"substantiate":[221],"gains":[225],"achieved":[226],"UAV-based":[228],"small-object":[229],"detection,":[230],"offering":[231],"novel":[233],"solution":[234],"for":[235],"addressing":[236],"related":[237],"challenges":[238],"field.":[241]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-07-04T00:00:00"}
