{"id":"https://openalex.org/W4402178291","doi":"https://doi.org/10.1145/3686625.3686628","title":"Detecting UAV Target with Deep Convolutional Neural Network","display_name":"Detecting UAV Target with Deep Convolutional Neural Network","publication_year":2024,"publication_date":"2024-07-19","ids":{"openalex":"https://openalex.org/W4402178291","doi":"https://doi.org/10.1145/3686625.3686628"},"language":"en","primary_location":{"id":"doi:10.1145/3686625.3686628","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3686625.3686628","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 6th International Electronics Communication Conference","raw_type":"proceedings-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/A5106961053","display_name":"Mutagisha Norbelt","orcid":null},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Mutagisha Norbelt","raw_affiliation_strings":["Hangzhou Innovation Institute, Beihang University, China and \rSchool of Electronic and Information Engineering, Beihang University, China"],"raw_orcid":"https://orcid.org/0009-0001-4949-0878","affiliations":[{"raw_affiliation_string":"Hangzhou Innovation Institute, Beihang University, China and \rSchool of Electronic and Information Engineering, Beihang University, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030989565","display_name":"Xiling Luo","orcid":"https://orcid.org/0000-0002-3443-6940"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiling Luo","raw_affiliation_strings":["Hangzhou Innovation Institute, Beihang University, China and \rSchool of Electronic and Information Engineering, Beihang University, China"],"raw_orcid":"https://orcid.org/0000-0002-3443-6940","affiliations":[{"raw_affiliation_string":"Hangzhou Innovation Institute, Beihang University, China and \rSchool of Electronic and Information Engineering, Beihang University, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jinping Sun","orcid":"https://orcid.org/0000-0002-1489-0812"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinping Sun","raw_affiliation_strings":["School of Electronic and Information Engineering, Beihang University, China"],"raw_orcid":"https://orcid.org/0000-0002-1489-0812","affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Beihang University, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087512001","display_name":"Junjun Wang","orcid":"https://orcid.org/0000-0001-9791-6717"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junjun Wang","raw_affiliation_strings":["School of Electronic and Information Engineering, Beihang University, China"],"raw_orcid":"https://orcid.org/0000-0001-9791-6717","affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Beihang University, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106981966","display_name":"Uwimana Claude","orcid":"https://orcid.org/0000-0001-5032-7157"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Uwimana Claude","raw_affiliation_strings":["School of Computer Science, Beihang University, China"],"raw_orcid":"https://orcid.org/0000-0001-5032-7157","affiliations":[{"raw_affiliation_string":"School of Computer Science, Beihang University, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090771937","display_name":"Muhammad Wisal","orcid":"https://orcid.org/0009-0000-3894-1699"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Muhammad Wisal","raw_affiliation_strings":["School of Electronic and Information Engineering, Beihang University, China"],"raw_orcid":"https://orcid.org/0009-0000-3894-1699","affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Beihang University, China","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5106961053"],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":null,"apc_paid":null,"fwci":0.2381,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.5112915,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"11","last_page":"18"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9975000023841858,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9911999702453613,"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":0.7647228240966797},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7643938660621643},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5911685228347778},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.41664785146713257},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3478146195411682}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7647228240966797},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7643938660621643},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5911685228347778},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.41664785146713257},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3478146195411682}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3686625.3686628","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3686625.3686628","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 6th International Electronics Communication Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.6200000047683716,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1903029394","https://openalex.org/W2097117768","https://openalex.org/W2194775991","https://openalex.org/W2559655401","https://openalex.org/W2613718673","https://openalex.org/W2908939556","https://openalex.org/W2910205159","https://openalex.org/W2963037989","https://openalex.org/W2970731346","https://openalex.org/W3041916388","https://openalex.org/W3094292917","https://openalex.org/W3094482290","https://openalex.org/W3124045049","https://openalex.org/W3134782660","https://openalex.org/W3159440488","https://openalex.org/W3170181770","https://openalex.org/W4206352407","https://openalex.org/W4231455906","https://openalex.org/W4293421009","https://openalex.org/W4297101335","https://openalex.org/W4315815615","https://openalex.org/W6785652829"],"related_works":["https://openalex.org/W2731899572","https://openalex.org/W4226493464","https://openalex.org/W3215138031","https://openalex.org/W4312417841","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2772917594","https://openalex.org/W3193565141","https://openalex.org/W2775347418","https://openalex.org/W2166024367"],"abstract_inverted_index":{"Over":[0],"the":[1,154,189,213,230,234,238,251,261,271,303,306,316,320,324,346,360,364,383,388,405,411,421],"past":[2],"years,":[3],"Convolutional":[4],"Neural":[5],"Networks":[6],"(CNNs)":[7],"have":[8,50],"emerged":[9],"as":[10,244],"widely":[11],"used":[12],"techniques":[13],"for":[14,86,287,373],"tackling":[15],"various":[16,57,295],"computer":[17],"vision":[18],"challenges,":[19],"with":[20,194,280],"image":[21],"detection":[22,33,266,276,375],"being":[23,156],"a":[24,99,111,134,164,328],"popular":[25],"application.":[26],"The":[27,147,208,254,283,338,379,395],"performance":[28,262,353,369],"of":[29,39,137,215,223,246,263,274,308,340,348],"CNNs":[30],"in":[31,37,54,175,218,294,376,392],"object":[32,138,265],"has":[34,79,327],"rapidly":[35],"improved":[36],"terms":[38],"both":[40,185],"accuracy":[41,186],"and":[42,61,65,74,89,105,116,126,168,179,187,202,226,333,351,357,401,417],"speed.":[43],"Unmanned":[44],"Aerial":[45],"Vehicles":[46],"(UAVs),":[47],"or":[48,145],"drones,":[49],"seen":[51],"exponential":[52],"growth":[53],"adoption":[55],"across":[56],"sectors,":[58],"from":[59,158,277,302],"military":[60,117],"surveillance":[62],"to":[63,70,101,113,120,123,153,211,227,249,270,331,371],"agriculture":[64],"infrastructure":[66],"inspection.":[67],"Their":[68],"ability":[69,122,330],"capture":[71],"aerial":[72,142],"data":[73,90,155,301],"perform":[75],"remote":[76],"sensing":[77],"tasks":[78],"revolutionized":[80],"industries,":[81],"making":[82],"them":[83],"invaluable":[84],"tools":[85],"monitoring,":[87],"mapping,":[88],"collection.":[91],"However,":[92],"UAVs":[93,220,385,407],"flying":[94],"near":[95],"runways":[96],"can":[97,109],"pose":[98],"danger":[100],"airplanes":[102],"during":[103],"take-off":[104],"landing.":[106],"Additionally,":[107],"drones":[108],"be":[110],"threat":[112],"stadiums,":[114],"prisons,":[115],"camps":[118],"due":[119,152],"their":[121,352],"carry":[124],"payloads":[125],"bypass":[127],"ground":[128],"security.":[129],"This":[130,172],"research":[131],"concentrates":[132],"on":[133,299,312,354,382,404,420],"particular":[135],"aspect":[136],"detection:":[139],"identifying":[140],"unmanned":[141],"vehicles":[143],"(UAVs":[144],"drones).":[146],"task":[148],"becomes":[149],"more":[150,313],"demanding":[151],"extracted":[157],"video":[159,278,377],"footage":[160],"captured":[161],"simultaneously":[162],"by":[163],"visible":[165],"light":[166],"camera":[167],"an":[169],"infrared":[170],"camera.":[171],"setup":[173],"results":[174,284,361,381],"difficult":[176],"viewing":[177],"angles":[178],"significant":[180],"motion":[181,224,281,317],"blur.":[182,282],"To":[183],"assess":[184],"speed,":[188],"study":[190],"selected":[191],"two":[192],"models":[193,217,235,267],"typical":[195],"architectures:":[196],"You":[197],"Only":[198],"Look":[199],"Once":[200],"(YOLO)":[201],"Single":[203],"Shot":[204],"MultiBox":[205],"Detector":[206],"(SSD).":[207],"goal":[209],"was":[210,342],"evaluate":[212],"robustness":[214],"these":[216,264],"detecting":[219],"under":[221],"conditions":[222],"blur":[225,318],"understand":[228],"how":[229],"structural":[231,289],"differences":[232],"between":[233],"might":[236],"influence":[237],"results.":[239],"Several":[240],"experiments":[241,298],"were":[242],"conducted":[243],"part":[245],"this":[247],"work":[248],"achieve":[250],"stated":[252],"objectives.":[253],"findings":[255],"likely":[256],"provide":[257],"valuable":[258],"insights":[259],"into":[260],"when":[268,310],"applied":[269],"challenging":[272],"scenario":[273],"UAV":[275,300,374,393],"streams":[279],"showed":[285,362],"that":[286,323,363],"better":[288],"design,":[290],"YOLOv3":[291,309,325,365,396],"outperformed":[292],"SSD":[293,341,372,412],"aspects.":[296],"Further":[297],"dataset":[304],"demonstrated":[305,322],"efficiency":[307],"trained":[311],"images.":[314],"Regarding":[315],"problem,":[319],"studies":[321],"model":[326,366],"good":[329],"recognize":[332],"learn":[334],"blurred":[335],"visual":[336],"patterns.":[337],"structure":[339],"further":[343],"tested":[344],"through":[345],"design":[347],"default":[349],"boxes":[350],"different":[355],"scales":[356],"locations.":[358],"Overall,":[359],"had":[367],"superior":[368],"compared":[370],"streams.":[378],"experimental":[380],"Discovery":[384,406],"Dataset":[386],"confirmed":[387],"proposed":[389],"techniques'":[390],"value":[391],"discovery.":[394],"technique":[397,413],"achieved":[398,414],"93%":[399],"precision":[400,416],"89.3%":[402],"recall":[403,419],"test":[408],"dataset,":[409],"while":[410],"88.9%":[415],"86.3%":[418],"same":[422],"dataset.":[423]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-21T23:12:01.093139","created_date":"2025-10-10T00:00:00"}