{"id":"https://openalex.org/W4401326197","doi":"https://doi.org/10.1109/access.2024.3438991","title":"Fast Drone Detection With Optimized Feature Capture and Modeling Algorithms","display_name":"Fast Drone Detection With Optimized Feature Capture and Modeling Algorithms","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4401326197","doi":"https://doi.org/10.1109/access.2024.3438991"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3438991","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3438991","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.2024.3438991","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5036091000","display_name":"Xiaohan Tu","orcid":null},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaohan Tu","raw_affiliation_strings":["Department of Image and Network Investigation, Zhengzhou Police University, Zhengzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-4330-240X","affiliations":[{"raw_affiliation_string":"Department of Image and Network Investigation, Zhengzhou Police University, Zhengzhou, China","institution_ids":["https://openalex.org/I38877650"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Chuanhao Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuanhao Zhang","raw_affiliation_strings":["Department of Image and Network Investigation, Zhengzhou Police University, Zhengzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Image and Network Investigation, Zhengzhou Police University, Zhengzhou, China","institution_ids":["https://openalex.org/I38877650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114417854","display_name":"Haiyan Zhuang","orcid":"https://orcid.org/0009-0004-8028-0977"},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haiyan Zhuang","raw_affiliation_strings":["Department of Image and Network Investigation, Zhengzhou Police University, Zhengzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Image and Network Investigation, Zhengzhou Police University, Zhengzhou, China","institution_ids":["https://openalex.org/I38877650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000537525","display_name":"Siping Liu","orcid":"https://orcid.org/0000-0003-0019-5154"},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siping Liu","raw_affiliation_strings":["School of Cyber Science and Engineering, Zhengzhou University, Zhengzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-0019-5154","affiliations":[{"raw_affiliation_string":"School of Cyber Science and Engineering, Zhengzhou University, Zhengzhou, China","institution_ids":["https://openalex.org/I38877650"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019444969","display_name":"Renfa Li","orcid":"https://orcid.org/0000-0003-4573-7375"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Renfa Li","raw_affiliation_strings":["College of Computer Science and Electronic Engineering, Hunan University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0003-4573-7375","affiliations":[{"raw_affiliation_string":"College of Computer Science and Electronic Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"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":1.1356,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.7720517,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"12","issue":null,"first_page":"108374","last_page":"108388"},"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9977999925613403,"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/T11133","display_name":"UAV Applications and Optimization","score":0.991599977016449,"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":0.7976024150848389},{"id":"https://openalex.org/keywords/drone","display_name":"Drone","score":0.6658015251159668},{"id":"https://openalex.org/keywords/compiler","display_name":"Compiler","score":0.6142538785934448},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5764926075935364},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.5380475521087646},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5143874287605286},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4908629059791565},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.45251843333244324},{"id":"https://openalex.org/keywords/flops","display_name":"FLOPS","score":0.4475135803222656},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39421236515045166},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.18384835124015808},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.1694207489490509}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7976024150848389},{"id":"https://openalex.org/C59519942","wikidata":"https://www.wikidata.org/wiki/Q650665","display_name":"Drone","level":2,"score":0.6658015251159668},{"id":"https://openalex.org/C169590947","wikidata":"https://www.wikidata.org/wiki/Q47506","display_name":"Compiler","level":2,"score":0.6142538785934448},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5764926075935364},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.5380475521087646},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5143874287605286},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4908629059791565},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.45251843333244324},{"id":"https://openalex.org/C3826847","wikidata":"https://www.wikidata.org/wiki/Q188768","display_name":"FLOPS","level":2,"score":0.4475135803222656},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39421236515045166},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.18384835124015808},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.1694207489490509},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2024.3438991","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3438991","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:de9a4c12eed148cbb644b1949bfa1e32","is_oa":true,"landing_page_url":"https://doaj.org/article/de9a4c12eed148cbb644b1949bfa1e32","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 12, Pp 108374-108388 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3438991","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3438991","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/G5508812232","display_name":null,"funder_award_id":"242300420693","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G576546066","display_name":null,"funder_award_id":"61932010","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W2193145675","https://openalex.org/W2884561390","https://openalex.org/W2964241181","https://openalex.org/W2966926453","https://openalex.org/W2982770724","https://openalex.org/W3036046236","https://openalex.org/W3041916388","https://openalex.org/W3048030262","https://openalex.org/W3094897602","https://openalex.org/W3106250896","https://openalex.org/W3184439416","https://openalex.org/W3194236473","https://openalex.org/W4226272687","https://openalex.org/W4281487654","https://openalex.org/W4294664184","https://openalex.org/W4372263301","https://openalex.org/W4372279253","https://openalex.org/W4375868797","https://openalex.org/W4379115377","https://openalex.org/W4379165329","https://openalex.org/W4382603201","https://openalex.org/W4386076325","https://openalex.org/W4387653592","https://openalex.org/W4396951418","https://openalex.org/W6746765679","https://openalex.org/W6752057402","https://openalex.org/W6760424586","https://openalex.org/W6776080156","https://openalex.org/W6781575362","https://openalex.org/W6784999070","https://openalex.org/W6796538260","https://openalex.org/W6798838024","https://openalex.org/W6800033024","https://openalex.org/W6810974023","https://openalex.org/W6854173254"],"related_works":["https://openalex.org/W4229448053","https://openalex.org/W4247925126","https://openalex.org/W4327774218","https://openalex.org/W2059768187","https://openalex.org/W4312858960","https://openalex.org/W4386036939","https://openalex.org/W4379143281","https://openalex.org/W2605096541","https://openalex.org/W3200286695","https://openalex.org/W4386322305"],"abstract_inverted_index":{"Detecting":[0],"drones":[1],"is":[2,20,147,155,207],"a":[3,47,120],"complex":[4,101],"challenge,":[5],"primarily":[6],"due":[7],"to":[8,22,99,106,115],"their":[9],"small":[10],"feature":[11,37,43,73,78,96],"size":[12],"for":[13,28,139],"extraction":[14],"and":[15,25,39,52,59,67,129,157,185,193,200],"variable":[16],"lighting":[17],"conditions.":[18],"It":[19,54,135],"crucial":[21],"effectively":[23],"capture":[24,38,44,64,97],"model":[26],"features":[27],"drone":[29,123,153],"detection.":[30,124],"To":[31],"accurately":[32],"detect":[33],"drones,":[34],"we":[35,110],"propose":[36],"modeling":[40,79],"modules.":[41],"The":[42,125,149],"module":[45,80,90],"has":[46],"minimal":[48],"number":[49],"of":[50,56,94],"FLOPs":[51],"parameters.":[53,88],"consists":[55],"both":[57],"local":[58],"global":[60,68],"attention":[61,83],"branches,":[62],"which":[63],"contextual":[65],"information":[66],"dependencies":[69],"across":[70],"the":[71,92,95,112,137,144],"entire":[72],"set.":[74],"Complementing":[75],"this,":[76],"our":[77,164],"innovatively":[81],"calculates":[82],"maps":[84],"without":[85],"any":[86],"additional":[87],"This":[89],"augments":[91],"capability":[93],"mechanism":[98],"represent":[100],"patterns":[102],"more":[103],"effectively.":[104],"Finally,":[105],"ensure":[107],"rapid":[108],"deployment,":[109],"convert":[111],"proposed":[113],"models":[114],"machine":[116],"codes":[117,138],"by":[118],"introducing":[119],"compiler,":[121],"accelerating":[122],"compiler":[126],"unifies":[127],"inter-":[128],"intra-operator":[130],"scheduling":[131],"with":[132],"task":[133],"abstraction.":[134],"optimizes":[136],"hardware.":[140],"In":[141],"compiling":[142],"time,":[143],"effective":[145],"schedule":[146],"performed.":[148],"compilation":[150],"ensures":[151],"that":[152],"detection":[154],"real-time":[156],"accuracy":[158],"remains":[159],"unchanged.":[160],"Through":[161],"rigorous":[162],"testing,":[163],"methods":[165,197,214],"have":[166],"demonstrated":[167],"superiority":[168],"over":[169],"most":[170],"current":[171],"ones":[172],"in":[173],"several":[174],"metrics,":[175],"including":[176],"accuracy,":[177],"parameter":[178],"quantities,":[179],"FLOPs,":[180],"average":[181],"FPS,":[182],"visual":[183],"effects,":[184],"latency.":[186],"Our":[187,204],"method":[188],"yields":[189],"at":[190,208],"least":[191,209],"23.5%":[192],"12.47%":[194],"higher$AR_{M}$than":[195],"existing":[196],"on":[198,215],"DUT-Anti-UAV":[199],"Online":[201],"Drone":[202],"datasets.":[203],"inference":[205],"speed":[206],"6.49%":[210],"higher":[211],"than":[212],"other":[213],"NVIDIA":[216],"RTX":[217],"2080":[218],"Ti":[219],"GPU.":[220]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}
