{"id":"https://openalex.org/W4220908261","doi":"https://doi.org/10.1142/s0218126622501663","title":"A UAV-Based Energy-Efficient and Real-Time Object Detection System with Multi-Source Image Fusion","display_name":"A UAV-Based Energy-Efficient and Real-Time Object Detection System with Multi-Source Image Fusion","publication_year":2022,"publication_date":"2022-03-16","ids":{"openalex":"https://openalex.org/W4220908261","doi":"https://doi.org/10.1142/s0218126622501663"},"language":"en","primary_location":{"id":"doi:10.1142/s0218126622501663","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218126622501663","pdf_url":null,"source":{"id":"https://openalex.org/S167602672","display_name":"Journal of Circuits Systems and Computers","issn_l":"0218-1266","issn":["0218-1266","1793-6454"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Circuits, Systems and Computers","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/A5055094792","display_name":"Mei Chen","orcid":"https://orcid.org/0000-0003-0842-5604"},"institutions":[{"id":"https://openalex.org/I4210103733","display_name":"Shandong Xiehe University","ror":"https://ror.org/01bx4e159","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210103733"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mei Chen","raw_affiliation_strings":["Computer Department, Shandong Xiehe University, Jinan, Shandong, P. R. China"],"affiliations":[{"raw_affiliation_string":"Computer Department, Shandong Xiehe University, Jinan, Shandong, P. R. China","institution_ids":["https://openalex.org/I4210103733"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003172288","display_name":"Xiaoyan Wang","orcid":"https://orcid.org/0000-0001-9334-714X"},"institutions":[{"id":"https://openalex.org/I4210103733","display_name":"Shandong Xiehe University","ror":"https://ror.org/01bx4e159","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210103733"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaoyan Wang","raw_affiliation_strings":["Computer Department, Shandong Xiehe University, Jinan, Shandong, P. R. China"],"affiliations":[{"raw_affiliation_string":"Computer Department, Shandong Xiehe University, Jinan, Shandong, P. R. China","institution_ids":["https://openalex.org/I4210103733"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100370998","display_name":"Hong Wang","orcid":"https://orcid.org/0000-0003-3791-786X"},"institutions":[{"id":"https://openalex.org/I4210103733","display_name":"Shandong Xiehe University","ror":"https://ror.org/01bx4e159","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210103733"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Wang","raw_affiliation_strings":["Computer Department, Shandong Xiehe University, Jinan, Shandong, P. R. China"],"affiliations":[{"raw_affiliation_string":"Computer Department, Shandong Xiehe University, Jinan, Shandong, P. R. China","institution_ids":["https://openalex.org/I4210103733"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040395559","display_name":"Shufang Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I4210103733","display_name":"Shandong Xiehe University","ror":"https://ror.org/01bx4e159","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210103733"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shufang Zhao","raw_affiliation_strings":["Computer Department, Shandong Xiehe University, Jinan, Shandong, P. R. China"],"affiliations":[{"raw_affiliation_string":"Computer Department, Shandong Xiehe University, Jinan, Shandong, P. R. China","institution_ids":["https://openalex.org/I4210103733"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5003172288"],"corresponding_institution_ids":["https://openalex.org/I4210103733"],"apc_list":null,"apc_paid":null,"fwci":1.0136,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.77898971,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"31","issue":"09","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","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"}},"topics":[{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","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":0.9987999796867371,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9980999827384949,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8517028093338013},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7579383850097656},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7474105358123779},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6462194919586182},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.5336867570877075},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5087187886238098},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.4649770259857178},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.44204792380332947},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.43110162019729614},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.42597153782844543},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4148690104484558},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10805320739746094}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8517028093338013},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7579383850097656},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7474105358123779},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6462194919586182},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.5336867570877075},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5087187886238098},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.4649770259857178},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.44204792380332947},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.43110162019729614},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.42597153782844543},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4148690104484558},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10805320739746094},{"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},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218126622501663","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218126622501663","pdf_url":null,"source":{"id":"https://openalex.org/S167602672","display_name":"Journal of Circuits Systems and Computers","issn_l":"0218-1266","issn":["0218-1266","1793-6454"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Circuits, Systems and Computers","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8899999856948853,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1708141795","https://openalex.org/W2109255472","https://openalex.org/W2193145675","https://openalex.org/W2194775991","https://openalex.org/W2256359941","https://openalex.org/W2474462684","https://openalex.org/W2518018527","https://openalex.org/W2559655401","https://openalex.org/W2807848753","https://openalex.org/W2963037989","https://openalex.org/W2963163009","https://openalex.org/W2963351448","https://openalex.org/W3044238138","https://openalex.org/W3106250896","https://openalex.org/W3134488167","https://openalex.org/W3185800928"],"related_works":["https://openalex.org/W2788731446","https://openalex.org/W2204403038","https://openalex.org/W3152170969","https://openalex.org/W2139242969","https://openalex.org/W2379054866","https://openalex.org/W2549658594","https://openalex.org/W2370195708","https://openalex.org/W1490651872","https://openalex.org/W2350422455","https://openalex.org/W2284201331"],"abstract_inverted_index":{"Deep-learning-based":[0],"object":[1,19,48,74],"detection":[2,20,49,75],"is":[3,101,112,123],"widely":[4],"used":[5],"in":[6],"unmanned":[7],"aerial":[8],"vehicle":[9],"(UAV)":[10],"systems.":[11],"However,":[12],"existing":[13],"methods":[14],"can":[15,39,133],"only":[16],"perform":[17],"the":[18,28,34,57,72,88,91,97,104,109,115,120,130,135,140,147,152],"algorithm":[21,50],"on":[22,83],"visible":[23,35,61,110,141],"images.":[24,66],"In":[25],"many":[26],"scenarios,":[27],"infrared":[29,65,121,153],"image":[30,36,52,111,122,142,154],"performs":[31],"better":[32],"than":[33],"because":[37],"it":[38],"represent":[40],"more":[41],"invisible":[42],"features.":[43],"This":[44],"paper":[45],"proposes":[46],"an":[47],"using":[51],"fusion":[53],"to":[54,79],"fully":[55],"use":[56],"advantages":[58],"of":[59,90,108,119,139,151],"both":[60],"light":[62],"images":[63],"and":[64,70,114,145],"Moreover,":[67],"we":[68,94],"optimize":[69],"re-design":[71],"standard":[73],"algorithm,":[76],"YOLO":[77],"V2,":[78],"improve":[80],"its":[81],"performance":[82,89],"embedded":[84],"platforms.":[85],"By":[86],"evaluating":[87],"proposed":[92,131],"method,":[93],"found":[95],"that":[96,129],"recognition":[98,105,116,136,148],"accuracy":[99,106,117,137,149],"rate":[100,107,118,138,150],"97.43%,":[102],"while":[103],"91.09%":[113],"91.39%.":[124],"The":[125],"experimental":[126],"results":[127],"indicate":[128],"method":[132],"increase":[134,146],"by":[143,155],"6.34%":[144],"6.04%.":[156]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}