{"id":"https://openalex.org/W7202394985","doi":"https://doi.org/10.1109/icetis70504.2026.11633391","title":"Military Aircraft Detection in Remote Sensing Images Based on Improved YOLOv8","display_name":"Military Aircraft Detection in Remote Sensing Images Based on Improved YOLOv8","publication_year":2026,"publication_date":"2026-06-01","ids":{"openalex":"https://openalex.org/W7202394985","doi":"https://doi.org/10.1109/icetis70504.2026.11633391"},"language":"en","primary_location":{"id":"doi:10.1109/icetis70504.2026.11633391","doi":"https://doi.org/10.1109/icetis70504.2026.11633391","is_oa":true,"landing_page_url":"https://doi.org/10.1109/icetis70504.2026.11633391","pdf_url":null,"source":{"id":"https://openalex.org/S7407088874","display_name":"International Conference on Electronic Technology and Information Science (ICETIS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 11th International Conference on Electronic Technology and Information Science (ICETIS)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1109/icetis70504.2026.11633391","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5137196543","display_name":"Jiaguang Li","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210110093","display_name":"Shenyang Environmental Protection Bureau","ror":"https://ror.org/01wm7qx64","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210110093"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaguang Li","raw_affiliation_strings":["Shenyang Aircraft Corporation (Group) Co., Ltd"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenyang Aircraft Corporation (Group) Co., Ltd","institution_ids":["https://openalex.org/I4210110093"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5147138342","display_name":"Jianliang Liu","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210110093","display_name":"Shenyang Environmental Protection Bureau","ror":"https://ror.org/01wm7qx64","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210110093"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianliang Liu","raw_affiliation_strings":["Shenyang Aircraft Corporation (Group) Co., Ltd"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenyang Aircraft Corporation (Group) Co., Ltd","institution_ids":["https://openalex.org/I4210110093"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5147112858","display_name":"Bengang Liu","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210110093","display_name":"Shenyang Environmental Protection Bureau","ror":"https://ror.org/01wm7qx64","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210110093"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bengang Liu","raw_affiliation_strings":["Shenyang Aircraft Corporation (Group) Co., Ltd"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenyang Aircraft Corporation (Group) Co., Ltd","institution_ids":["https://openalex.org/I4210110093"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134186862","display_name":"Tongsu Wang","orcid":"https://orcid.org/0009-0009-9556-5728","observed_orcids":["https://orcid.org/0009-0009-9556-5728"]},"institutions":[{"id":"https://openalex.org/I4210110093","display_name":"Shenyang Environmental Protection Bureau","ror":"https://ror.org/01wm7qx64","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210110093"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tongsu Wang","raw_affiliation_strings":["Shenyang Aircraft Corporation (Group) Co., Ltd"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenyang Aircraft Corporation (Group) Co., Ltd","institution_ids":["https://openalex.org/I4210110093"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5127154548","display_name":"Xiaofeng Han","orcid":"https://orcid.org/0000-0003-1163-1863","observed_orcids":["https://orcid.org/0000-0003-1163-1863"]},"institutions":[{"id":"https://openalex.org/I4210110093","display_name":"Shenyang Environmental Protection Bureau","ror":"https://ror.org/01wm7qx64","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210110093"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaofeng Han","raw_affiliation_strings":["Shenyang Aircraft Corporation (Group) Co., Ltd"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenyang Aircraft Corporation (Group) Co., Ltd","institution_ids":["https://openalex.org/I4210110093"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025441627","display_name":"Zhaowei Zhu","orcid":"https://orcid.org/0000-0003-3894-5862","observed_orcids":["https://orcid.org/0000-0003-3894-5862"]},"institutions":[{"id":"https://openalex.org/I4210110093","display_name":"Shenyang Environmental Protection Bureau","ror":"https://ror.org/01wm7qx64","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210110093"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaowei Zhu","raw_affiliation_strings":["Shenyang Aircraft Corporation (Group) Co., Ltd"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenyang Aircraft Corporation (Group) Co., Ltd","institution_ids":["https://openalex.org/I4210110093"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210110093"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"570","last_page":"574"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9980000257492065,"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":0.9980000257492065,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.0008999999845400453,"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":9.999999747378752e-05,"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/remote-sensing-imagery","display_name":"remote sensing images","score":0.9319999814033508},{"id":"https://openalex.org/keywords/yolov8","display_name":"YOLOv8","score":0.9890000224113464},{"id":"https://openalex.org/keywords/siou-loss","display_name":"SIoU loss","score":0.8529999852180481},{"id":"https://openalex.org/keywords/bounding-box-regression","display_name":"bounding box regression","score":0.8040000200271606},{"id":"https://openalex.org/keywords/transfer-learning","display_name":"transfer learning","score":0.9750000238418579},{"id":"https://openalex.org/keywords/small-object-detection","display_name":"small object detection","score":0.7480000257492065},{"id":"https://openalex.org/keywords/multi-class-object-detection","display_name":"multi-class object detection","score":0.722000002861023},{"id":"https://openalex.org/keywords/aerial-surveillance","display_name":"aerial surveillance","score":0.7580000162124634}],"concepts":[{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.802299976348877},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.4020000100135803},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.39399999380111694},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2939000129699707},{"id":"https://openalex.org/C183365957","wikidata":"https://www.wikidata.org/wiki/Q17140402","display_name":"Remote sensing application","level":3,"score":0.2849000096321106},{"id":"https://openalex.org/C59519942","wikidata":"https://www.wikidata.org/wiki/Q650665","display_name":"Drone","level":2,"score":0.28189998865127563},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.2745000123977661},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2578999996185303},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.25780001282691956},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.25429999828338623},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.25209999084472656}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icetis70504.2026.11633391","doi":"https://doi.org/10.1109/icetis70504.2026.11633391","is_oa":true,"landing_page_url":"https://doi.org/10.1109/icetis70504.2026.11633391","pdf_url":null,"source":{"id":"https://openalex.org/S7407088874","display_name":"International Conference on Electronic Technology and Information Science (ICETIS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 11th International Conference on Electronic Technology and Information Science (ICETIS)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1109/icetis70504.2026.11633391","doi":"https://doi.org/10.1109/icetis70504.2026.11633391","is_oa":true,"landing_page_url":"https://doi.org/10.1109/icetis70504.2026.11633391","pdf_url":null,"source":{"id":"https://openalex.org/S7407088874","display_name":"International Conference on Electronic Technology and Information Science (ICETIS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 11th International Conference on Electronic Technology and Information Science (ICETIS)","raw_type":"proceedings-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2017014096","https://openalex.org/W2395579298","https://openalex.org/W2412558220","https://openalex.org/W2601810754","https://openalex.org/W2789522858","https://openalex.org/W2952122856","https://openalex.org/W2984243831","https://openalex.org/W4226323522","https://openalex.org/W4313591552","https://openalex.org/W4390873076","https://openalex.org/W4402661172","https://openalex.org/W4415795831"],"related_works":["https://openalex.org/W7164941611","https://openalex.org/W4362569906","https://openalex.org/W4391992372","https://openalex.org/W7213561468","https://openalex.org/W6941433595","https://openalex.org/W4403060683","https://openalex.org/W7164915101","https://openalex.org/W7216461049","https://openalex.org/W7212177100","https://openalex.org/W3154625005"],"abstract_inverted_index":{"Remote":[0],"sensing":[1,31,197],"military":[2,198],"aircraft":[3,27,58,115,199],"detection":[4,34,54,171,185,200],"plays":[5],"an":[6,51],"important":[7],"role":[8],"in":[9,29],"aerial":[10],"surveillance":[11],"and":[12,23,41,80,91,96,109,143,162,187],"intelligent":[13],"reconnaissance.":[14],"Due":[15],"to":[16,76,104,195],"complex":[17],"background":[18],"interference,":[19],"diverse":[20],"target":[21],"scales":[22],"dense":[24],"distribution":[25],"of":[26,130,173],"objects":[28],"remote":[30,196],"images,":[32],"traditional":[33],"methods":[35],"often":[36],"suffer":[37],"from":[38,154],"low":[39],"accuracy":[40,112,186],"poor":[42],"generalization.":[43],"To":[44],"address":[45],"these":[46],"problems,":[47],"this":[48],"paper":[49],"proposes":[50],"improved":[52,132,181],"YOLOv8":[53,137,182],"method":[55],"for":[56,113],"multi-class":[57],"recognition":[59],"based":[60],"on":[61,121],"the":[62,101,122,128,169,180],"MAR20":[63,123],"dataset.":[64,124],"Three":[65],"effective":[66],"optimization":[67],"strategies":[68],"are":[69,119,151],"adopted:":[70],"composite":[71],"data":[72],"augmentation":[73],"is":[74],"used":[75],"enrich":[77],"sample":[78],"diversity":[79],"suppress":[81],"overfitting;":[82],"transfer":[83],"learning":[84],"with":[85],"pre-trained":[86],"weights":[87],"accelerates":[88],"network":[89],"convergence":[90],"extracts":[92],"robust":[93],"visual":[94],"features;":[95],"SIoU":[97],"loss":[98],"function":[99],"replaces":[100],"original":[102],"CIoU":[103],"optimize":[105],"bounding":[106],"box":[107],"regression":[108],"enhance":[110],"localization":[111],"small":[114],"targets.":[116],"Comprehensive":[117],"experiments":[118,126,135],"conducted":[120],"Ablation":[125],"verify":[127],"effectiveness":[129],"each":[131],"module.":[133],"Comparative":[134],"among":[136],"series":[138],"models":[139],"(YOLOv8-N,":[140],"YOLOv8-S,":[141],"YOLOv8-M)":[142],"different":[144],"YOLO":[145],"versions":[146],"(YOLOv5,":[147],"v8,":[148],"v10,":[149],"v11)":[150],"carried":[152],"out":[153],"multiple":[155],"evaluation":[156],"metrics":[157],"including":[158],"Precision,":[159],"Recall,":[160],"mAP@0.5":[161],"mAP@0.5:0.95.":[163],"Qualitative":[164],"visualization":[165],"results":[166,177],"further":[167],"demonstrate":[168],"superior":[170],"performance":[172],"our":[174],"method.":[175],"Experimental":[176],"show":[178],"that":[179],"achieves":[183],"favorable":[184],"strong":[188],"robustness,":[189],"which":[190],"can":[191],"be":[192],"well":[193],"applied":[194],"tasks.":[201]},"counts_by_year":[],"updated_date":"2026-11-08T12:12:28.789561","created_date":"2026-08-14T00:00:00"}
