{"id":"https://openalex.org/W7117476795","doi":"https://doi.org/10.1109/taes.2025.3649185","title":"Foundation Model-Based Auxiliary Framework for Object Detection in Aerial Remote Sensing Images","display_name":"Foundation Model-Based Auxiliary Framework for Object Detection in Aerial Remote Sensing Images","publication_year":2025,"publication_date":"2025-12-29","ids":{"openalex":"https://openalex.org/W7117476795","doi":"https://doi.org/10.1109/taes.2025.3649185"},"language":null,"primary_location":{"id":"doi:10.1109/taes.2025.3649185","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taes.2025.3649185","pdf_url":null,"source":{"id":"https://openalex.org/S193624734","display_name":"IEEE Transactions on Aerospace and Electronic Systems","issn_l":"0018-9251","issn":["0018-9251","1557-9603","2371-9877"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Aerospace and Electronic Systems","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/A5086597694","display_name":"Wanjie Lu","orcid":"https://orcid.org/0000-0002-7210-7670"},"institutions":[{"id":"https://openalex.org/I169689159","display_name":"PLA Information Engineering University","ror":"https://ror.org/00mm1qk40","country_code":"CN","type":"education","lineage":["https://openalex.org/I169689159"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wanjie Lu","raw_affiliation_strings":["Institute of Data and Target Engineering, Information Engineering University, Zhengzhou, China"],"affiliations":[{"raw_affiliation_string":"Institute of Data and Target Engineering, Information Engineering University, Zhengzhou, China","institution_ids":["https://openalex.org/I169689159"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121468057","display_name":"Chaoyang Niu","orcid":null},"institutions":[{"id":"https://openalex.org/I169689159","display_name":"PLA Information Engineering University","ror":"https://ror.org/00mm1qk40","country_code":"CN","type":"education","lineage":["https://openalex.org/I169689159"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chaoyang Niu","raw_affiliation_strings":["Institute of Data and Target Engineering, Information Engineering University, Zhengzhou, China"],"affiliations":[{"raw_affiliation_string":"Institute of Data and Target Engineering, Information Engineering University, Zhengzhou, China","institution_ids":["https://openalex.org/I169689159"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121501820","display_name":"Wei Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I169689159","display_name":"PLA Information Engineering University","ror":"https://ror.org/00mm1qk40","country_code":"CN","type":"education","lineage":["https://openalex.org/I169689159"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Liu","raw_affiliation_strings":["Institute of Data and Target Engineering, Information Engineering University, Zhengzhou, China"],"affiliations":[{"raw_affiliation_string":"Institute of Data and Target Engineering, Information Engineering University, Zhengzhou, China","institution_ids":["https://openalex.org/I169689159"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102949379","display_name":"Chaozhen Lan","orcid":null},"institutions":[{"id":"https://openalex.org/I169689159","display_name":"PLA Information Engineering University","ror":"https://ror.org/00mm1qk40","country_code":"CN","type":"education","lineage":["https://openalex.org/I169689159"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chaozhen Lan","raw_affiliation_strings":["Institute of Data and Target Engineering, Information Engineering University, Zhengzhou, China"],"affiliations":[{"raw_affiliation_string":"Institute of Data and Target Engineering, Information Engineering University, Zhengzhou, China","institution_ids":["https://openalex.org/I169689159"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028827603","display_name":"Shiju Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I169689159","display_name":"PLA Information Engineering University","ror":"https://ror.org/00mm1qk40","country_code":"CN","type":"education","lineage":["https://openalex.org/I169689159"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiju Wang","raw_affiliation_strings":["Institute of Data and Target Engineering, Information Engineering University, Zhengzhou, China"],"affiliations":[{"raw_affiliation_string":"Institute of Data and Target Engineering, Information Engineering University, Zhengzhou, China","institution_ids":["https://openalex.org/I169689159"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5086597694"],"corresponding_institution_ids":["https://openalex.org/I169689159"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.66992162,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"62","issue":null,"first_page":"3736","last_page":"3757"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.5936999917030334,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.5936999917030334,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.30570000410079956,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.016100000590085983,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/fuse","display_name":"Fuse (electrical)","score":0.7059000134468079},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6607000231742859},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6265000104904175},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5756000280380249},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5078999996185303},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.44530001282691956},{"id":"https://openalex.org/keywords/foundation","display_name":"Foundation (evidence)","score":0.3564999997615814}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7896000146865845},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.7059000134468079},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6607000231742859},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6265000104904175},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5756000280380249},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5078999996185303},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48179998993873596},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4465999901294708},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.44530001282691956},{"id":"https://openalex.org/C2780966255","wikidata":"https://www.wikidata.org/wiki/Q5474306","display_name":"Foundation (evidence)","level":2,"score":0.3564999997615814},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.3546999990940094},{"id":"https://openalex.org/C2776429412","wikidata":"https://www.wikidata.org/wiki/Q4688011","display_name":"Aerial image","level":3,"score":0.34709998965263367},{"id":"https://openalex.org/C183365957","wikidata":"https://www.wikidata.org/wiki/Q17140402","display_name":"Remote sensing application","level":3,"score":0.3418000042438507},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32179999351501465},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3118000030517578},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.3084999918937683},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.30480000376701355},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.29840001463890076},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.27160000801086426},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.2667999863624573},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.26440000534057617}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/taes.2025.3649185","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taes.2025.3649185","pdf_url":null,"source":{"id":"https://openalex.org/S193624734","display_name":"IEEE Transactions on Aerospace and Electronic Systems","issn_l":"0018-9251","issn":["0018-9251","1557-9603","2371-9877"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Aerospace and Electronic Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8111499325","display_name":null,"funder_award_id":"42201472","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":66,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W2108598243","https://openalex.org/W2296151615","https://openalex.org/W2883780447","https://openalex.org/W2884561390","https://openalex.org/W2962749812","https://openalex.org/W2962772649","https://openalex.org/W2963125010","https://openalex.org/W2963163009","https://openalex.org/W2982083293","https://openalex.org/W2982770724","https://openalex.org/W2983943451","https://openalex.org/W2992240579","https://openalex.org/W3131500599","https://openalex.org/W3138516171","https://openalex.org/W3144483443","https://openalex.org/W3172942063","https://openalex.org/W3175515048","https://openalex.org/W3190492058","https://openalex.org/W3203350115","https://openalex.org/W4214644404","https://openalex.org/W4226359564","https://openalex.org/W4288391486","https://openalex.org/W4312443924","https://openalex.org/W4312446817","https://openalex.org/W4312671791","https://openalex.org/W4312769570","https://openalex.org/W4312795296","https://openalex.org/W4312986923","https://openalex.org/W4313156423","https://openalex.org/W4313170858","https://openalex.org/W4315705623","https://openalex.org/W4320036893","https://openalex.org/W4320036918","https://openalex.org/W4362692084","https://openalex.org/W4367333248","https://openalex.org/W4385346076","https://openalex.org/W4386076083","https://openalex.org/W4386076493","https://openalex.org/W4386825235","https://openalex.org/W4386825420","https://openalex.org/W4387026640","https://openalex.org/W4388627125","https://openalex.org/W4389358852","https://openalex.org/W4390284969","https://openalex.org/W4390872394","https://openalex.org/W4390872550","https://openalex.org/W4390872670","https://openalex.org/W4390874379","https://openalex.org/W4391311406","https://openalex.org/W4391953404","https://openalex.org/W4393002303","https://openalex.org/W4393906060","https://openalex.org/W4396629505","https://openalex.org/W4396982199","https://openalex.org/W4399344797","https://openalex.org/W4401544474","https://openalex.org/W4401726555","https://openalex.org/W4402536261","https://openalex.org/W4402667905","https://openalex.org/W4402703046","https://openalex.org/W4402843818","https://openalex.org/W4402917173","https://openalex.org/W4407900627","https://openalex.org/W4413554243","https://openalex.org/W7133217440"],"related_works":[],"abstract_inverted_index":{"When":[0],"lightweight":[1,69,118,128,167,203],"backbones":[2,70,129,168,204,241],"pretrained":[3,48],"on":[4,49,75,154,192],"natural":[5],"scene":[6],"datasets":[7,53,77,157],"are":[8,47],"applied":[9],"to":[10,66,71,86,106,143,186,213,234],"object":[11],"detection":[12,20],"in":[13,123],"aerial":[14],"remote":[15,42,51],"sensing":[16,43,52],"images":[17],"(ARSIs),":[18],"the":[19,30,82,108,112,117,121,145,149,163,174,193,199,207,223,226,237,245],"performance":[21,74,164,183,200,238],"varies":[22],"significantly.":[23],"This":[24],"variation":[25],"stems":[26],"from":[27,96,116],"factors":[28],"including":[29],"data":[31],"domain":[32],"gap,":[33],"dataset":[34],"scale,":[35],"training":[36],"configuration,":[37],"and":[38,54,92,138,196,242,247],"model":[39],"architecture.":[40],"Since":[41],"foundation":[44,100],"models":[45],"(RSFMs)":[46],"large-scale":[50],"exhibit":[55],"strong":[56],"feature":[57,101,136],"extraction":[58],"capabilities,":[59],"we":[60],"propose":[61],"an":[62],"RSFM-based":[63,176,228],"auxiliary":[64,177,229],"framework":[65],"enable":[67],"existing":[68,240,250],"achieve":[72],"enhanced":[73,211],"ARSI":[76,132,156],"of":[78,126,148,158,165,188,201,215,225,239,249],"varying":[79],"scales.":[80],"Specifically,":[81,191],"RSFM":[83,113],"is":[84,104,141,169,184,209],"leveraged":[85],"efficiently":[87],"extract":[88],"features":[89,109],"with":[90,114,173,206],"robust":[91],"rich":[93],"representational":[94,124,146],"capabilities":[95],"input":[97],"ARSIs.":[98],"A":[99],"fusion":[102],"module":[103,140],"designed":[105],"fuse":[107],"extracted":[110],"by":[111],"those":[115],"backbone,":[119],"addressing":[120],"inadequacy":[122],"capacity":[125],"various":[127,166],"when":[130,171],"extracting":[131],"features.":[133,151],"Furthermore,":[134],"a":[135],"aggregation":[137],"expansion":[139],"introduced":[142],"enhance":[144],"power":[147],"fused":[150],"Experimental":[152],"results":[153,221],"four":[155],"different":[159],"scales":[160],"demonstrate":[161],"that":[162,187,214],"improved":[170],"integrated":[172],"proposed":[175,227],"framework.":[178],"In":[179],"most":[180],"cases,":[181],"this":[182],"superior":[185],"larger-scale":[189],"networks.":[190],"DOTA":[194],"1.5":[195],"DIOR":[197],"datasets,":[198],"these":[202,220],"(integrated":[205],"framework)":[208],"significantly":[210],"compared":[212],"state-of-the-art":[216],"(SOTA)":[217],"models.":[218],"Collectively,":[219],"validate":[222],"effectiveness":[224],"framework,":[230],"confirming":[231],"its":[232],"ability":[233],"effectively":[235],"improve":[236],"thereby":[243],"facilitate":[244],"popularization":[246],"application":[248],"technical":[251],"advancements.":[252]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-12-29T00:00:00"}
