{"id":"https://openalex.org/W4207064056","doi":"https://doi.org/10.3390/rs14030516","title":"An Adaptive Attention Fusion Mechanism Convolutional Network for Object Detection in Remote Sensing Images","display_name":"An Adaptive Attention Fusion Mechanism Convolutional Network for Object Detection in Remote Sensing Images","publication_year":2022,"publication_date":"2022-01-21","ids":{"openalex":"https://openalex.org/W4207064056","doi":"https://doi.org/10.3390/rs14030516"},"language":"en","primary_location":{"id":"doi:10.3390/rs14030516","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14030516","pdf_url":"https://www.mdpi.com/2072-4292/14/3/516/pdf?version=1643001744","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/14/3/516/pdf?version=1643001744","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5079586899","display_name":"Yuanxin Ye","orcid":"https://orcid.org/0000-0001-6843-6722"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanxin Ye","raw_affiliation_strings":["Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 610031, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 610031, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091108887","display_name":"Xiaoyue Ren","orcid":null},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyue Ren","raw_affiliation_strings":["Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 610031, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 610031, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101777234","display_name":"Bai Zhu","orcid":"https://orcid.org/0000-0002-3251-2452"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bai Zhu","raw_affiliation_strings":["Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 610031, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 610031, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074933205","display_name":"Tengfeng Tang","orcid":"https://orcid.org/0000-0002-7709-1882"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tengfeng Tang","raw_affiliation_strings":["Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 610031, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 610031, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080281882","display_name":"Xin Tan","orcid":"https://orcid.org/0000-0001-9346-1196"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Tan","raw_affiliation_strings":["Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 610031, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 610031, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046785205","display_name":"Yang Gui","orcid":null},"institutions":[{"id":"https://openalex.org/I15089104","display_name":"China Aerospace Science and Industry Corporation (China)","ror":"https://ror.org/0523vvf33","country_code":"CN","type":"company","lineage":["https://openalex.org/I15089104"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Gui","raw_affiliation_strings":["The 9th System Design Department of China Areospace Science Industry Corporation, Wuhan 430000, China"],"affiliations":[{"raw_affiliation_string":"The 9th System Design Department of China Areospace Science Industry Corporation, Wuhan 430000, China","institution_ids":["https://openalex.org/I15089104"]}]},{"author_position":"last","author":{"id":null,"display_name":"Qin Yao","orcid":null},"institutions":[{"id":"https://openalex.org/I4210151975","display_name":"Northwest Institute of Nuclear Technology","ror":"https://ror.org/04svrh266","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210151975"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qin Yao","raw_affiliation_strings":["Northwest Institute of Nuclear Technology, Xi\u2019an 710025, China","Northwest Institute of Nuclear Technology, Xi'an 710025, China"],"affiliations":[{"raw_affiliation_string":"Northwest Institute of Nuclear Technology, Xi\u2019an 710025, China","institution_ids":["https://openalex.org/I4210151975"]},{"raw_affiliation_string":"Northwest Institute of Nuclear Technology, Xi'an 710025, China","institution_ids":["https://openalex.org/I4210151975"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210151975"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":7.963,"has_fulltext":false,"cited_by_count":79,"citation_normalized_percentile":{"value":0.98343349,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"14","issue":"3","first_page":"516","last_page":"516"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9983999729156494,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9961000084877014,"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/computer-science","display_name":"Computer science","score":0.8396441340446472},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6209491491317749},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.569980263710022},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5551695823669434},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.5202073454856873},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48680922389030457},{"id":"https://openalex.org/keywords/fusion-mechanism","display_name":"Fusion mechanism","score":0.45919573307037354},{"id":"https://openalex.org/keywords/minimum-bounding-box","display_name":"Minimum bounding box","score":0.4395586848258972},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4378890097141266},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4276805520057678},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.42402881383895874},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3878578841686249},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3294563889503479},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.28788769245147705},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2604219913482666}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8396441340446472},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6209491491317749},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.569980263710022},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5551695823669434},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.5202073454856873},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48680922389030457},{"id":"https://openalex.org/C173414695","wikidata":"https://www.wikidata.org/wiki/Q5510276","display_name":"Fusion mechanism","level":4,"score":0.45919573307037354},{"id":"https://openalex.org/C147037132","wikidata":"https://www.wikidata.org/wiki/Q6865426","display_name":"Minimum bounding box","level":3,"score":0.4395586848258972},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4378890097141266},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4276805520057678},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.42402881383895874},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3878578841686249},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3294563889503479},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.28788769245147705},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2604219913482666},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C103038307","wikidata":"https://www.wikidata.org/wiki/Q6556360","display_name":"Lipid bilayer fusion","level":3,"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs14030516","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14030516","pdf_url":"https://www.mdpi.com/2072-4292/14/3/516/pdf?version=1643001744","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:84ffb781c41d4100a54f2bfbccc05f5b","is_oa":true,"landing_page_url":"https://doaj.org/article/84ffb781c41d4100a54f2bfbccc05f5b","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 14, Iss 3, p 516 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/14/3/516/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs14030516","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing; Volume 14; Issue 3; Pages: 516","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs14030516","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14030516","pdf_url":"https://www.mdpi.com/2072-4292/14/3/516/pdf?version=1643001744","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5833348631","display_name":null,"funder_award_id":"41971281","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":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4207064056.pdf","grobid_xml":"https://content.openalex.org/works/W4207064056.grobid-xml"},"referenced_works_count":43,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1536680647","https://openalex.org/W1875039768","https://openalex.org/W1902237438","https://openalex.org/W2027282554","https://openalex.org/W2088049833","https://openalex.org/W2102605133","https://openalex.org/W2161969291","https://openalex.org/W2193145675","https://openalex.org/W2271799811","https://openalex.org/W2790979755","https://openalex.org/W2804436788","https://openalex.org/W2884585870","https://openalex.org/W2887116847","https://openalex.org/W2951527505","https://openalex.org/W2962766617","https://openalex.org/W2963037989","https://openalex.org/W2963129413","https://openalex.org/W2963163009","https://openalex.org/W2963420686","https://openalex.org/W2963918968","https://openalex.org/W2987144017","https://openalex.org/W2988908888","https://openalex.org/W2989604896","https://openalex.org/W2997747012","https://openalex.org/W3012573144","https://openalex.org/W3013696364","https://openalex.org/W3016641475","https://openalex.org/W3018757597","https://openalex.org/W3034552520","https://openalex.org/W3034971973","https://openalex.org/W3046857037","https://openalex.org/W3099347747","https://openalex.org/W3106250896","https://openalex.org/W3130965384","https://openalex.org/W3133701379","https://openalex.org/W3168632179","https://openalex.org/W3171142552","https://openalex.org/W3173399583","https://openalex.org/W3185918565","https://openalex.org/W3200493442","https://openalex.org/W6682137061","https://openalex.org/W6801393287"],"related_works":["https://openalex.org/W2810679507","https://openalex.org/W4327500857","https://openalex.org/W2969228573","https://openalex.org/W4311223090","https://openalex.org/W1689909837","https://openalex.org/W2965994363","https://openalex.org/W4205729548","https://openalex.org/W1895541646","https://openalex.org/W4301521271","https://openalex.org/W2889698616"],"abstract_inverted_index":{"For":[0],"remote":[1],"sensing":[2],"object":[3,61],"detection,":[4],"fusing":[5],"the":[6,13,24,50,58,65,84,91,108,111,119,123,136,145,149,154,160,171,176,183,196,210],"optimal":[7,146],"feature":[8,125,157],"information":[9,121],"automatically":[10],"and":[11,89,131,139,208,215],"overcoming":[12],"sensitivity":[14],"to":[15,57,69,152,169],"adapt":[16],"multi-scale":[17,87],"objects":[18,74,88],"remains":[19],"a":[20,33,79,100],"significant":[21],"challenge":[22],"for":[23],"existing":[25],"convolutional":[26,34],"neural":[27],"networks.":[28],"Given":[29],"this,":[30],"we":[31],"develop":[32],"network":[35,52],"model":[36,45,103],"with":[37,191],"an":[38],"adaptive":[39,112],"attention":[40,102,113,141],"fusion":[41,114,150],"mechanism":[42],"(AAFM).":[43],"The":[44,179],"is":[46,67,104,127,167],"proposed":[47,211],"based":[48],"on":[49],"backbone":[51],"of":[53,60,75,86,110,122,182],"EfficientDet.":[54],"Firstly,":[55],"according":[56],"characteristics":[59],"distribution":[62],"in":[63,107,144],"datasets,":[64],"stitcher":[66],"applied":[68],"make":[70,170],"one":[71],"image":[72,185],"containing":[73],"various":[76],"scales.":[77],"Such":[78],"process":[80],"can":[81],"effectively":[82],"balance":[83],"proportion":[85],"handle":[90],"scale-variable":[92],"properties.":[93],"In":[94,116],"addition,":[95],"inspired":[96],"by":[97,148],"channel":[98,140],"attention,":[99],"spatial":[101,138],"also":[105],"introduced":[106],"construction":[109],"mechanism.":[115],"this":[117],"mechanism,":[118],"semantic":[120],"different":[124,132],"maps":[126],"obtained":[128],"via":[129],"convolution":[130],"pooling":[133],"operations.":[134],"Then,":[135],"parallel":[137],"are":[142],"fused":[143],"proportions":[147],"factors":[151],"get":[153],"further":[155],"representative":[156],"information.":[158],"Finally,":[159],"Complete":[161],"Intersection":[162],"over":[163],"Union":[164],"(CIoU)":[165],"loss":[166],"used":[168],"bounding":[172],"box":[173],"better":[174],"cover":[175],"ground":[177],"truth.":[178],"experimental":[180],"results":[181],"optical":[184],"dataset":[186],"DIOR":[187],"demonstrate":[188],"that,":[189],"compared":[190],"state-of-the-art":[192],"detectors":[193],"such":[194],"as":[195],"Single":[197],"Shot":[198],"multibox":[199],"Detector":[200],"(SSD),":[201],"You":[202],"Only":[203],"Look":[204],"Once":[205],"(YOLO)":[206],"v4,":[207],"EfficientDet,":[209],"module":[212],"improves":[213],"accuracy":[214],"has":[216],"stronger":[217],"robustness.":[218]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":19},{"year":2024,"cited_by_count":20},{"year":2023,"cited_by_count":31},{"year":2022,"cited_by_count":8}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}