{"id":"https://openalex.org/W4406612087","doi":"https://doi.org/10.1109/smc54092.2024.10831669","title":"MAFEN: Multiattention Feature Extraction Network for Remote Sensing Scene Classification","display_name":"MAFEN: Multiattention Feature Extraction Network for Remote Sensing Scene Classification","publication_year":2024,"publication_date":"2024-10-06","ids":{"openalex":"https://openalex.org/W4406612087","doi":"https://doi.org/10.1109/smc54092.2024.10831669"},"language":"en","primary_location":{"id":"doi:10.1109/smc54092.2024.10831669","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc54092.2024.10831669","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100609407","display_name":"Feng Cao","orcid":"https://orcid.org/0000-0001-5276-0026"},"institutions":[{"id":"https://openalex.org/I181877577","display_name":"Shanxi University","ror":"https://ror.org/03y3e3s17","country_code":"CN","type":"education","lineage":["https://openalex.org/I181877577"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Cao","raw_affiliation_strings":["School of Computer and Information Technology, Shanxi University,Taiyuan,China,030006"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Information Technology, Shanxi University,Taiyuan,China,030006","institution_ids":["https://openalex.org/I181877577"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Shuiyuan Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I181877577","display_name":"Shanxi University","ror":"https://ror.org/03y3e3s17","country_code":"CN","type":"education","lineage":["https://openalex.org/I181877577"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuiyuan Yang","raw_affiliation_strings":["School of Computer and Information Technology, Shanxi University,Taiyuan,China,030006"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Information Technology, Shanxi University,Taiyuan,China,030006","institution_ids":["https://openalex.org/I181877577"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100698996","display_name":"Deyu Li","orcid":"https://orcid.org/0000-0003-2489-9404"},"institutions":[{"id":"https://openalex.org/I181877577","display_name":"Shanxi University","ror":"https://ror.org/03y3e3s17","country_code":"CN","type":"education","lineage":["https://openalex.org/I181877577"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Deyu Li","raw_affiliation_strings":["School of Computer and Information Technology, Shanxi University,Taiyuan,China,030006"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Information Technology, Shanxi University,Taiyuan,China,030006","institution_ids":["https://openalex.org/I181877577"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025832538","display_name":"Chongben Tao","orcid":null},"institutions":[{"id":"https://openalex.org/I308837","display_name":"Suzhou University of Science and Technology","ror":"https://ror.org/04en8wb91","country_code":"CN","type":"education","lineage":["https://openalex.org/I308837"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chongben Tao","raw_affiliation_strings":["School of Electronic and Information Engineering, Suzhou University of Science and Technology,Suzhou,China,215009"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Suzhou University of Science and Technology,Suzhou,China,215009","institution_ids":["https://openalex.org/I308837"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4997","last_page":"5002"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9768999814987183,"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":0.9768999814987183,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9704999923706055,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7478370666503906},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.7461579442024231},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.59259432554245},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4471582770347595},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.442141056060791},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4224506616592407},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.38571763038635254},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.36127781867980957},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.11965605616569519},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.09464922547340393}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7478370666503906},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.7461579442024231},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.59259432554245},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4471582770347595},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.442141056060791},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4224506616592407},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38571763038635254},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.36127781867980957},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.11965605616569519},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.09464922547340393},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smc54092.2024.10831669","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc54092.2024.10831669","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.5600000023841858}],"awards":[{"id":"https://openalex.org/G1024521857","display_name":null,"funder_award_id":"62072291,62072294,62372317","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":28,"referenced_works":["https://openalex.org/W1980038761","https://openalex.org/W2078478672","https://openalex.org/W2515866431","https://openalex.org/W2592962403","https://openalex.org/W2610884537","https://openalex.org/W2618530766","https://openalex.org/W2744582969","https://openalex.org/W2790898247","https://openalex.org/W3047889186","https://openalex.org/W3094502228","https://openalex.org/W3119125170","https://openalex.org/W3138516171","https://openalex.org/W3163456103","https://openalex.org/W3201623325","https://openalex.org/W4213253308","https://openalex.org/W4214910799","https://openalex.org/W4220815323","https://openalex.org/W4226291728","https://openalex.org/W4285220262","https://openalex.org/W4285237417","https://openalex.org/W4285252402","https://openalex.org/W4285505614","https://openalex.org/W4288391342","https://openalex.org/W4312865736","https://openalex.org/W4313461217","https://openalex.org/W4379057378","https://openalex.org/W4383897138","https://openalex.org/W4392903076"],"related_works":["https://openalex.org/W2601157893","https://openalex.org/W2373006798","https://openalex.org/W2131735617","https://openalex.org/W2056912418","https://openalex.org/W2033213769","https://openalex.org/W4312376745","https://openalex.org/W2136016640","https://openalex.org/W2049538278","https://openalex.org/W2886173746","https://openalex.org/W4200043248"],"abstract_inverted_index":{"The":[0],"scene":[1,62,80,146,157],"classification":[2,34,63,158],"of":[3,17,45,64,107,123,132,152],"high-resolution":[4],"remote":[5,155],"sensing":[6,156],"images":[7],"(HRSIs)":[8],"provides":[9],"crucial":[10],"information":[11],"for":[12,60,145,154],"the":[13,18,33,43,46,61,79,91,98,105,120,124,130,150,167],"high-level":[14],"semantic":[15],"understanding":[16],"complicated":[19],"earth's":[20],"surface.":[21],"Some":[22],"existing":[23],"methods":[24,165],"concatenate":[25],"local":[26,74,92],"features":[27,30,77],"with":[28,162],"global":[29,76,94],"to":[31,72,89,118],"complete":[32],"task.":[35],"However,":[36],"simple":[37],"feature":[38,56,100,121,126],"concatenation":[39],"cannot":[40],"fully":[41],"exploit":[42],"advantages":[44],"above":[47],"two":[48],"features.":[49,95,111,134],"This":[50],"study":[51],"proposes":[52],"a":[53,67],"novel":[54],"multiattention":[55],"extraction":[57],"network":[58,69],"(MAFEN)":[59],"HRSIs.":[65],"First,":[66],"dual-branch":[68],"is":[70,87,116],"proposed":[71],"extract":[73],"and":[75,93,109],"from":[78],"images.":[81],"Subsequently,":[82],"an":[83,113],"interattention":[84],"fusion":[85,101,122],"module":[86,102],"utilized":[88],"merge":[90],"In":[96],"addition,":[97],"multilevel":[99],"helps":[103],"avoid":[104],"loss":[106,115],"shallow":[108],"middle-layer":[110],"Finally,":[112],"aggregated":[114],"employed":[117],"enhance":[119],"dual-stream":[125],"extractor":[127],"by":[128],"considering":[129],"contributions":[131],"different":[133],"Experimental":[135],"evaluations":[136],"are":[137],"conducted":[138],"on":[139],"three":[140],"widely":[141],"used":[142],"public":[143],"datasets":[144],"classification.":[147],"Results":[148],"confirm":[149],"potential":[151],"MAFEN":[153],"tasks":[159],"when":[160],"compared":[161],"currently":[163],"advanced":[164],"in":[166],"field.":[168]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}