{"id":"https://openalex.org/W4405440263","doi":"https://doi.org/10.1109/tgrs.2024.3517672","title":"Semantic-Assisted Feature Integration Network for Multilabel Remote Sensing Scene Classification","display_name":"Semantic-Assisted Feature Integration Network for Multilabel Remote Sensing Scene Classification","publication_year":2024,"publication_date":"2024-12-16","ids":{"openalex":"https://openalex.org/W4405440263","doi":"https://doi.org/10.1109/tgrs.2024.3517672"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2024.3517672","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3517672","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Geoscience and Remote Sensing","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/A5066172133","display_name":"Ruiqi Du","orcid":null},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruiqi Du","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding, Ministry of Education, School of Artificial Intelligence, Xidian University, Xi&#x2019;an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding, Ministry of Education, School of Artificial Intelligence, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059262797","display_name":"Xu Tang","orcid":"https://orcid.org/0000-0003-1375-0778"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu Tang","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding, Ministry of Education, School of Artificial Intelligence, Xidian University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0003-1375-0778","affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding, Ministry of Education, School of Artificial Intelligence, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007754848","display_name":"Jingjing Ma","orcid":"https://orcid.org/0000-0002-4354-3692"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingjing Ma","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding, Ministry of Education, School of Artificial Intelligence, Xidian University, Xi&#x2019;an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding, Ministry of Education, School of Artificial Intelligence, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049776440","display_name":"Xiangrong Zhang","orcid":"https://orcid.org/0000-0003-0379-2042"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangrong Zhang","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding, Ministry of Education, School of Artificial Intelligence, Xidian University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0003-0379-2042","affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding, Ministry of Education, School of Artificial Intelligence, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100453033","display_name":"Fang Liu","orcid":"https://orcid.org/0000-0001-9752-9530"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fang Liu","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information, Ministry of Education, School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0001-9752-9530","affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information, Ministry of Education, School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050630882","display_name":"Licheng Jiao","orcid":"https://orcid.org/0000-0003-3354-9617"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Licheng Jiao","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding, Ministry of Education, School of Artificial Intelligence, Xidian University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0003-3354-9617","affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding, Ministry of Education, School of Artificial Intelligence, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0938,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.78644792,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"63","issue":null,"first_page":"1","last_page":"15"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9979000091552734,"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":0.9979000091552734,"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":0.9810000061988831,"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"}},{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9675999879837036,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental 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":0.778058648109436},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6471723914146423},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5598764419555664},{"id":"https://openalex.org/keywords/semantic-feature","display_name":"Semantic feature","score":0.472306489944458},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.45399200916290283},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44669389724731445},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.43087124824523926},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.16459563374519348}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.778058648109436},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6471723914146423},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5598764419555664},{"id":"https://openalex.org/C2781122975","wikidata":"https://www.wikidata.org/wiki/Q16928266","display_name":"Semantic feature","level":2,"score":0.472306489944458},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.45399200916290283},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44669389724731445},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.43087124824523926},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.16459563374519348},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2024.3517672","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3517672","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1147961060","display_name":null,"funder_award_id":"62276197","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4280920179","display_name":null,"funder_award_id":"2023-CX-TD-09","funder_id":"https://openalex.org/F4320326174","funder_display_name":"Shaanxi Province Postdoctoral Science Foundation"},{"id":"https://openalex.org/G5324547038","display_name":null,"funder_award_id":"62171332","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6970463474","display_name":null,"funder_award_id":"2024GX-YBXM-125","funder_id":"https://openalex.org/F4320336350","funder_display_name":"Key Research and Development Projects of Shaanxi Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320326174","display_name":"Shaanxi Province Postdoctoral Science Foundation","ror":null},{"id":"https://openalex.org/F4320336350","display_name":"Key Research and Development Projects of Shaanxi Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":75,"referenced_works":["https://openalex.org/W1980038761","https://openalex.org/W2132083787","https://openalex.org/W2187089797","https://openalex.org/W2194775991","https://openalex.org/W2295107390","https://openalex.org/W2515866431","https://openalex.org/W2579933644","https://openalex.org/W2766938848","https://openalex.org/W2809436351","https://openalex.org/W2884821995","https://openalex.org/W2914311543","https://openalex.org/W2932399282","https://openalex.org/W2958781163","https://openalex.org/W2964350391","https://openalex.org/W2986549485","https://openalex.org/W2999216803","https://openalex.org/W3018169007","https://openalex.org/W3080181119","https://openalex.org/W3091842132","https://openalex.org/W3102112912","https://openalex.org/W3105577662","https://openalex.org/W3109027749","https://openalex.org/W3109067582","https://openalex.org/W3111813289","https://openalex.org/W3132455321","https://openalex.org/W3134210100","https://openalex.org/W3134738404","https://openalex.org/W3138516171","https://openalex.org/W3158777740","https://openalex.org/W3174396085","https://openalex.org/W3174905907","https://openalex.org/W3175515048","https://openalex.org/W3194276233","https://openalex.org/W3205749498","https://openalex.org/W3208530345","https://openalex.org/W4210352024","https://openalex.org/W4210576848","https://openalex.org/W4214673031","https://openalex.org/W4225916372","https://openalex.org/W4283837671","https://openalex.org/W4288391342","https://openalex.org/W4307959803","https://openalex.org/W4311221116","https://openalex.org/W4312364622","https://openalex.org/W4312839074","https://openalex.org/W4313252101","https://openalex.org/W4316673363","https://openalex.org/W4321608008","https://openalex.org/W4367032246","https://openalex.org/W4376851287","https://openalex.org/W4379382506","https://openalex.org/W4380927854","https://openalex.org/W4382203374","https://openalex.org/W4382315199","https://openalex.org/W4382677675","https://openalex.org/W4384521492","https://openalex.org/W4384787738","https://openalex.org/W4385245566","https://openalex.org/W4385832256","https://openalex.org/W4386070925","https://openalex.org/W4386113239","https://openalex.org/W4386212336","https://openalex.org/W4386350456","https://openalex.org/W4386869631","https://openalex.org/W4387667833","https://openalex.org/W4389113716","https://openalex.org/W4389679125","https://openalex.org/W4389849171","https://openalex.org/W4389890877","https://openalex.org/W4389890907","https://openalex.org/W4390848649","https://openalex.org/W4399154429","https://openalex.org/W4400229704","https://openalex.org/W6637373629","https://openalex.org/W6781120326"],"related_works":["https://openalex.org/W2364155688","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/W2046522763"],"abstract_inverted_index":{"With":[0],"remote":[1],"sensing":[2],"(RS)":[3],"images\u2019":[4],"resolution":[5],"increasing,":[6],"a":[7,79,92,98,104,111,197,203],"single":[8],"scene":[9,20],"label":[10],"cannot":[11],"adequately":[12,231],"represent":[13],"RS":[14,19,66,127,178],"scenes\u2019":[15],"contents.":[16],"Therefore,":[17],"multilabel":[18],"classification":[21,158],"(MLRSSC)":[22],"is":[23],"gradually":[24],"attracting":[25],"the":[26,49,57,69,87,117,142,148,155,170,183,190,214,219,224,243],"researchers\u2019":[27],"attention.":[28],"Many":[29],"methods":[30,252],"have":[31,235],"been":[32,236],"proposed":[33],"recently,":[34],"and":[35,61,110,133,172,188,202,216,242],"most":[36],"use":[37],"deep":[38],"features":[39,125],"or":[40],"semantic":[41,100,131,198],"connections":[42],"to":[43,85,122,181],"complete":[44],"MLRSSC.":[45],"However,":[46],"they":[47],"ignore":[48],"combination":[50],"of":[51,65,71,157,185,213,218],"these":[52,72],"two":[53],"aspects.":[54],"In":[55,74],"addition,":[56],"high":[58],"interclass":[59],"similarity":[60,64],"low":[62],"intraclass":[63],"images":[67],"limit":[68],"robustness":[70],"methods.":[73],"this":[75],"article,":[76],"we":[77,195],"propose":[78],"semantic-assisted":[80],"feature":[81,94,143,192],"integration":[82],"network":[83],"(SFIN)":[84],"overcome":[86],"above":[88],"limitations.":[89],"It":[90],"contains":[91],"dual-scale":[93],"extractor":[95],"module":[96,102,108,113],"(DFEM),":[97],"local":[99],"enhance":[101,189],"(LSEM),":[103],"cross-scale":[105],"interactive":[106],"attention":[107],"(CIAM),":[109],"classifier":[112],"(CM).":[114],"DFEM":[115],"utilizes":[116],"convolutional":[118],"neural":[119],"networks":[120],"(CNNs)":[121],"extract":[123],"multiscale":[124],"from":[126],"images.":[128,179],"LSEM":[129],"extracts":[130],"information":[132],"establishes":[134],"their":[135],"relationships":[136],"at":[137],"different":[138,151],"scales.":[139,152],"CIAM":[140],"enhances":[141],"representation":[144],"by":[145],"interacting":[146],"with":[147,223],"clues":[149],"across":[150],"CM":[153],"completes":[154],"prediction":[156],"(CLA)":[159],"results.":[160],"Integrating":[161],"them":[162],"into":[163],"an":[164],"end-to-end":[165],"framework,":[166],"SFIN":[167,228,248],"can":[168,229],"discover":[169],"diverse":[171],"complex":[173],"land":[174],"covers":[175],"hidden":[176],"in":[177,211,253],"Furthermore,":[180],"ensure":[182],"accuracy":[184],"explored":[186],"semantics":[187],"SFIN\u2019s":[191],"extraction":[193],"ability,":[194],"design":[196],"supervision":[199],"(SS)":[200],"loss":[201],"semantic-based":[204],"contrastive":[205],"learning":[206],"(SB-CL)":[207],"loss.":[208],"They":[209],"are":[210,259],"charge":[212],"correctness":[215],"discrimination":[217],"mined":[220],"semantics.":[221],"Along":[222],"typical":[225],"CLA":[226],"loss,":[227],"be":[230],"trained.":[232],"Extensive":[233],"experiments":[234],"conducted":[237],"on":[238],"four":[239],"MLRSSC":[240,254],"datasets,":[241],"positive":[244],"results":[245],"demonstrate":[246],"that":[247],"outperforms":[249],"many":[250],"existing":[251],"tasks.":[255],"Our":[256],"source":[257],"codes":[258],"available":[260],"at:https://github.com/TangXu-Group/multilabelRSSC/tree/main/SFIN.":[261]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}
