{"id":"https://openalex.org/W4406947007","doi":"https://doi.org/10.1109/tcsvt.2025.3535939","title":"MLMamba: A Mamba-Based Efficient Network for Multi-Label Remote Sensing Scene Classification","display_name":"MLMamba: A Mamba-Based Efficient Network for Multi-Label Remote Sensing Scene Classification","publication_year":2025,"publication_date":"2025-01-29","ids":{"openalex":"https://openalex.org/W4406947007","doi":"https://doi.org/10.1109/tcsvt.2025.3535939"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2025.3535939","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2025.3535939","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","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 of Ministry of Education, School of Artificial Intelligence, Xidian University, Xi’an, China","Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University, 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 of Ministry of Education, School of Artificial Intelligence, Xidian University, Xi’an, China","Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University, China"],"raw_orcid":"https://orcid.org/0000-0003-1375-0778","affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101449769","display_name":"Jingjing Ma","orcid":"https://orcid.org/0000-0001-7562-4262"},"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 of Ministry of Education, School of Artificial Intelligence, Xidian University, Xi’an, China","Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University, 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 of Ministry of Education, School of Artificial Intelligence, Xidian University, Xi’an, China","Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University, China"],"raw_orcid":"https://orcid.org/0000-0003-0379-2042","affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University, China","institution_ids":["https://openalex.org/I149594827"]}]},{"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 of Ministry of Education, School of Artificial Intelligence, Xidian University, Xi’an, China","Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University, China"],"raw_orcid":"https://orcid.org/0000-0003-3354-9617","affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":6.8437,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.97043535,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"35","issue":"7","first_page":"6245","last_page":"6258"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9922000169754028,"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":0.9922000169754028,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9199000000953674,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9027000069618225,"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":0.7043659090995789},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5071871280670166},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4473492503166199},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4085221588611603},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4067492187023163},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.12751427292823792}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7043659090995789},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5071871280670166},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4473492503166199},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4085221588611603},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4067492187023163},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.12751427292823792}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2025.3535939","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2025.3535939","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":71,"referenced_works":["https://openalex.org/W1980038761","https://openalex.org/W2194775991","https://openalex.org/W2515866431","https://openalex.org/W2561529111","https://openalex.org/W2579933644","https://openalex.org/W2766938848","https://openalex.org/W2809436351","https://openalex.org/W2884821995","https://openalex.org/W2932399282","https://openalex.org/W2958781163","https://openalex.org/W2982112268","https://openalex.org/W2986549485","https://openalex.org/W2999216803","https://openalex.org/W3080181119","https://openalex.org/W3094484482","https://openalex.org/W3111813289","https://openalex.org/W3134738404","https://openalex.org/W3138516171","https://openalex.org/W3158777740","https://openalex.org/W3174905907","https://openalex.org/W3205749498","https://openalex.org/W3208530345","https://openalex.org/W3209540366","https://openalex.org/W4210352024","https://openalex.org/W4210576848","https://openalex.org/W4213148575","https://openalex.org/W4214673031","https://openalex.org/W4226456028","https://openalex.org/W4288391342","https://openalex.org/W4313480169","https://openalex.org/W4313506322","https://openalex.org/W4317877833","https://openalex.org/W4321479797","https://openalex.org/W4378696930","https://openalex.org/W4379229760","https://openalex.org/W4379966927","https://openalex.org/W4380032284","https://openalex.org/W4380478936","https://openalex.org/W4381735275","https://openalex.org/W4384406330","https://openalex.org/W4386113239","https://openalex.org/W4389679125","https://openalex.org/W4389890907","https://openalex.org/W4389925359","https://openalex.org/W4390874143","https://openalex.org/W4391020451","https://openalex.org/W4392705161","https://openalex.org/W4393153066","https://openalex.org/W4394938913","https://openalex.org/W4399154429","https://openalex.org/W4399167868","https://openalex.org/W4399310901","https://openalex.org/W4399342419","https://openalex.org/W4399618753","https://openalex.org/W4400238700","https://openalex.org/W4400448280","https://openalex.org/W4400613682","https://openalex.org/W4401070841","https://openalex.org/W4402124974","https://openalex.org/W6755207826","https://openalex.org/W6791353385","https://openalex.org/W6798617289","https://openalex.org/W6859298233","https://openalex.org/W6861342692","https://openalex.org/W6861387779","https://openalex.org/W6862476165","https://openalex.org/W6862540275","https://openalex.org/W6863973777","https://openalex.org/W6868745460","https://openalex.org/W6869812824","https://openalex.org/W6873519621"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"As":[0],"a":[1,33,64,91,128,132],"useful":[2],"remote":[3],"sensing":[4],"(RS)":[5],"scene":[6,11],"interpretation":[7],"technique,":[8],"multi-label":[9,257],"RS":[10,25,35,60,157,190,212],"classification":[12],"(RSSC)":[13],"always":[14],"attracts":[15],"researchers\u2019":[16],"attention":[17],"and":[18,52,66,115,118,131,148,186,192,214,223,226,239,282],"plays":[19],"an":[20],"important":[21],"role":[22],"in":[23,278],"the":[24,42,48,54,59,80,97,108,160,163,208,221,231,262],"community.":[26],"To":[27,85],"assign":[28],"multiple":[29],"semantic":[30,56,134,194],"labels":[31],"to":[32,38,79,107,143,155],"single":[34],"image":[36],"according":[37],"its":[39],"complex":[40,209],"contents,":[41],"existing":[43,276],"methods":[44,277],"focus":[45],"on":[46,96,249,254],"learning":[47],"valuable":[49],"visual":[50,165],"features":[51],"mining":[53],"latent":[55],"relationships":[57,146,195],"from":[58,189],"images.":[61,158],"This":[62],"is":[63],"feasible":[65],"helpful":[67],"solution.":[68],"However,":[69],"they":[70],"are":[71,288],"often":[72],"associated":[73],"with":[74],"high":[75],"computational":[76,228,247,283],"costs":[77],"due":[78],"widespread":[81],"use":[82],"of":[83,124,162,230,264],"Transformers.":[84],"alleviate":[86],"this":[87],"problem,":[88],"we":[89],"propose":[90],"Mamba-based":[92],"efficient":[93],"network":[94,114],"based":[95],"newly":[98],"emerged":[99],"state":[100,232],"space":[101,233],"model":[102,234,280],"called":[103],"MLMamba.":[104,250,265],"In":[105],"addition":[106],"basic":[109],"feature":[110],"extractor":[111],"(convolutional":[112],"neural":[113],"language":[116],"model)":[117],"classifier":[119],"(multiple":[120],"perceptrons),":[121],"MLMamba":[122,204,271],"consists":[123],"two":[125,177],"key":[126],"components:":[127],"pyramid":[129,237],"Mamba":[130,139,168,238,241],"feature-guided":[133],"modeling":[135],"(FGSM)":[136],"Mamba.":[137],"Pyramid":[138],"uses":[140],"multi-scale":[141,184],"scanning":[142],"establish":[144],"global":[145],"within":[147,211],"across":[149],"different":[150,172,197],"scales,":[151],"improving":[152],"MLMamba\u2019s":[153],"ability":[154],"explore":[156],"Under":[159],"guidance":[161],"obtained":[164],"features,":[166,183],"FGSM":[167,240],"establishes":[169],"associations":[170],"between":[171,196],"land":[173],"covers.":[174,199],"Combining":[175],"these":[176],"components":[178],"can":[179,205],"deeply":[180],"mine":[181],"local":[182],"information,":[185],"long-range":[187],"dependencies":[188],"images":[191,213],"build":[193],"surface":[198],"These":[200],"superiorities":[201],"guarantee":[202],"that":[203,236,270],"fully":[206],"understand":[207],"contents":[210],"accurately":[215],"determine":[216],"which":[217],"categories":[218],"exist.":[219],"Furthermore,":[220],"simple":[222],"effective":[224],"structure":[225],"linear":[227],"complexity":[229],"ensure":[235],"will":[242],"not":[243],"impose":[244],"too":[245],"much":[246],"burden":[248],"Extensive":[251],"experiments":[252],"counted":[253],"three":[255],"benchmark":[256],"RSSC":[258],"data":[259],"sets":[260],"validate":[261],"effectiveness":[263],"The":[266],"positive":[267],"results":[268],"demonstrate":[269],"achieves":[272],"state-of-the-art":[273],"performance,":[274],"surpassing":[275],"accuracy,":[279],"size,":[281],"efficiency.":[284],"Our":[285],"source":[286],"codes":[287],"available":[289],"athttps://github.com/TangXu-Group/":[290],"multilabelRSSC/tree/main/MLMamba.":[291]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":10}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}