{"id":"https://openalex.org/W7082644594","doi":"https://doi.org/10.1109/tgrs.2025.3612566","title":"A New Multiscale Superpixel Mamba for Hyperspectral Image Classification","display_name":"A New Multiscale Superpixel Mamba for Hyperspectral Image Classification","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W7082644594","doi":"https://doi.org/10.1109/tgrs.2025.3612566"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2025.3612566","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3612566","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":null,"display_name":"Yilin Duan","orcid":"https://orcid.org/0009-0001-1940-9581"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yilin Duan","raw_affiliation_strings":["School of Computer Science, China University of Geosciences, Wuhan, China"],"raw_orcid":"https://orcid.org/0009-0001-1940-9581","affiliations":[{"raw_affiliation_string":"School of Computer Science, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Long Yu","orcid":"https://orcid.org/0000-0002-2121-4978"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Long Yu","raw_affiliation_strings":["School of Automation Science and Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-2121-4978","affiliations":[{"raw_affiliation_string":"School of Automation Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jia Chen","orcid":"https://orcid.org/0000-0002-9896-1656"},"institutions":[{"id":"https://openalex.org/I43922553","display_name":"Wuhan University of Science and Technology","ror":"https://ror.org/00e4hrk88","country_code":"CN","type":"education","lineage":["https://openalex.org/I43922553"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jia Chen","raw_affiliation_strings":["School of Computer Science and Technology and Hubei Province Key Laboratory of Intelligent Information Processing and Real-Time Industrial System, Wuhan University of Science and Technology, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-9896-1656","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology and Hubei Province Key Laboratory of Intelligent Information Processing and Real-Time Industrial System, Wuhan University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I43922553"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Zhaozhao Zeng","orcid":null},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaozhao Zeng","raw_affiliation_strings":["School of Computer Science, China University of Geosciences, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jun Li","orcid":"https://orcid.org/0000-0003-1613-9448"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Li","raw_affiliation_strings":["School of Computer Science, China University of Geosciences, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0003-1613-9448","affiliations":[{"raw_affiliation_string":"School of Computer Science, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"last","author":{"id":null,"display_name":"Antonio Plaza","orcid":"https://orcid.org/0000-0002-9613-1659"},"institutions":[{"id":"https://openalex.org/I80606768","display_name":"Universidad de Extremadura","ror":"https://ror.org/0174shg90","country_code":"ES","type":"education","lineage":["https://openalex.org/I80606768"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Antonio Plaza","raw_affiliation_strings":["Department of Technology of Computers and Communications, Escuela Polit&#x00E9;cnica, Hyperspectral Computing Laboratory, University of Extremadura, C&#x00E1;ceres, Spain"],"raw_orcid":"https://orcid.org/0000-0002-9613-1659","affiliations":[{"raw_affiliation_string":"Department of Technology of Computers and Communications, Escuela Polit&#x00E9;cnica, Hyperspectral Computing Laboratory, University of Extremadura, C&#x00E1;ceres, Spain","institution_ids":["https://openalex.org/I80606768"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.0621,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.92055739,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"63","issue":null,"first_page":"1","last_page":"16"},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T13370","display_name":"Diverse Scientific and Economic Studies","score":0.07980000227689743,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T13370","display_name":"Diverse Scientific and Economic Studies","score":0.07980000227689743,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12527","display_name":"Chemistry and Stereochemistry Studies","score":0.016499999910593033,"subfield":{"id":"https://openalex.org/subfields/1605","display_name":"Organic Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14325","display_name":"Diverse Specialized Academic Research","score":0.015399999916553497,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.7164000272750854},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6488000154495239},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4830999970436096},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.45750001072883606},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.42890000343322754},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4009999930858612},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3776000142097473},{"id":"https://openalex.org/keywords/terrain","display_name":"Terrain","score":0.3411000072956085}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.722599983215332},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.7164000272750854},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6934000253677368},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6488000154495239},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4830999970436096},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.45750001072883606},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.42890000343322754},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4009999930858612},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3776000142097473},{"id":"https://openalex.org/C161840515","wikidata":"https://www.wikidata.org/wiki/Q186131","display_name":"Terrain","level":2,"score":0.3411000072956085},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.3221000134944916},{"id":"https://openalex.org/C2780648208","wikidata":"https://www.wikidata.org/wiki/Q3001793","display_name":"Land cover","level":3,"score":0.3212999999523163},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.31540000438690186},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.29319998621940613},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.28780001401901245},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.28700000047683716},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.28690001368522644},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2800000011920929},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.27970001101493835},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2750999927520752},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.25760000944137573},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.2522999942302704}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2025.3612566","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3612566","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/G1347867841","display_name":null,"funder_award_id":"[2024]-KJ0002","funder_id":"https://openalex.org/F4320335480","funder_display_name":"Guangzhou Municipal Science and Technology Project"},{"id":"https://openalex.org/G6154569742","display_name":null,"funder_award_id":"2024AFB105","funder_id":"https://openalex.org/F4320322186","funder_display_name":"Natural Science Foundation of Hubei Province"},{"id":"https://openalex.org/G6716103886","display_name":null,"funder_award_id":"T2225019","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"},{"id":"https://openalex.org/F4320322186","display_name":"Natural Science Foundation of Hubei Province","ror":null},{"id":"https://openalex.org/F4320335480","display_name":"Guangzhou Municipal Science and Technology Project","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W1950365613","https://openalex.org/W2018850895","https://openalex.org/W2118246710","https://openalex.org/W2764276316","https://openalex.org/W2808098982","https://openalex.org/W2904698365","https://openalex.org/W2913694414","https://openalex.org/W2914331134","https://openalex.org/W2947295162","https://openalex.org/W2963366243","https://openalex.org/W2963755276","https://openalex.org/W2991616716","https://openalex.org/W3040988483","https://openalex.org/W3049655825","https://openalex.org/W3088464175","https://openalex.org/W3094297360","https://openalex.org/W3107591966","https://openalex.org/W3138725786","https://openalex.org/W3214821343","https://openalex.org/W4210541032","https://openalex.org/W4210794570","https://openalex.org/W4283260867","https://openalex.org/W4297094428","https://openalex.org/W4386951377","https://openalex.org/W4387709423","https://openalex.org/W4388090054","https://openalex.org/W4390788261","https://openalex.org/W4392860315","https://openalex.org/W4392903274","https://openalex.org/W4397000037","https://openalex.org/W4400279352","https://openalex.org/W4400810737","https://openalex.org/W4401357628","https://openalex.org/W4401819987","https://openalex.org/W4402569939","https://openalex.org/W4403060848","https://openalex.org/W4403511252","https://openalex.org/W4403601086","https://openalex.org/W4403791029","https://openalex.org/W4405360462","https://openalex.org/W4406260720","https://openalex.org/W4406523797","https://openalex.org/W4406746504","https://openalex.org/W4408095223","https://openalex.org/W4408499345","https://openalex.org/W4409263216","https://openalex.org/W4411408511","https://openalex.org/W4413145633","https://openalex.org/W4414243662"],"related_works":[],"abstract_inverted_index":{"State-space":[0],"models":[1,113],"(SSMs),":[2],"particularly":[3,193],"the":[4,81,121,132],"Mamba":[5,64,78,95,158],"model,":[6],"have":[7],"recently":[8],"garnered":[9],"significant":[10],"attention":[11],"in":[12,53,190],"hyperspectral":[13],"image":[14],"(HSI)":[15],"classification":[16,69,191],"tasks":[17],"due":[18],"to":[19,22,46,130,142,166],"their":[20,44],"capability":[21],"model":[23],"global":[24,114,133],"dependencies":[25,73,115],"with":[26,38,159],"linear":[27],"computational":[28],"complexity.":[29],"However,":[30],"existing":[31],"SSM-based":[32],"approaches":[33],"predominantly":[34],"adopt":[35],"patch-based":[36],"strategies":[37],"single-scale":[39],"information,":[40],"which":[41],"inherently":[42],"limits":[43],"ability":[45],"effectively":[47],"characterize":[48],"boundary":[49],"structures":[50],"and":[51,88,92,105],"shapes":[52],"complex":[54,197],"land":[55],"cover":[56],"regions.":[57],"We":[58],"propose":[59,125],"a":[60,75,84,93,126,151,160],"novel":[61],"multiscale":[62,77,85,94,101,157,161],"superpixel":[63,86],"(MSMamba)":[65],"framework":[66],"for":[67],"HSI":[68,179],"that":[70,154,182],"captures":[71],"long-range":[72],"using":[74],"two-stage":[76],"structure.":[79],"In":[80,120],"first":[82],"stage,":[83,123],"generation":[87],"fusion":[89,128],"strategy":[90],"(MSSGF)":[91],"module":[96,112],"(MMamba)":[97],"are":[98,103],"introduced.":[99],"Specifically,":[100],"superpixels":[102],"fused":[104],"unfolded":[106],"into":[107],"bidirectional":[108],"sequences.":[109],"The":[110],"MMamba":[111,136],"through":[116],"cross-scale":[117],"sequence":[118],"unfolding.":[119],"second":[122],"we":[124],"multi-shape":[127],"mechanism":[129],"integrate":[131],"features":[134],"of":[135],"under":[137],"varying":[138],"shape":[139],"configurations,":[140],"aiming":[141],"reinforce":[143],"boundary-sensitive":[144],"representation":[145],"learning.":[146],"Additionally,":[147],"our":[148,183],"MSMamba":[149,184],"introduces":[150],"dual-branch":[152],"architecture":[153],"synergistically":[155],"integrates":[156],"spectral-spatial":[162,170],"convolutional":[163],"network":[164],"(SSCNN)":[165],"enhance":[167],"fine-grained":[168],"local":[169],"details.":[171],"Extensive":[172],"experiments":[173],"conducted":[174],"on":[175],"four":[176],"publicly":[177],"available":[178],"datasets":[180],"demonstrate":[181],"method":[185],"significantly":[186],"outperforms":[187],"related":[188],"methods":[189],"performance,":[192],"excelling":[194],"at":[195],"identifying":[196],"terrain":[198],"boundaries.":[199]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-01-17T23:10:49.606395","created_date":"2025-10-10T00:00:00"}
