{"id":"https://openalex.org/W4399618753","doi":"https://doi.org/10.1109/lgrs.2024.3414293","title":"RS <sup>3</sup> Mamba: Visual State Space Model for Remote Sensing Image Semantic Segmentation","display_name":"RS <sup>3</sup> Mamba: Visual State Space Model for Remote Sensing Image Semantic Segmentation","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4399618753","doi":"https://doi.org/10.1109/lgrs.2024.3414293"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2024.3414293","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2024.3414293","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","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/A5055382963","display_name":"Xianping Ma","orcid":"https://orcid.org/0000-0002-2180-2964"},"institutions":[{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianping Ma","raw_affiliation_strings":["Future Network of Intelligence Institute (FNii), The Chinese University of Hong Kong, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-2180-2964","affiliations":[{"raw_affiliation_string":"Future Network of Intelligence Institute (FNii), The Chinese University of Hong Kong, Shenzhen, China","institution_ids":["https://openalex.org/I4210116924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100412323","display_name":"Xiaokang Zhang","orcid":"https://orcid.org/0000-0002-6127-4801"},"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":"Xiaokang Zhang","raw_affiliation_strings":["School of Information Science and Engineering, Wuhan University of Science and Technology, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-6127-4801","affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Wuhan University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I43922553"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040559125","display_name":"Man-On Pun","orcid":"https://orcid.org/0000-0003-3316-5381"},"institutions":[{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Man-On Pun","raw_affiliation_strings":["School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0003-3316-5381","affiliations":[{"raw_affiliation_string":"School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen, China","institution_ids":["https://openalex.org/I4210116924"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":52.8247,"has_fulltext":false,"cited_by_count":286,"citation_normalized_percentile":{"value":0.99979198,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"21","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9667999744415283,"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":0.9667999744415283,"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":0.9623000025749207,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9492999911308289,"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":0.6540266275405884},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5663530230522156},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5655689239501953},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5547929406166077},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5295164585113525},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.48248791694641113},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3945920467376709},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.1367998719215393}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6540266275405884},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5663530230522156},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5655689239501953},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5547929406166077},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5295164585113525},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.48248791694641113},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3945920467376709},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.1367998719215393}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2024.3414293","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2024.3414293","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4669320296","display_name":null,"funder_award_id":"42371374","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6007451038","display_name":null,"funder_award_id":"2022B1212010001","funder_id":"https://openalex.org/F4320329841","funder_display_name":"Guangdong Provincial Key Laboratory of Construction Foundation"},{"id":"https://openalex.org/G6396617273","display_name":null,"funder_award_id":"41801323","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/F4320329841","display_name":"Guangdong Provincial Key Laboratory of Construction Foundation","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W3127751679","https://openalex.org/W4225630686","https://openalex.org/W4283450732","https://openalex.org/W4386634500","https://openalex.org/W4389326242","https://openalex.org/W4390576780","https://openalex.org/W4391047432","https://openalex.org/W4391591546","https://openalex.org/W4391988120","https://openalex.org/W4392543906","https://openalex.org/W4394744750","https://openalex.org/W4399154429","https://openalex.org/W6859298233","https://openalex.org/W6861342692","https://openalex.org/W6861496656","https://openalex.org/W6861936464"],"related_works":["https://openalex.org/W2121524756","https://openalex.org/W782553550","https://openalex.org/W4379231730","https://openalex.org/W1987967678","https://openalex.org/W4389858081","https://openalex.org/W2633218168","https://openalex.org/W4235897794","https://openalex.org/W2059707233","https://openalex.org/W2095126257","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Semantic":[0],"segmentation":[1,76],"of":[2,55,108,151],"remote":[3,72,82],"sensing":[4,73,83],"images":[5],"is":[6,171],"a":[7,42,67,99,114,128],"fundamental":[8],"task":[9],"in":[10,149],"geoscience":[11],"research.":[12],"However,":[13],"convolutional":[14],"neural":[15],"networks":[16],"(CNNs)":[17],"and":[18,121,158,166],"transformers":[19],"have":[20],"some":[21],"significant":[22],"shortcomings.":[23],"The":[24,168],"former":[25],"are":[26,36],"limited":[27],"by":[28,38,50],"insufficient":[29],"long-range":[30,57],"modeling":[31,56],"capabilities,":[32],"while":[33],"the":[34,105,109,125,139,146],"latter":[35],"hampered":[37],"computational":[39],"complexity.":[40],"Recently,":[41],"novel":[43,68,129],"visual":[44],"state":[45],"space":[46],"(VSS)":[47],"model":[48],"represented":[49],"Mamba":[51,77],"has":[52],"emerged,":[53],"capable":[54],"relationships":[58],"with":[59,153],"linear":[60],"computability.":[61],"In":[62],"this":[63],"research,":[64],"we":[65,112],"propose":[66],"dual-branch":[69],"network":[70],"named":[71],"image":[74],"semantic":[75],"(RS3Mamba)":[78],"designed":[79],"specifically":[80],"for":[81],"tasks.":[84],"RS3Mamba":[85,141],"uses":[86],"VSS":[87],"blocks":[88],"to":[89,98,119,144],"construct":[90],"an":[91],"auxiliary":[92],"branch,":[93],"providing":[94],"additional":[95],"global":[96],"information":[97],"convolution-based":[100],"main":[101],"branch.":[102],"Moreover,":[103],"considering":[104],"distinct":[106],"characteristics":[107],"two":[110,135],"branches,":[111],"introduce":[113],"collaborative":[115],"completion":[116],"module":[117],"(CCM)":[118],"refine":[120],"fuse":[122],"features":[123],"from":[124],"dual-encoder":[126],"using":[127],"adaptive":[130],"mechanism.":[131],"Through":[132],"experiments":[133],"on":[134,155,160],"widely":[136],"used":[137],"datasets,":[138],"proposed":[140],"was":[142],"found":[143],"outperform":[145],"state-of-the-art":[147],"methods":[148],"terms":[150],"mIoU":[152],"0.66%":[154],"ISPRS":[156],"Vaihingen":[157],"1.70%":[159],"LoveDA":[161],"Urban,":[162],"demonstrating":[163],"its":[164],"effectiveness":[165],"potential.":[167],"source":[169],"code":[170],"available":[172],"at":[173],"<uri":[174],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[175],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/sstary/SSRS</uri>.":[176]},"counts_by_year":[{"year":2026,"cited_by_count":76},{"year":2025,"cited_by_count":174},{"year":2024,"cited_by_count":36}],"updated_date":"2026-07-20T07:56:41.581041","created_date":"2025-10-10T00:00:00"}