{"id":"https://openalex.org/W4402698583","doi":"https://doi.org/10.1109/lgrs.2024.3505193","title":"UNetMamba: An Efficient UNet-Like Mamba for Semantic Segmentation of High-Resolution Remote Sensing Images","display_name":"UNetMamba: An Efficient UNet-Like Mamba for Semantic Segmentation of High-Resolution Remote Sensing Images","publication_year":2024,"publication_date":"2024-11-25","ids":{"openalex":"https://openalex.org/W4402698583","doi":"https://doi.org/10.1109/lgrs.2024.3505193"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2024.3505193","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2024.3505193","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":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2408.11545","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Enze Zhu","orcid":"https://orcid.org/0009-0000-1717-5286"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Enze Zhu","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences (CAS), Beijing, China"],"raw_orcid":"https://orcid.org/0009-0000-1717-5286","affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences (CAS), Beijing, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103075722","display_name":"Zhan Chen","orcid":"https://orcid.org/0009-0002-6039-0584"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhan Chen","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences (CAS), Beijing, China"],"raw_orcid":"https://orcid.org/0009-0002-6039-0584","affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences (CAS), Beijing, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Dingkai Wang","orcid":"https://orcid.org/0009-0009-3978-8054"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dingkai Wang","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences (CAS), Beijing, China"],"raw_orcid":"https://orcid.org/0009-0009-3978-8054","affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences (CAS), Beijing, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053129731","display_name":"Hanru Shi","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hanru Shi","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences (CAS), Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences (CAS), Beijing, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100666862","display_name":"Xiaoxuan Liu","orcid":"https://orcid.org/0000-0002-1426-5056"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiaoxuan Liu","raw_affiliation_strings":["Key Laboratory of Target Cognition and Application Technology, CAS, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-1426-5056","affiliations":[{"raw_affiliation_string":"Key Laboratory of Target Cognition and Application Technology, CAS, Beijing, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100436015","display_name":"Lei Wang","orcid":"https://orcid.org/0000-0002-0470-4035"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lei Wang","raw_affiliation_strings":["Key Laboratory of Target Cognition and Application Technology, CAS, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Target Cognition and Application Technology, CAS, Beijing, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":12.363,"has_fulltext":true,"cited_by_count":57,"citation_normalized_percentile":{"value":0.9923653,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"22","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9810000061988831,"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"}},"topics":[{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9810000061988831,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9793000221252441,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9650999903678894,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6264520883560181},{"id":"https://openalex.org/keywords/high-resolution","display_name":"High resolution","score":0.5741261839866638},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5208088159561157},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4988698959350586},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.385515421628952},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3845157325267792},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.35587918758392334}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6264520883560181},{"id":"https://openalex.org/C3020199158","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"High resolution","level":2,"score":0.5741261839866638},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5208088159561157},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4988698959350586},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.385515421628952},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3845157325267792},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.35587918758392334}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/lgrs.2024.3505193","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2024.3505193","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"},{"id":"pmh:oai:arXiv.org:2408.11545","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2408.11545","pdf_url":"https://arxiv.org/pdf/2408.11545","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2408.11545","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2408.11545","pdf_url":"https://arxiv.org/pdf/2408.11545","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8272957118","display_name":null,"funder_award_id":"AIRCAS2024-AIRCAS-SDTP-03","funder_id":"https://openalex.org/F4320336736","funder_display_name":"Chengdu Science and Technology Program"}],"funders":[{"id":"https://openalex.org/F4320336736","display_name":"Chengdu Science and Technology Program","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4402698583.pdf","grobid_xml":"https://content.openalex.org/works/W4402698583.grobid-xml"},"referenced_works_count":20,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W3109998321","https://openalex.org/W3161825146","https://openalex.org/W3190334976","https://openalex.org/W4283450732","https://openalex.org/W4385245566","https://openalex.org/W4399154429","https://openalex.org/W4399618753","https://openalex.org/W4400238700","https://openalex.org/W4403067091","https://openalex.org/W6795463671","https://openalex.org/W6799579066","https://openalex.org/W6859298233","https://openalex.org/W6861213978","https://openalex.org/W6861342692","https://openalex.org/W6861387779","https://openalex.org/W6862087182","https://openalex.org/W6868066307","https://openalex.org/W6869812824","https://openalex.org/W6869825098"],"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":{"Semantic":[0],"segmentation":[1,53,62],"of":[2,90],"high-resolution":[3,73],"remote":[4],"sensing":[5],"images":[6],"is":[7,37,82,133],"vital":[8],"in":[9],"downstream":[10],"applications":[11],"such":[12],"as":[13],"land-cover":[14],"mapping,":[15],"urban":[16],"planning,":[17],"and":[18,30,75,110,126],"disaster":[19],"assessment.":[20],"Existing":[21],"Transformer-based":[22],"methods":[23,102],"suffer":[24],"from":[25],"the":[26,33,45,69,88,99,120],"constraint":[27],"between":[28],"accuracy":[29],"efficiency,":[31],"while":[32,115],"recently":[34],"proposed":[35],"Mamba":[36,61],"renowned":[38],"for":[39],"being":[40],"efficient.":[41],"Therefore,":[42],"to":[43],"overcome":[44],"dilemma,":[46],"we":[47],"propose":[48],"UNetMamba,":[49],"a":[50,60,76],"UNet-like":[51],"semantic":[52],"model":[54],"based":[55],"on":[56,108,112],"Mamba.":[57],"It":[58],"incorporates":[59],"decoder":[63],"(MSD)":[64],"that":[65,96],"can":[66,85],"efficiently":[67],"decode":[68],"complex":[70],"information":[71],"within":[72],"images,":[74],"local":[77,91],"supervision":[78],"module":[79],"(LSM),":[80],"which":[81],"train-only":[83],"but":[84],"significantly":[86],"enhance":[87],"perception":[89],"contents.":[92],"Extensive":[93],"experiments":[94],"demonstrate":[95],"UNetMamba":[97],"outperforms":[98],"state-of-the-art":[100],"(SOTA)":[101],"with":[103],"mIoU":[104],"increased":[105],"by":[106],"0.87%":[107],"LoveDA":[109],"0.39%":[111],"ISPRS":[113],"Vaihingen":[114],"achieving":[116],"high":[117],"efficiency":[118],"through":[119],"lightweight":[121],"design,":[122],"less":[123],"memory":[124],"footprint,":[125],"reduced":[127],"computational":[128],"cost.":[129],"The":[130],"source":[131],"code":[132],"available":[134],"at":[135],"<uri":[136],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[137],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/EnzeZhu2001/UNetMamba</uri>.":[138]},"counts_by_year":[{"year":2026,"cited_by_count":16},{"year":2025,"cited_by_count":41}],"updated_date":"2026-06-16T09:24:06.705377","created_date":"2025-10-10T00:00:00"}
