{"id":"https://openalex.org/W4412722593","doi":"https://doi.org/10.1109/tgrs.2025.3593410","title":"MF-Mamba: Multiscale Convolution and Mamba Fusion Model for Semantic Segmentation of Remote Sensing Imagery","display_name":"MF-Mamba: Multiscale Convolution and Mamba Fusion Model for Semantic Segmentation of Remote Sensing Imagery","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4412722593","doi":"https://doi.org/10.1109/tgrs.2025.3593410"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2025.3593410","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3593410","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/A5101079974","display_name":"Xiao Pu","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":"Pu Xiao","raw_affiliation_strings":["School of Computer Science, China University of Geosciences, Wuhan, China"],"raw_orcid":"https://orcid.org/0009-0006-7173-0977","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":"https://openalex.org/A5070049638","display_name":"Yuting Dong","orcid":"https://orcid.org/0000-0002-8894-4318"},"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":"Yuting Dong","raw_affiliation_strings":["School of Geography and Information Engineering, China University of Geosciences, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-8894-4318","affiliations":[{"raw_affiliation_string":"School of Geography and Information Engineering, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041081010","display_name":"Ji Zhao","orcid":"https://orcid.org/0000-0001-9039-2789"},"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":"Ji Zhao","raw_affiliation_strings":["School of Computer Science, China University of Geosciences, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0001-9039-2789","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":"Tieqi Peng","orcid":"https://orcid.org/0009-0001-5021-2293"},"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":"Tieqi Peng","raw_affiliation_strings":["School of Computer Science, China University of Geosciences, Wuhan, China"],"raw_orcid":"https://orcid.org/0009-0001-5021-2293","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":"https://openalex.org/A5019520142","display_name":"Christian Gei\u00df","orcid":"https://orcid.org/0000-0002-7961-8553"},"institutions":[{"id":"https://openalex.org/I2898391981","display_name":"Deutsches Zentrum f\u00fcr Luft- und Raumfahrt e. V. (DLR)","ror":"https://ror.org/04bwf3e34","country_code":"DE","type":"facility","lineage":["https://openalex.org/I1305996414","https://openalex.org/I2898391981"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Christian Gei\u00df","raw_affiliation_strings":["German Aerospace Center (DLR), German Remote Sensing Data Center (DFD), Oberpfaffenhofen, Germany"],"raw_orcid":"https://orcid.org/0000-0002-7961-8553","affiliations":[{"raw_affiliation_string":"German Aerospace Center (DLR), German Remote Sensing Data Center (DFD), Oberpfaffenhofen, Germany","institution_ids":["https://openalex.org/I2898391981"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100754351","display_name":"Yanfei Zhong","orcid":"https://orcid.org/0000-0001-9446-5850"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanfei Zhong","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0001-9446-5850","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210118728"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046449632","display_name":"Hannes Taubenb\u00f6ck","orcid":"https://orcid.org/0000-0003-4360-9126"},"institutions":[{"id":"https://openalex.org/I2898391981","display_name":"Deutsches Zentrum f\u00fcr Luft- und Raumfahrt e. V. (DLR)","ror":"https://ror.org/04bwf3e34","country_code":"DE","type":"facility","lineage":["https://openalex.org/I1305996414","https://openalex.org/I2898391981"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Hannes Taubenb\u00f6ck","raw_affiliation_strings":["German Aerospace Center (DLR), German Remote Sensing Data Center (DFD), Oberpfaffenhofen, Germany"],"raw_orcid":"https://orcid.org/0000-0003-4360-9126","affiliations":[{"raw_affiliation_string":"German Aerospace Center (DLR), German Remote Sensing Data Center (DFD), Oberpfaffenhofen, Germany","institution_ids":["https://openalex.org/I2898391981"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.8775,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.95605112,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":100},"biblio":{"volume":"63","issue":null,"first_page":"1","last_page":"16"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9993000030517578,"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":0.9993000030517578,"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":0.9986000061035156,"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":0.9954000115394592,"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/remote-sensing","display_name":"Remote sensing","score":0.5429416298866272},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5286462903022766},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5099319219589233},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4661461412906647},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4531928300857544},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.4430937170982361},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4004653990268707},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.13565689325332642},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1280301809310913}],"concepts":[{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5429416298866272},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5286462903022766},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5099319219589233},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4661461412906647},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4531928300857544},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.4430937170982361},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4004653990268707},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.13565689325332642},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1280301809310913},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tgrs.2025.3593410","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3593410","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"},{"id":"pmh:oai:elib.dlr.de:215790","is_oa":false,"landing_page_url":"https://doi.org/10.1109/TGRS.2025.3593410>.","pdf_url":null,"source":{"id":"https://openalex.org/S4377196266","display_name":"elib (German Aerospace Center)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2898391981","host_organization_name":"Deutsches Zentrum f\u00fcr Luft- und Raumfahrt e. V. (DLR)","host_organization_lineage":["https://openalex.org/I2898391981"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"PeerReviewed"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1442421518","display_name":null,"funder_award_id":"42171384","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2377139759","display_name":null,"funder_award_id":"42474047","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5302657449","display_name":null,"funder_award_id":"42471416","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G995936212","display_name":null,"funder_award_id":"2024XLB34","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"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":73,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W2320467349","https://openalex.org/W2787091153","https://openalex.org/W2883105896","https://openalex.org/W2950925862","https://openalex.org/W2998998031","https://openalex.org/W3001516132","https://openalex.org/W3009297390","https://openalex.org/W3064840847","https://openalex.org/W3083219173","https://openalex.org/W3100449589","https://openalex.org/W3109998321","https://openalex.org/W3170841864","https://openalex.org/W3183174367","https://openalex.org/W3190334976","https://openalex.org/W3192731655","https://openalex.org/W3200075728","https://openalex.org/W3200870516","https://openalex.org/W3209374680","https://openalex.org/W3211490618","https://openalex.org/W4283450732","https://openalex.org/W4283461773","https://openalex.org/W4290802752","https://openalex.org/W4312726009","https://openalex.org/W4317603812","https://openalex.org/W4322706642","https://openalex.org/W4378009733","https://openalex.org/W4386634500","https://openalex.org/W4388750401","https://openalex.org/W4389326242","https://openalex.org/W4391047432","https://openalex.org/W4391941512","https://openalex.org/W4392173918","https://openalex.org/W4392223672","https://openalex.org/W4392576551","https://openalex.org/W4393397443","https://openalex.org/W4394007483","https://openalex.org/W4394781897","https://openalex.org/W4399154429","https://openalex.org/W4399258932","https://openalex.org/W4399366390","https://openalex.org/W4399449678","https://openalex.org/W4399618753","https://openalex.org/W4399849882","https://openalex.org/W4400229876","https://openalex.org/W4400448280","https://openalex.org/W4400767105","https://openalex.org/W4401692077","https://openalex.org/W4401733773","https://openalex.org/W4402782025","https://openalex.org/W4402899258","https://openalex.org/W4402978703","https://openalex.org/W4403390875","https://openalex.org/W4404006892","https://openalex.org/W4406610928","https://openalex.org/W4408970680","https://openalex.org/W4409356664","https://openalex.org/W4409641151","https://openalex.org/W4410051516","https://openalex.org/W4410886917","https://openalex.org/W4410967082","https://openalex.org/W4410986181","https://openalex.org/W6782420349","https://openalex.org/W6797399245","https://openalex.org/W6803444062","https://openalex.org/W6839235732","https://openalex.org/W6841205203","https://openalex.org/W6859298233","https://openalex.org/W6861342692","https://openalex.org/W6862152624","https://openalex.org/W6862914174","https://openalex.org/W6864196161"],"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/W2890372105","https://openalex.org/W2139939267","https://openalex.org/W1974511032"],"abstract_inverted_index":{"Semantic":[0],"segmentation":[1],"of":[2,26,155,171,183],"remote":[3],"sensing":[4],"imagery":[5],"plays":[6],"an":[7],"important":[8],"role":[9],"in":[10,53],"applications":[11],"such":[12,21],"as":[13,22],"environmental":[14],"monitoring":[15],"and":[16,33,49,70,98,118,129,160,186],"disaster":[17],"response.":[18],"However,":[19],"challenges":[20],"complex":[23],"spatial":[24],"patterns":[25],"variable":[27],"target":[28],"objects,":[29],"significant":[30],"scale":[31],"variations,":[32],"high":[34,61],"inter-class":[35],"similarity":[36],"challenge":[37],"accurate":[38],"segmentation.":[39],"Most":[40],"existing":[41,175],"methods":[42],"based":[43],"on":[44,151],"convolutional":[45],"neural":[46],"networks":[47],"(CNNs)":[48],"Transformers":[50],"face":[51],"limitations":[52],"modeling":[54],"multi-scale":[55,68,110,120,133,138],"global-local":[56,106],"dependencies":[57],"or":[58],"often":[59],"incur":[60],"computational":[62],"costs.":[63],"Therefore,":[64],"we":[65,113],"propose":[66],"a":[67,77,81,87,115,137],"convolution":[69],"mamba":[71],"fusion":[72,122],"model":[73],"(MF-Mamba)":[74],"that":[75],"integrates":[76],"CNN":[78],"encoder":[79,145],"with":[80,93],"Mamba-based":[82],"decoder.":[83],"The":[84,189],"decoder":[85],"incorporates":[86],"Global-Local":[88],"State":[89],"Space":[90],"(GLSS)":[91],"module":[92],"eight-directional":[94],"selective":[95],"scanning":[96],"mechanisms":[97],"multi-kernel":[99],"parallel":[100],"convolutions":[101,131],"to":[102,143,174],"capture":[103],"the":[104,152,161,168],"rich":[105],"context.":[107],"To":[108],"enhance":[109],"feature":[111,121,134],"representation,":[112],"developed":[114,142],"channel-spatial":[116,127],"attention":[117,128],"dense":[119],"(CSDF)":[123],"module,":[124],"which":[125],"combines":[126],"atrous":[130],"for":[132,147],"fusion.":[135],"Additionally,":[136],"lateral":[139],"connection":[140],"is":[141,191],"align":[144],"features":[146],"efficient":[148],"integration.":[149],"Experiments":[150],"data":[153],"sets":[154],"ISPRS":[156,158],"Vaihingen,":[157],"Potsdam,":[159],"Wuhan":[162],"Dense":[163],"Labeling":[164],"Dataset":[165],"(WHDLD)":[166],"demonstrate":[167],"superior":[169],"performance":[170],"MF-Mamba":[172],"compared":[173],"state-of-the-art":[176],"methods.":[177],"It":[178],"achieves":[179],"Mean":[180],"F1":[181],"scores":[182],"86.71%,":[184],"90.70%,":[185],"77.07%,":[187],"respectively.":[188],"code":[190],"available":[192],"at":[193],"https://github.com/Mango-Mars/MF-Mamba.":[194]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}