{"id":"https://openalex.org/W4394782240","doi":"https://doi.org/10.1109/tgrs.2024.3496073","title":"FusionMamba: Efficient Remote Sensing Image Fusion With State Space Model","display_name":"FusionMamba: Efficient Remote Sensing Image Fusion With State Space Model","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4394782240","doi":"https://doi.org/10.1109/tgrs.2024.3496073"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2024.3496073","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3496073","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":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2404.07932","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5081847796","display_name":"Siran Peng","orcid":"https://orcid.org/0000-0002-3983-5596"},"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/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siran Peng","raw_affiliation_strings":["Chinese Academy of Sciences (CASIA), State Key Laboratory of Multimodel Artificial Intelligence Systems, Institute of Automation, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-3983-5596","affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences (CASIA), State Key Laboratory of Multimodel Artificial Intelligence Systems, Institute of Automation, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xiangyu Zhu","orcid":"https://orcid.org/0000-0002-4636-9677"},"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/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangyu Zhu","raw_affiliation_strings":["Chinese Academy of Sciences (CASIA), State Key Laboratory of Multimodel Artificial Intelligence Systems, Institute of Automation, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-4636-9677","affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences (CASIA), State Key Laboratory of Multimodel Artificial Intelligence Systems, Institute of Automation, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101824758","display_name":"Haoyu Deng","orcid":"https://orcid.org/0000-0001-6637-0619"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haoyu Deng","raw_affiliation_strings":["School of Information and Communication Engineering, University of Electronic Science and Technology of China (UESTC), Chengdu, Sichuan, China"],"raw_orcid":"https://orcid.org/0000-0001-6637-0619","affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China (UESTC), Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088224232","display_name":"Liang-Jian Deng","orcid":"https://orcid.org/0000-0003-3178-9772"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang-Jian Deng","raw_affiliation_strings":["School of Mathematical Sciences/Multi-Hazard Early Warning Key Laboratory of Sichuan Province, University of Electronic Science and Technology of China (UESTC), Chengdu, Sichuan, China"],"raw_orcid":"https://orcid.org/0000-0003-3178-9772","affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences/Multi-Hazard Early Warning Key Laboratory of Sichuan Province, University of Electronic Science and Technology of China (UESTC), Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109299788","display_name":"Zhen Lei","orcid":"https://orcid.org/0000-0002-0791-189X"},"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/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen Lei","raw_affiliation_strings":["Chinese Academy of Sciences (CASIA), State Key Laboratory of Multimodel Artificial Intelligence Systems, Institute of Automation, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-0791-189X","affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences (CASIA), State Key Laboratory of Multimodel Artificial Intelligence Systems, Institute of Automation, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":12.9896,"has_fulltext":false,"cited_by_count":70,"citation_normalized_percentile":{"value":0.99209212,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"62","issue":null,"first_page":"1","last_page":"16"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","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/T11659","display_name":"Advanced Image Fusion Techniques","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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9922999739646912,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9552000164985657,"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/image-fusion","display_name":"Image fusion","score":0.6092263460159302},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5674509406089783},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5577145218849182},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.53221595287323},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.5156875848770142},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5004818439483643},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49034714698791504},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.46933427453041077},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.4524362087249756},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.33324572443962097},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.15155741572380066}],"concepts":[{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.6092263460159302},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5674509406089783},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5577145218849182},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.53221595287323},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.5156875848770142},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5004818439483643},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49034714698791504},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.46933427453041077},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.4524362087249756},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.33324572443962097},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.15155741572380066},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tgrs.2024.3496073","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3496073","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:arXiv.org:2404.07932","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2404.07932","pdf_url":"https://arxiv.org/pdf/2404.07932","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:2404.07932","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2404.07932","pdf_url":"https://arxiv.org/pdf/2404.07932","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/G1446199886","display_name":null,"funder_award_id":"62276254","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2129173210","display_name":null,"funder_award_id":"12271083","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":73,"referenced_works":["https://openalex.org/W1980110630","https://openalex.org/W2021046129","https://openalex.org/W2054440797","https://openalex.org/W2064366277","https://openalex.org/W2100109944","https://openalex.org/W2112796928","https://openalex.org/W2120273653","https://openalex.org/W2124743705","https://openalex.org/W2133665775","https://openalex.org/W2142843085","https://openalex.org/W2171108951","https://openalex.org/W2171211028","https://openalex.org/W2194775991","https://openalex.org/W2462592242","https://openalex.org/W2476548250","https://openalex.org/W2752782242","https://openalex.org/W2774594138","https://openalex.org/W2777033955","https://openalex.org/W2792142731","https://openalex.org/W2921660688","https://openalex.org/W2935896423","https://openalex.org/W2945202593","https://openalex.org/W2948669395","https://openalex.org/W2963442801","https://openalex.org/W2964275574","https://openalex.org/W3007673161","https://openalex.org/W3029812440","https://openalex.org/W3045851210","https://openalex.org/W3082358108","https://openalex.org/W3083606623","https://openalex.org/W3087959468","https://openalex.org/W3096904276","https://openalex.org/W3097824737","https://openalex.org/W3135970042","https://openalex.org/W3172472472","https://openalex.org/W3206518131","https://openalex.org/W3211329537","https://openalex.org/W4214494738","https://openalex.org/W4283814658","https://openalex.org/W4283815286","https://openalex.org/W4285212492","https://openalex.org/W4288064619","https://openalex.org/W4288391574","https://openalex.org/W4292508218","https://openalex.org/W4293193772","https://openalex.org/W4293704609","https://openalex.org/W4311554934","https://openalex.org/W4313442864","https://openalex.org/W4318766072","https://openalex.org/W4320713392","https://openalex.org/W4378421719","https://openalex.org/W4384206036","https://openalex.org/W4385245566","https://openalex.org/W4385255943","https://openalex.org/W4386495264","https://openalex.org/W4387986465","https://openalex.org/W4391092600","https://openalex.org/W4391097058","https://openalex.org/W4391305541","https://openalex.org/W4398249074","https://openalex.org/W4399154429","https://openalex.org/W4401024462","https://openalex.org/W4402716157","https://openalex.org/W4404214611","https://openalex.org/W6623043969","https://openalex.org/W6685078114","https://openalex.org/W6802912272","https://openalex.org/W6803444062","https://openalex.org/W6841205203","https://openalex.org/W6846416456","https://openalex.org/W6859298233","https://openalex.org/W6861342692","https://openalex.org/W6861387779"],"related_works":["https://openalex.org/W2788731446","https://openalex.org/W2204403038","https://openalex.org/W3152170969","https://openalex.org/W2379054866","https://openalex.org/W2549658594","https://openalex.org/W2370195708","https://openalex.org/W1490651872","https://openalex.org/W2139242969","https://openalex.org/W2284201331","https://openalex.org/W2095903272"],"abstract_inverted_index":{"Remote":[0],"sensing":[1,114,167],"image":[2,10,15,23,115,168],"fusion":[3],"aims":[4],"to":[5,58,122,135,185],"generate":[6],"a":[7,13,21,83,146],"high-resolution":[8,14],"multi/hyperspectral":[9],"by":[11,86],"combining":[12],"with":[16,90,207],"limited":[17,52],"spectral":[18,26,127,189,216],"data":[19],"and":[20,44,126,156,188,192,225],"low-resolution":[22],"rich":[24],"in":[25,74,201],"information.":[27],"Current":[28],"deep":[29],"learning":[30,65],"(DL)":[31],"methods":[32],"typically":[33],"employ":[34],"convolutional":[35],"neural":[36],"networks":[37],"(CNNs)":[38],"or":[39],"Transformers":[40,62],"for":[41,98,111,149,165],"feature":[42,196],"extraction":[43],"information":[45,67,99,150,217],"integration.":[46,151],"While":[47],"CNNs":[48],"are":[49,69,119,198],"efficient,":[50],"their":[51,56],"receptive":[53],"fields":[54],"restrict":[55],"ability":[57],"capture":[59],"global":[60,66,88],"context.":[61],"excel":[63],"at":[64,250],"but":[68],"computationally":[70],"expensive.":[71],"Recent":[72],"advancements":[73],"the":[75,94,131,140,213,237,242],"state":[76],"space":[77],"model":[78],"(SSM),":[79],"particularly":[80],"Mamba,":[81],"present":[82],"promising":[84],"alternative":[85],"enabling":[87],"perception":[89],"low":[91],"complexity.":[92],"However,":[93],"potential":[95],"of":[96,180,215,244],"SSM":[97],"integration":[100],"remains":[101],"largely":[102],"unexplored.":[103],"Therefore,":[104],"we":[105,129,153,211],"propose":[106],"FusionMamba,":[107],"an":[108,160,202,219],"innovative":[109],"method":[110,235],"efficient":[112],"remote":[113,166],"fusion.":[116,169],"Our":[117,170],"contributions":[118],"twofold.":[120],"First,":[121],"effectively":[123],"merge":[124],"spatial":[125,187],"features,":[128],"expand":[130],"single-input":[132],"Mamba":[133,155,183],"block":[134],"accommodate":[136],"dual":[137],"inputs,":[138],"creating":[139],"FusionMamba":[141,157,208],"block,":[142],"which":[143],"serves":[144],"as":[145],"plug-and-play":[147],"solution":[148],"Second,":[152],"incorporate":[154],"blocks":[158],"into":[159],"interpretable":[161],"network":[162,175,204],"architecture":[163],"tailored":[164],"designs":[171],"utilize":[172],"two":[173],"U-shaped":[174],"branches,":[176],"each":[177],"primarily":[178],"composed":[179],"four-directional":[181],"(FD)":[182],"blocks,":[184],"extract":[186],"features":[190],"separately":[191],"hierarchically.":[193],"The":[194,246],"resulting":[195],"maps":[197],"sufficiently":[199],"merged":[200],"auxiliary":[203],"branch":[205],"constructed":[206],"blocks.":[209],"Furthermore,":[210],"improve":[212],"representation":[214],"through":[218],"enhanced":[220],"channel":[221],"attention":[222],"module.":[223],"Quantitative":[224],"qualitative":[226],"valuation":[227],"results":[228],"across":[229],"six":[230],"datasets":[231],"demonstrate":[232],"that":[233],"our":[234],"achieves":[236],"state-of-the-art":[238],"(SOTA)":[239],"performance,":[240],"underscoring":[241],"effectiveness":[243],"FusionMamba.":[245],"code":[247],"is":[248],"available":[249],"<uri":[251],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[252],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/PSRben/FusionMamba</uri>.":[253]},"counts_by_year":[{"year":2026,"cited_by_count":25},{"year":2025,"cited_by_count":43},{"year":2024,"cited_by_count":2}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}