{"id":"https://openalex.org/W7128310906","doi":"https://doi.org/10.1109/jstars.2026.3662146","title":"Tri-CoMamba: A Tri-Complementary Mamba Framework for Multisource Remote Sensing Image Classification","display_name":"Tri-CoMamba: A Tri-Complementary Mamba Framework for Multisource Remote Sensing Image Classification","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7128310906","doi":"https://doi.org/10.1109/jstars.2026.3662146"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2026.3662146","doi":"https://doi.org/10.1109/jstars.2026.3662146","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2026.3662146","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-scientific","cwts-core","doaj","dongbi-d","jufo-1","norway-1","oarl","poland-140","russia-white-list-1","vabb-shw"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"parent_works":[],"lineage":["https://openalex.org/W7128310906"],"child_works_count":0,"type":"article","is_traditional":true,"indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/jstars.2026.3662146","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5125369482","display_name":"Zhihui Geng","orcid":"https://orcid.org/0009-0004-8582-2245","observed_orcids":["https://orcid.org/0009-0004-8582-2245"]},"institutions":[{"id":"https://openalex.org/I165859042","display_name":"Huaibei Normal University","ror":"https://ror.org/03ek23472","country_code":"CN","type":"education","lineage":["https://openalex.org/I165859042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhihui Geng","raw_affiliation_strings":["College of Physics and Electronic Engineering, Huaibei Normal University, Huaibei, China"],"raw_orcid":"https://orcid.org/0009-0004-8582-2245","affiliations":[{"raw_affiliation_string":"College of Physics and Electronic Engineering, Huaibei Normal University, Huaibei, China","institution_ids":["https://openalex.org/I165859042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100682893","display_name":"Jiangtao Wang","orcid":"https://orcid.org/0000-0002-2603-8512","observed_orcids":["https://orcid.org/0000-0002-2603-8512"]},"institutions":[{"id":"https://openalex.org/I165859042","display_name":"Huaibei Normal University","ror":"https://ror.org/03ek23472","country_code":"CN","type":"education","lineage":["https://openalex.org/I165859042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiangtao Wang","raw_affiliation_strings":["College of Physics and Electronic Engineering, Huaibei Normal University, Huaibei, China"],"raw_orcid":"https://orcid.org/0000-0002-2603-8512","affiliations":[{"raw_affiliation_string":"College of Physics and Electronic Engineering, Huaibei Normal University, Huaibei, China","institution_ids":["https://openalex.org/I165859042"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5133872484","display_name":"Rui Wang","orcid":"https://orcid.org/0009-0000-8954-9304","observed_orcids":["https://orcid.org/0009-0000-8954-9304"]},"institutions":[{"id":"https://openalex.org/I165859042","display_name":"Huaibei Normal University","ror":"https://ror.org/03ek23472","country_code":"CN","type":"education","lineage":["https://openalex.org/I165859042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rui Wang","raw_affiliation_strings":["College of Physics and Electronic Engineering, Huaibei Normal University, Huaibei, China"],"raw_orcid":"https://orcid.org/0009-0000-8954-9304","affiliations":[{"raw_affiliation_string":"College of Physics and Electronic Engineering, Huaibei Normal University, Huaibei, China","institution_ids":["https://openalex.org/I165859042"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I165859042"],"apc_list":{"value":1800,"currency":"USD","value_usd":1800},"apc_paid":{"value":1800,"currency":"USD","value_usd":1800},"fwci":5.874,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.95817709,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"19","issue":null,"first_page":"7170","last_page":"7187"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9487000107765198,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9487000107765198,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.03920000046491623,"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":0.0017000000225380063,"subfield":{"id":"https://openalex.org/subfields/3305","display_name":"Geography, Planning and Development"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/mamba","display_name":"Mamba","score":0.7820000052452087},{"id":"https://openalex.org/keywords/image-classification","display_name":"image classification","score":0.8610000014305115},{"id":"https://openalex.org/keywords/satellite-image-fusion","display_name":"satellite image fusion","score":0.4309999942779541}],"concepts":[{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.8371000289916992},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.6496999859809875},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6373000144958496},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4708000123500824},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.40560001134872437},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.35569998621940613},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.35040000081062317},{"id":"https://openalex.org/C183365957","wikidata":"https://www.wikidata.org/wiki/Q17140402","display_name":"Remote sensing application","level":3,"score":0.34200000762939453},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3172000050544739},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.3131999969482422},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.30219998955726624},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.2741999924182892},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2712000012397766},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.26440000534057617},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.263700008392334},{"id":"https://openalex.org/C108597893","wikidata":"https://www.wikidata.org/wiki/Q663650","display_name":"Reflectivity","level":2,"score":0.259799987077713},{"id":"https://openalex.org/C87456703","wikidata":"https://www.wikidata.org/wiki/Q247760","display_name":"Radiometry","level":2,"score":0.25119999051094055}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jstars.2026.3662146","doi":"https://doi.org/10.1109/jstars.2026.3662146","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2026.3662146","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-scientific","cwts-core","doaj","dongbi-d","jufo-1","norway-1","oarl","poland-140","russia-white-list-1","vabb-shw"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:9d7ffe5850cf4ba882df959c3aa20b9c","doi":null,"is_oa":false,"landing_page_url":"https://doaj.org/article/9d7ffe5850cf4ba882df959c3aa20b9c","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 19, Pp 7170-7187 (2026)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/jstars.2026.3662146","doi":"https://doi.org/10.1109/jstars.2026.3662146","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2026.3662146","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-scientific","cwts-core","doaj","dongbi-d","jufo-1","norway-1","oarl","poland-140","russia-white-list-1","vabb-shw"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320334897","display_name":"Natural Science Foundation of Anhui Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W2620858446","https://openalex.org/W2764276316","https://openalex.org/W2765739551","https://openalex.org/W2799390666","https://openalex.org/W2811355488","https://openalex.org/W2892075618","https://openalex.org/W2962770389","https://openalex.org/W2966358285","https://openalex.org/W3004968762","https://openalex.org/W3012135036","https://openalex.org/W3035356612","https://openalex.org/W3095567726","https://openalex.org/W3123544374","https://openalex.org/W3168367808","https://openalex.org/W3180637455","https://openalex.org/W3208935369","https://openalex.org/W4200394792","https://openalex.org/W4205342161","https://openalex.org/W4210794570","https://openalex.org/W4212897988","https://openalex.org/W4285262969","https://openalex.org/W4312465065","https://openalex.org/W4319069095","https://openalex.org/W4321608682","https://openalex.org/W4377001528","https://openalex.org/W4379984088","https://openalex.org/W4386322091","https://openalex.org/W4391508105","https://openalex.org/W4400238700","https://openalex.org/W4402473688","https://openalex.org/W4404214611","https://openalex.org/W4404688148","https://openalex.org/W4405360462","https://openalex.org/W4406089811","https://openalex.org/W4406893126","https://openalex.org/W4408358118","https://openalex.org/W4408596652","https://openalex.org/W4409262789","https://openalex.org/W4409985914","https://openalex.org/W4411055071","https://openalex.org/W4412434880","https://openalex.org/W4413147024"],"related_works":["https://openalex.org/W7223145423","https://openalex.org/W7223119585","https://openalex.org/W7204540314","https://openalex.org/W7204156139","https://openalex.org/W7221777626","https://openalex.org/W7167465868","https://openalex.org/W7223412550","https://openalex.org/W7211866663","https://openalex.org/W7221158980","https://openalex.org/W7212077181"],"abstract_inverted_index":{"The":[0,65,164,200],"synergistic":[1],"application":[2],"of":[3,47,166,180,197,202,226],"hyperspectral":[4],"images":[5],"combined":[6],"with":[7,131,214],"light":[8],"detection":[9],"and":[10,44,75,95,108,115,123,154,183,211,229],"ranging":[11],"(LiDAR)":[12],"or":[13],"synthetic":[14],"aperture":[15],"radar":[16],"(SAR)":[17],"data":[18],"is":[19,69],"crucial":[20],"for":[21],"improving":[22],"the":[23,45,54,62,72,160,175,194,208],"accuracy":[24,225],"in":[25,38,134],"multisource":[26,198],"remote":[27],"sensing":[28],"joint":[29],"classification.":[30],"However,":[31],"existing":[32],"methods":[33],"still":[34],"suffer":[35],"from":[36],"limitations":[37],"long-range":[39],"dependency":[40],"modeling,":[41,136],"cross-modal":[42,161],"alignment,":[43],"preservation":[46],"fine-grained":[48],"spectral":[49,92,135,140],"features.":[50],"This":[51],"study":[52],"introduces":[53,120],"tri-complementary":[55],"Mamba":[56,89,93],"modules":[57,169],"(Tri-CoMamba)":[58],"framework":[59],"to":[60,127,137,150,172,193],"resolve":[61],"aforementioned":[63],"limitations.":[64],"proposed":[66],"network":[67],"architecture":[68],"founded":[70],"upon":[71],"state-space":[73],"model":[74],"employs":[76],"selective":[77],"scanning":[78],"Mamba-S6":[79],"as":[80],"its":[81],"core":[82],"structure,":[83],"integrating":[84],"three":[85,168],"complementary":[86],"modules:":[87],"complement-and-rectify":[88],"(CoRe-Mamba),":[90],"cross-frequency":[91,124],"(CF-SpecMamba),":[94],"modality-aware":[96,146],"spatial":[97,107,148],"modulation":[98,149],"(MASM).":[99],"Specifically,":[100],"CoRe-Mamba":[101],"mitigates":[102],"feature":[103,141],"mismatching":[104],"through":[105],"dual-level":[106],"channel":[109],"rectification,":[110],"thereby":[111,158],"enhancing":[112],"semantic":[113],"consistency":[114],"directional":[116],"modeling":[117],"capabilities.":[118],"CF-SpecMamba":[119],"bidirectional":[121],"recurrence":[122],"interaction":[125],"attention":[126],"balance":[128],"low-frequency":[129],"baselines":[130],"high-frequency":[132],"details":[133],"achieve":[138],"comprehensive":[139],"enhancement.":[142],"Furthermore,":[143],"MASM":[144],"utilizes":[145],"dynamic":[147],"highlight":[151],"discriminative":[152],"regions":[153],"suppress":[155],"background":[156],"interference,":[157],"optimizing":[159],"fusion":[162],"effect.":[163],"synergy":[165],"these":[167],"enables":[170],"Tri-CoMamba":[171,218],"completely":[173],"exploit":[174],"distinct":[176],"yet":[177],"supportive":[178],"strengths":[179],"spatial,":[181],"spectral,":[182],"modal":[184],"features,":[185],"all":[186],"while":[187],"preserving":[188],"computational":[189],"efficiency,":[190],"which":[191],"leads":[192],"precise":[195],"classification":[196],"data.":[199],"effectiveness":[201],"this":[203],"approach":[204],"was":[205],"validated":[206],"using":[207],"Berlin,":[209],"Trento,":[210],"Houston2018":[212],"datasets,":[213],"results":[215],"demonstrating":[216],"that":[217],"outperforms":[219],"various":[220],"representative":[221],"methods,":[222],"achieving":[223],"overall":[224],"78.51%,":[227],"99.80%,":[228],"92.88%,":[230],"respectively.":[231]},"counts_by_year":[{"year":2026,"cited_by_count":4}],"updated_date":"2026-11-13T13:42:25.865203","created_date":"2026-02-09T00:00:00"}
