{"id":"https://openalex.org/W4416649602","doi":"https://doi.org/10.1109/lgrs.2025.3637136","title":"CSMNet: Channel-Spatial Mamba UNet for Continuous Remote Sensing Image Super Resolution","display_name":"CSMNet: Channel-Spatial Mamba UNet for Continuous Remote Sensing Image Super Resolution","publication_year":2025,"publication_date":"2025-11-25","ids":{"openalex":"https://openalex.org/W4416649602","doi":"https://doi.org/10.1109/lgrs.2025.3637136"},"language":null,"primary_location":{"id":"doi:10.1109/lgrs.2025.3637136","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2025.3637136","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/A5091409031","display_name":"Y C Liu","orcid":"https://orcid.org/0009-0003-3908-0677"},"institutions":[{"id":"https://openalex.org/I136765683","display_name":"Tianjin University of Technology","ror":"https://ror.org/00zbe0w13","country_code":"CN","type":"education","lineage":["https://openalex.org/I136765683"]},{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuning Liu","raw_affiliation_strings":["School of Microelectronics, the State Key Laboratory of Advanced Materials for Intelligent Sensing, the Key Laboratory of Imaging and Sensing Microelectronic Technology, and Tianjin Digital Information Technology Research Center, Tianjin University, Tianjin, China","Key Laboratory of Imaging and Sensing Microelectronic Technology, Tianjin Digital Information Technology Research Center, School of Microelectronics, the State Key Laboratory of Advanced Materials for Intelligent Sensing, Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"School of Microelectronics, the State Key Laboratory of Advanced Materials for Intelligent Sensing, the Key Laboratory of Imaging and Sensing Microelectronic Technology, and Tianjin Digital Information Technology Research Center, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I136765683","https://openalex.org/I205237279"]},{"raw_affiliation_string":"Key Laboratory of Imaging and Sensing Microelectronic Technology, Tianjin Digital Information Technology Research Center, School of Microelectronics, the State Key Laboratory of Advanced Materials for Intelligent Sensing, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I136765683","https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008563672","display_name":"Yongtao Ma","orcid":"https://orcid.org/0000-0001-6240-5749"},"institutions":[{"id":"https://openalex.org/I136765683","display_name":"Tianjin University of Technology","ror":"https://ror.org/00zbe0w13","country_code":"CN","type":"education","lineage":["https://openalex.org/I136765683"]},{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongtao Ma","raw_affiliation_strings":["School of Microelectronics, the State Key Laboratory of Advanced Materials for Intelligent Sensing, the Key Laboratory of Imaging and Sensing Microelectronic Technology, and Tianjin Digital Information Technology Research Center, Tianjin University, Tianjin, China","Key Laboratory of Imaging and Sensing Microelectronic Technology, Tianjin Digital Information Technology Research Center, School of Microelectronics, the State Key Laboratory of Advanced Materials for Intelligent Sensing, Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"School of Microelectronics, the State Key Laboratory of Advanced Materials for Intelligent Sensing, the Key Laboratory of Imaging and Sensing Microelectronic Technology, and Tianjin Digital Information Technology Research Center, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I136765683","https://openalex.org/I205237279"]},{"raw_affiliation_string":"Key Laboratory of Imaging and Sensing Microelectronic Technology, Tianjin Digital Information Technology Research Center, School of Microelectronics, the State Key Laboratory of Advanced Materials for Intelligent Sensing, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I136765683","https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058533932","display_name":"Weiming Li","orcid":"https://orcid.org/0009-0007-5204-4418"},"institutions":[{"id":"https://openalex.org/I83776822","display_name":"Shandong Institute of Business and Technology","ror":"https://ror.org/03rrkrc24","country_code":"CN","type":"education","lineage":["https://openalex.org/I83776822"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiming Li","raw_affiliation_strings":["School of Information and Electronic Engineering, Shandong Technology and Business University, Yantai, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Electronic Engineering, Shandong Technology and Business University, Yantai, China","institution_ids":["https://openalex.org/I83776822"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110691272","display_name":"Shiliang Guo","orcid":null},"institutions":[{"id":"https://openalex.org/I4210153682","display_name":"Intelligent Health (United Kingdom)","ror":"https://ror.org/0576zak10","country_code":"GB","type":"company","lineage":["https://openalex.org/I4210153682"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Shiliang Guo","raw_affiliation_strings":["CSPACE Intelligent Technology Company Ltd., Shaoxing, China","CSPACE Intelligent Technology Company Ltd, Shaoxing, China"],"affiliations":[{"raw_affiliation_string":"CSPACE Intelligent Technology Company Ltd., Shaoxing, China","institution_ids":["https://openalex.org/I4210153682"]},{"raw_affiliation_string":"CSPACE Intelligent Technology Company Ltd, Shaoxing, China","institution_ids":["https://openalex.org/I4210153682"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5091409031"],"corresponding_institution_ids":["https://openalex.org/I136765683","https://openalex.org/I205237279"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.39329297,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"23","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.858299970626831,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.858299970626831,"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":0.10109999775886536,"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":0.013100000098347664,"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/merge","display_name":"Merge (version control)","score":0.6464999914169312},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.5583999752998352},{"id":"https://openalex.org/keywords/superresolution","display_name":"Superresolution","score":0.5393000245094299},{"id":"https://openalex.org/keywords/upsampling","display_name":"Upsampling","score":0.4968999922275543},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.4763000011444092},{"id":"https://openalex.org/keywords/geospatial-analysis","display_name":"Geospatial analysis","score":0.4578000009059906},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.43459999561309814},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.41019999980926514},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39259999990463257},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.3691999912261963}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7398999929428101},{"id":"https://openalex.org/C197129107","wikidata":"https://www.wikidata.org/wiki/Q1921621","display_name":"Merge (version control)","level":2,"score":0.6464999914169312},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6114000082015991},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6096000075340271},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.5583999752998352},{"id":"https://openalex.org/C141239990","wikidata":"https://www.wikidata.org/wiki/Q957423","display_name":"Superresolution","level":3,"score":0.5393000245094299},{"id":"https://openalex.org/C110384440","wikidata":"https://www.wikidata.org/wiki/Q1143270","display_name":"Upsampling","level":3,"score":0.4968999922275543},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.48069998621940613},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4763000011444092},{"id":"https://openalex.org/C9770341","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Geospatial analysis","level":2,"score":0.4578000009059906},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.43459999561309814},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.41019999980926514},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39259999990463257},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3691999912261963},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.3522000014781952},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.34709998965263367},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.33570000529289246},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.321399986743927},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3188000023365021},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.3158000111579895},{"id":"https://openalex.org/C3020199158","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"High resolution","level":2,"score":0.30660000443458557},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.2946000099182129},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.29429998993873596},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.2919999957084656},{"id":"https://openalex.org/C183365957","wikidata":"https://www.wikidata.org/wiki/Q17140402","display_name":"Remote sensing application","level":3,"score":0.2838999927043915},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.2703999876976013},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.26919999718666077},{"id":"https://openalex.org/C151416825","wikidata":"https://www.wikidata.org/wiki/Q934791","display_name":"Quadtree","level":2,"score":0.2651999890804291},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.2632000148296356},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2590999901294708},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.2590000033378601},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.25690001249313354},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.25540000200271606},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.2508000135421753}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2025.3637136","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2025.3637136","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":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W54257720","https://openalex.org/W2242218935","https://openalex.org/W2293078015","https://openalex.org/W2476548250","https://openalex.org/W2963031226","https://openalex.org/W3174865552","https://openalex.org/W4206433182","https://openalex.org/W4319999899","https://openalex.org/W4367721767","https://openalex.org/W4386065725","https://openalex.org/W4402952320","https://openalex.org/W4410491797"],"related_works":[],"abstract_inverted_index":{"Remote":[0],"sensing":[1],"image":[2],"super":[3],"resolution":[4],"is":[5],"crucial":[6],"for":[7,29],"enhancing":[8],"geospatial":[9],"recognition":[10],"accuracy,":[11],"yet":[12],"existing":[13],"methods":[14],"based":[15,67],"on":[16,68,99],"deep":[17],"learning":[18],"present":[19],"significant":[20],"bottlenecks":[21],"such":[22],"as":[23],"low":[24],"computational":[25],"efficiency,":[26],"insufficient":[27],"preservation":[28],"local":[30],"details":[31],"and":[32,51,64,82,101,115,117],"global":[33],"semantics.":[34],"To":[35],"address":[36],"these":[37],"challenges,":[38],"we":[39,84],"propose":[40,85],"a":[41,86],"novel":[42],"CSMNet":[43],"framework,":[44],"which":[45],"pioneers":[46],"the":[47,69,91],"integration":[48],"of":[49,62,113],"Mamba":[50],"implicit":[52],"neural":[53],"representation":[54],"within":[55],"UNet.":[56],"We":[57],"model":[58],"long":[59],"range":[60],"dependencies":[61],"spatial":[63],"channel":[65],"information":[66],"visual":[70],"state":[71],"space":[72],"(VSS)":[73],"model.":[74],"In":[75],"order":[76],"to":[77,89,96],"promote":[78],"multi-scale":[79],"feature":[80],"interaction":[81],"preservation,":[83],"fusion":[87],"strategy":[88],"merge":[90],"upsampled":[92],"features":[93],"from":[94],"bottom":[95],"top.":[97],"Experiments":[98],"UCMerced":[100],"AID":[102],"datasets":[103],"demonstrate":[104],"that":[105],"our":[106],"method":[107],"averagely":[108],"achieves":[109],"prominent":[110],"PSNR(dB)/SSIM":[111],"values":[112],"30.81/0.8535":[114],"33.30/0.8666,":[116],"40.2%":[118],"inference":[119],"speed":[120],"increasement":[121],"than":[122],"recent":[123],"continuous":[124],"SR":[125],"methods.":[126]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-11-25T00:00:00"}
