{"id":"https://openalex.org/W4415124213","doi":"https://doi.org/10.1109/jstars.2025.3620708","title":"Wiener Filter-Based Mamba for Remote Sensing Image Super-Resolution With Novel Degradation","display_name":"Wiener Filter-Based Mamba for Remote Sensing Image Super-Resolution With Novel Degradation","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4415124213","doi":"https://doi.org/10.1109/jstars.2025.3620708"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2025.3620708","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2025.3620708","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,"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"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/jstars.2025.3620708","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5084519716","display_name":"Zuoheng Zhang","orcid":"https://orcid.org/0000-0002-6088-3189"},"institutions":[{"id":"https://openalex.org/I106079672","display_name":"Hebei University of Engineering","ror":"https://ror.org/036h65h05","country_code":"CN","type":"education","lineage":["https://openalex.org/I106079672"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zuoheng Zhang","raw_affiliation_strings":["School of Mathematics and Physics Science and Engineering, Hebei University of Engineering, Handan, China"],"affiliations":[{"raw_affiliation_string":"School of Mathematics and Physics Science and Engineering, Hebei University of Engineering, Handan, China","institution_ids":["https://openalex.org/I106079672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104203849","display_name":"Zhengsheng Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210144436","display_name":"Shanghai Huayi Group (China)","ror":"https://ror.org/044f58834","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210144436"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhengsheng Hu","raw_affiliation_strings":["HUAYUN ShineTek, Beijing, China"],"affiliations":[{"raw_affiliation_string":"HUAYUN ShineTek, Beijing, China","institution_ids":["https://openalex.org/I4210144436"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017434400","display_name":"Binghao Cao","orcid":"https://orcid.org/0009-0009-9810-8071"},"institutions":[{"id":"https://openalex.org/I106079672","display_name":"Hebei University of Engineering","ror":"https://ror.org/036h65h05","country_code":"CN","type":"education","lineage":["https://openalex.org/I106079672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Binghan Cao","raw_affiliation_strings":["School of Mathematics and Physics Science and Engineering, Hebei University of Engineering, Handan, China"],"affiliations":[{"raw_affiliation_string":"School of Mathematics and Physics Science and Engineering, Hebei University of Engineering, Handan, China","institution_ids":["https://openalex.org/I106079672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100439830","display_name":"Pei Li","orcid":"https://orcid.org/0000-0001-7276-6337"},"institutions":[{"id":"https://openalex.org/I106079672","display_name":"Hebei University of Engineering","ror":"https://ror.org/036h65h05","country_code":"CN","type":"education","lineage":["https://openalex.org/I106079672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pei Li","raw_affiliation_strings":["School of Mathematics and Physics Science and Engineering, Hebei University of Engineering, Handan, China"],"affiliations":[{"raw_affiliation_string":"School of Mathematics and Physics Science and Engineering, Hebei University of Engineering, Handan, China","institution_ids":["https://openalex.org/I106079672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016958500","display_name":"Qun Su","orcid":"https://orcid.org/0000-0002-6973-9220"},"institutions":[{"id":"https://openalex.org/I106079672","display_name":"Hebei University of Engineering","ror":"https://ror.org/036h65h05","country_code":"CN","type":"education","lineage":["https://openalex.org/I106079672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qun Su","raw_affiliation_strings":["School of Mathematics and Physics Science and Engineering, Hebei University of Engineering, Handan, China"],"affiliations":[{"raw_affiliation_string":"School of Mathematics and Physics Science and Engineering, Hebei University of Engineering, Handan, China","institution_ids":["https://openalex.org/I106079672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056386042","display_name":"Zhao Dong","orcid":"https://orcid.org/0000-0002-5849-1979"},"institutions":[{"id":"https://openalex.org/I106079672","display_name":"Hebei University of Engineering","ror":"https://ror.org/036h65h05","country_code":"CN","type":"education","lineage":["https://openalex.org/I106079672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhao Dong","raw_affiliation_strings":["School of Mathematics and Physics Science and Engineering, Hebei University of Engineering, Handan, China"],"affiliations":[{"raw_affiliation_string":"School of Mathematics and Physics Science and Engineering, Hebei University of Engineering, Handan, China","institution_ids":["https://openalex.org/I106079672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5092113708","display_name":"Tao Wang","orcid":"https://orcid.org/0009-0001-0711-4057"},"institutions":[{"id":"https://openalex.org/I141301092","display_name":"China Meteorological Administration","ror":"https://ror.org/00bx3rb98","country_code":"CN","type":"government","lineage":["https://openalex.org/I141301092"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Wang","raw_affiliation_strings":["China Meteorological Administration National Satellite Meteorological Center, National Satellite Meteorological Center, Beijing, China"],"affiliations":[{"raw_affiliation_string":"China Meteorological Administration National Satellite Meteorological Center, National Satellite Meteorological Center, Beijing, China","institution_ids":["https://openalex.org/I141301092"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5084519716"],"corresponding_institution_ids":["https://openalex.org/I106079672"],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":{"value":1250,"currency":"USD","value_usd":1250},"fwci":1.1476,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.85113157,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"18","issue":null,"first_page":"26295","last_page":"26308"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9975000023841858,"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":0.9975000023841858,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9965000152587891,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9915000200271606,"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/kernel","display_name":"Kernel (algebra)","score":0.5705999732017517},{"id":"https://openalex.org/keywords/degradation","display_name":"Degradation (telecommunications)","score":0.5412999987602234},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5167999863624573},{"id":"https://openalex.org/keywords/wiener-filter","display_name":"Wiener filter","score":0.49079999327659607},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.48410001397132874},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4650000035762787},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.45649999380111694},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.4519999921321869},{"id":"https://openalex.org/keywords/kernel-density-estimation","display_name":"Kernel density estimation","score":0.4207000136375427}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7541000247001648},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5875999927520752},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5705999732017517},{"id":"https://openalex.org/C2779679103","wikidata":"https://www.wikidata.org/wiki/Q5251805","display_name":"Degradation (telecommunications)","level":2,"score":0.5412999987602234},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5246999859809875},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5167999863624573},{"id":"https://openalex.org/C18537770","wikidata":"https://www.wikidata.org/wiki/Q25523","display_name":"Wiener filter","level":2,"score":0.49079999327659607},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.48410001397132874},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4650000035762787},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.45649999380111694},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.4519999921321869},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43639999628067017},{"id":"https://openalex.org/C71134354","wikidata":"https://www.wikidata.org/wiki/Q458825","display_name":"Kernel density estimation","level":3,"score":0.4207000136375427},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.4018999934196472},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.3815000057220459},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.36739999055862427},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.3628000020980835},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.35040000081062317},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.32670000195503235},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.31540000438690186},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.30959999561309814},{"id":"https://openalex.org/C118365302","wikidata":"https://www.wikidata.org/wiki/Q4817115","display_name":"Atmospheric model","level":2,"score":0.3082999885082245},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.28519999980926514},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.27790001034736633},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.2770000100135803},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.2694000005722046},{"id":"https://openalex.org/C90652560","wikidata":"https://www.wikidata.org/wiki/Q11091747","display_name":"Minimum mean square error","level":3,"score":0.2676999866962433},{"id":"https://openalex.org/C2777708103","wikidata":"https://www.wikidata.org/wiki/Q852589","display_name":"Motion blur","level":3,"score":0.2635999917984009},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.26260000467300415},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.259799987077713},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.2567000091075897},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2540999948978424}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jstars.2025.3620708","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2025.3620708","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,"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:ce354af15fd547db81a92e8dcadd8e8a","is_oa":true,"landing_page_url":"https://doaj.org/article/ce354af15fd547db81a92e8dcadd8e8a","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 18, Pp 26295-26308 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/jstars.2025.3620708","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2025.3620708","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,"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":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"In":[0],"remote":[1,87],"sensing":[2],"image":[3,17],"super-resolution":[4,180],"(SR),":[5],"the":[6,36,135,146,150,155,162,166],"difficulty":[7],"in":[8,51,149,178],"acquiring":[9],"precisely":[10],"pixel-aligned":[11],"high-resolution":[12],"(HR)":[13],"and":[14,55,95,105,123,186],"low-resolution":[15,183],"(LR)":[16],"pairs":[18],"significantly":[19],"hinders":[20],"deep":[21],"learning-based":[22],"methods.":[23],"Existing":[24],"degradation":[25,83],"models,":[26],"typically":[27],"relying":[28],"on":[29,154],"simplistic":[30],"assumptions,":[31],"often":[32],"fail":[33],"to":[34,41,64,99,165],"capture":[35],"complex":[37],"real-world":[38,101],"degradations,":[39],"leading":[40],"suboptimal":[42,147],"SR":[43,47,76],"performance.":[44],"Moreover,":[45],"existing":[46,176],"networks":[48],"face":[49],"challenges":[50],"simultaneously":[52],"reducing":[53],"blur":[54],"noise":[56],"while":[57],"efficiently":[58],"extracting":[59],"global":[60,128],"features,":[61],"primarily":[62],"due":[63],"high":[65],"computational":[66],"complexity.":[67],"To":[68],"address":[69],"these":[70],"issues,":[71],"we":[72],"introduce":[73],"a":[74,80,90,107,139],"blind":[75,179],"framework":[77],"featuring:":[78],"(1)":[79],"novel":[81],"high-order":[82],"model":[84],"tailored":[85],"for":[86,120,126],"sensing,":[88],"incorporating":[89],"Gaussian-based":[91],"atmospheric":[92],"turbulence":[93],"kernel":[94],"Butterworth":[96],"low-pass":[97],"filter":[98],"simulate":[100],"degradations":[102],"more":[103],"accurately;":[104],"(2)":[106],"Wiener":[108],"filter-integrated":[109],"Mamba":[110],"architecture":[111],"(WMSR)":[112],"that":[113,134],"leverages":[114],"minimum":[115],"mean":[116],"squared":[117],"error":[118],"constraints":[119],"frequency-domain":[121],"optimization":[122],"state-space":[124],"modeling":[125],"linear-complexity":[127],"dependency":[129],"capture.":[130],"Experimental":[131],"results":[132],"demonstrate":[133],"proposed":[136,170],"WMSR":[137],"achieves":[138],"PSNR":[140],"gain":[141],"of":[142,161],"0.1194":[143],"dB":[144],"over":[145,175],"method":[148,171],"2\u00d7":[151],"superresolution":[152],"task":[153],"UCMerced":[156],"dataset":[157],"with":[158],"only":[159],"62%":[160],"parameters":[163],"compared":[164],"baseline":[167],"model.":[168],"The":[169],"demonstrates":[172],"superior":[173],"performance":[174],"solutions":[177],"tasks":[181],"without":[182],"images.":[184],"Codes":[185],"models":[187],"are":[188],"publicly":[189],"available":[190],"at":[191],"https://github.com/309204912/DRS-WMSR.":[192]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2025-10-14T00:00:00"}
