{"id":"https://openalex.org/W4404628880","doi":"https://doi.org/10.1109/jstars.2024.3504865","title":"Single-Image Superresolution for RGB Remote Sensing Imagery via Multiscale CNN-Transformer Feature Fusion","display_name":"Single-Image Superresolution for RGB Remote Sensing Imagery via Multiscale CNN-Transformer Feature Fusion","publication_year":2024,"publication_date":"2024-11-22","ids":{"openalex":"https://openalex.org/W4404628880","doi":"https://doi.org/10.1109/jstars.2024.3504865"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2024.3504865","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2024.3504865","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":null,"license_id":null,"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.2024.3504865","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5115444890","display_name":"Xudong Yao","orcid":"https://orcid.org/0000-0003-2008-9746"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xudong Yao","raw_affiliation_strings":["Department of Aerospace Information Engineering (Image Processing Center), School of Astronautics, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-2008-9746","affiliations":[{"raw_affiliation_string":"Department of Aerospace Information Engineering (Image Processing Center), School of Astronautics, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100729435","display_name":"Haopeng Zhang","orcid":"https://orcid.org/0000-0003-1981-8307"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haopeng Zhang","raw_affiliation_strings":["Department of Aerospace Information Engineering (Image Processing Center), School of Astronautics, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-1981-8307","affiliations":[{"raw_affiliation_string":"Department of Aerospace Information Engineering (Image Processing Center), School of Astronautics, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101319168","display_name":"Sizhe Wen","orcid":"https://orcid.org/0009-0007-8839-4452"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sizhe Wen","raw_affiliation_strings":["Department of Aerospace Information Engineering (Image Processing Center), School of Astronautics, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0007-8839-4452","affiliations":[{"raw_affiliation_string":"Department of Aerospace Information Engineering (Image Processing Center), School of Astronautics, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058849690","display_name":"Zhenwei Shi","orcid":"https://orcid.org/0000-0002-4772-3172"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenwei Shi","raw_affiliation_strings":["Department of Aerospace Information Engineering (Image Processing Center), School of Astronautics, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-4772-3172","affiliations":[{"raw_affiliation_string":"Department of Aerospace Information Engineering (Image Processing Center), School of Astronautics, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016853247","display_name":"Zhiguo Jiang","orcid":"https://orcid.org/0000-0001-8786-2540"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiguo Jiang","raw_affiliation_strings":["Department of Aerospace Information Engineering (Image Processing Center), School of Astronautics, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-8786-2540","affiliations":[{"raw_affiliation_string":"Department of Aerospace Information Engineering (Image Processing Center), School of Astronautics, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":{"value":1250,"currency":"USD","value_usd":1250},"fwci":3.8564,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.94798476,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"18","issue":null,"first_page":"1302","last_page":"1316"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9998999834060669,"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":0.9988999962806702,"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/computer-science","display_name":"Computer science","score":0.7002896666526794},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6990857124328613},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.658579409122467},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.5602930784225464},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.5499120950698853},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.5482696294784546},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.50880366563797},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4937306344509125},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.4245210289955139},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.40539127588272095},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.403592586517334},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.287323921918869},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.12217801809310913}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7002896666526794},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6990857124328613},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.658579409122467},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.5602930784225464},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.5499120950698853},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.5482696294784546},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.50880366563797},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4937306344509125},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.4245210289955139},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.40539127588272095},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.403592586517334},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.287323921918869},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.12217801809310913},{"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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jstars.2024.3504865","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2024.3504865","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":null,"license_id":null,"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:d309600927734128b923928f43ea4598","is_oa":true,"landing_page_url":"https://doaj.org/article/d309600927734128b923928f43ea4598","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,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","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 1302-1316 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/jstars.2024.3504865","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2024.3504865","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":null,"license_id":null,"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":[{"id":"https://metadata.un.org/sdg/7","score":0.49000000953674316,"display_name":"Affordable and clean energy"}],"awards":[{"id":"https://openalex.org/G4382578132","display_name":null,"funder_award_id":"62271017","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"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":72,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1958328135","https://openalex.org/W1980038761","https://openalex.org/W2055637322","https://openalex.org/W2102166818","https://openalex.org/W2133665775","https://openalex.org/W2146200771","https://openalex.org/W2157190232","https://openalex.org/W2157494358","https://openalex.org/W2163935418","https://openalex.org/W2194775991","https://openalex.org/W2242218935","https://openalex.org/W2414132572","https://openalex.org/W2476548250","https://openalex.org/W2503339013","https://openalex.org/W2515866431","https://openalex.org/W2621121458","https://openalex.org/W2766079664","https://openalex.org/W2792955223","https://openalex.org/W2895598217","https://openalex.org/W2898832590","https://openalex.org/W2936911078","https://openalex.org/W2952773607","https://openalex.org/W2962737939","https://openalex.org/W2963037989","https://openalex.org/W2963372104","https://openalex.org/W2964101377","https://openalex.org/W2992240579","https://openalex.org/W3005521100","https://openalex.org/W3010913097","https://openalex.org/W3035280441","https://openalex.org/W3043995050","https://openalex.org/W3092393543","https://openalex.org/W3094502228","https://openalex.org/W3096609285","https://openalex.org/W3103556460","https://openalex.org/W3105577662","https://openalex.org/W3122050197","https://openalex.org/W3122239467","https://openalex.org/W3137278571","https://openalex.org/W3153239544","https://openalex.org/W3166727904","https://openalex.org/W3170841864","https://openalex.org/W3171125843","https://openalex.org/W3178925107","https://openalex.org/W3186888943","https://openalex.org/W3199003182","https://openalex.org/W3207918547","https://openalex.org/W4200059424","https://openalex.org/W4206433182","https://openalex.org/W4281659178","https://openalex.org/W4284886326","https://openalex.org/W4287020683","https://openalex.org/W4293170463","https://openalex.org/W4308535788","https://openalex.org/W4313438466","https://openalex.org/W4319300717","https://openalex.org/W4321607998","https://openalex.org/W4328027413","https://openalex.org/W4372342314","https://openalex.org/W4381198756","https://openalex.org/W4385800763","https://openalex.org/W4386075678","https://openalex.org/W4386083034","https://openalex.org/W4390874070","https://openalex.org/W6631190155","https://openalex.org/W6731213277","https://openalex.org/W6752237900","https://openalex.org/W6784094891","https://openalex.org/W6784333009","https://openalex.org/W6785302134","https://openalex.org/W6842361598"],"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":{"Single-image":[0],"superresolution":[1],"(SISR)":[2],"of":[3,52,97,136,191,250],"remote":[4,67,125,212],"sensing":[5,68,126,213],"images":[6,227],"aims":[7],"to":[8,32,44,85,181],"improve":[9,94,247],"image":[10],"resolution":[11],"through":[12],"algorithmic":[13],"means":[14],"while":[15],"restoring":[16],"rich":[17],"high-frequency":[18],"detailed":[19],"information.":[20,185],"Previously,":[21],"convolutional":[22,167,179],"neural":[23],"network":[24,123],"(CNN)":[25],"achieves":[26,207],"impressive":[27],"progress":[28],"in":[29,62,103,194],"SISR":[30,219],"due":[31],"its":[33],"strong":[34,76],"local":[35,87,162],"feature":[36,106,120],"extraction":[37,190],"capability.":[38],"However,":[39],"the":[40,50,60,80,95,137,143,149,189,248],"CNN":[41,61],"is":[42,129],"difficult":[43],"model":[45],"long-range":[46,63],"dependencies,":[47],"which":[48,134],"limits":[49],"performance":[51,96,249],"SISR.":[53,98,127],"Transformer":[54,145],"has":[55,231],"a":[56,117,130,232],"greater":[57],"advantage":[58],"over":[59],"dependence":[64],"modeling.":[65],"Moreover,":[66],"elements":[69],"typically":[70],"exhibit":[71],"multiscale":[72,86,118,144,161,175,183],"characteristics":[73],"and":[74,88,148,169,196],"maintain":[75],"coupling":[77],"relationships":[78],"with":[79,177,216],"surrounding":[81],"environment.":[82],"Paying":[83],"attention":[84],"global":[89,184],"information":[90,151,193],"can":[91,158,245],"help":[92],"further":[93,187],"Existing":[99],"methods":[100],"encounter":[101],"challenges":[102],"leveraging":[104],"diverse":[105],"sets":[107],"within":[108],"single":[109],"architecture":[110],"networks.":[111],"In":[112,221],"this":[113],"article,":[114],"we":[115],"propose":[116],"CNN-Transformer":[119],"fusion":[121],"(MSCT)":[122],"for":[124],"MSCT":[128,206,230,244],"hybrid":[131],"structural":[132],"network,":[133],"consists":[135],"adaptive":[138,170],"residual":[139,171],"dense":[140,165],"block":[141,146,153],"(ARDB),":[142],"(MSTB),":[147],"local\u2013global":[150,192],"enhancement":[152],"(LGEB).":[154],"Among":[155],"them,":[156],"ARDB":[157],"extract":[159],"abundant":[160],"features":[163],"via":[164],"connected":[166],"layers":[168,180],"learning.":[172],"MSTB":[173],"generates":[174],"tokens":[176],"multiple":[178,202],"obtain":[182],"LGEB":[186],"enhance":[188],"spatial":[195],"frequency":[197],"domain.":[198],"Extensive":[199],"experiments":[200,224,240],"on":[201,210,225,236],"datasets":[203],"show":[204,228],"that":[205,229,243],"competitive":[208],"results":[209],"RGB":[211],"imagery":[214],"compared":[215],"other":[217],"representative":[218],"methods.":[220],"addition,":[222],"SR":[223],"Sentinel-2":[226],"certain":[233],"generalization":[234],"ability":[235],"multispectral":[237],"images.":[238],"Extended":[239],"also":[241],"demonstrate":[242],"effectively":[246],"object":[251],"detection.":[252]},"counts_by_year":[{"year":2026,"cited_by_count":8},{"year":2025,"cited_by_count":10}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
