{"id":"https://openalex.org/W4392543790","doi":"https://doi.org/10.1109/tgrs.2024.3374575","title":"SenGLEAN: An End-to-End Deep Learning Approach for Super-Resolution of Sentinel-2 Multiresolution Multispectral Images","display_name":"SenGLEAN: An End-to-End Deep Learning Approach for Super-Resolution of Sentinel-2 Multiresolution Multispectral Images","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4392543790","doi":"https://doi.org/10.1109/tgrs.2024.3374575"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2024.3374575","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3374575","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":["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/A5022676725","display_name":"Ayush Gupta","orcid":"https://orcid.org/0000-0003-0935-9207"},"institutions":[{"id":"https://openalex.org/I94234084","display_name":"Indian Institute of Technology Kanpur","ror":"https://ror.org/05pjsgx75","country_code":"IN","type":"education","lineage":["https://openalex.org/I94234084"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ayush Gupta","raw_affiliation_strings":["Department of Civil Engineering, Indian Institute of Technology Kanpur, Kanpur, India"],"raw_orcid":"https://orcid.org/0000-0003-0935-9207","affiliations":[{"raw_affiliation_string":"Department of Civil Engineering, Indian Institute of Technology Kanpur, Kanpur, India","institution_ids":["https://openalex.org/I94234084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5105832238","display_name":"Rakesh Kumar Mishra","orcid":"https://orcid.org/0000-0001-6856-4396"},"institutions":[{"id":"https://openalex.org/I106938459","display_name":"University of New Brunswick","ror":"https://ror.org/05nkf0n29","country_code":"CA","type":"education","lineage":["https://openalex.org/I106938459"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Rakesh Mishra","raw_affiliation_strings":["Department of Geodesy and Geomatics Engineering, University of New Brunswick, Fredericton, Canada"],"raw_orcid":"https://orcid.org/0000-0001-6856-4396","affiliations":[{"raw_affiliation_string":"Department of Geodesy and Geomatics Engineering, University of New Brunswick, Fredericton, Canada","institution_ids":["https://openalex.org/I106938459"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100356784","display_name":"Yun Zhang","orcid":"https://orcid.org/0000-0001-9231-0142"},"institutions":[{"id":"https://openalex.org/I106938459","display_name":"University of New Brunswick","ror":"https://ror.org/05nkf0n29","country_code":"CA","type":"education","lineage":["https://openalex.org/I106938459"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Yun Zhang","raw_affiliation_strings":["Department of Geodesy and Geomatics Engineering, University of New Brunswick, Fredericton, Canada"],"raw_orcid":"https://orcid.org/0000-0001-9231-0142","affiliations":[{"raw_affiliation_string":"Department of Geodesy and Geomatics Engineering, University of New Brunswick, Fredericton, Canada","institution_ids":["https://openalex.org/I106938459"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.2957,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.88952666,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"62","issue":null,"first_page":"1","last_page":"19"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9585000276565552,"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":0.9585000276565552,"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/T12983","display_name":"Satellite Image Processing and Photogrammetry","score":0.945900022983551,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9314000010490417,"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/multispectral-image","display_name":"Multispectral image","score":0.800739049911499},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.7039844989776611},{"id":"https://openalex.org/keywords/end-to-end-principle","display_name":"End-to-end principle","score":0.6873396635055542},{"id":"https://openalex.org/keywords/superresolution","display_name":"Superresolution","score":0.5560938119888306},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.528374433517456},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.5135648250579834},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.4563409090042114},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43927866220474243},{"id":"https://openalex.org/keywords/high-resolution","display_name":"High resolution","score":0.42251884937286377},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.34765756130218506},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.33647263050079346},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.12797901034355164}],"concepts":[{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.800739049911499},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.7039844989776611},{"id":"https://openalex.org/C74296488","wikidata":"https://www.wikidata.org/wiki/Q2527392","display_name":"End-to-end principle","level":2,"score":0.6873396635055542},{"id":"https://openalex.org/C141239990","wikidata":"https://www.wikidata.org/wiki/Q957423","display_name":"Superresolution","level":3,"score":0.5560938119888306},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.528374433517456},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.5135648250579834},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4563409090042114},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43927866220474243},{"id":"https://openalex.org/C3020199158","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"High resolution","level":2,"score":0.42251884937286377},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.34765756130218506},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.33647263050079346},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.12797901034355164}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2024.3374575","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3374575","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"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322675","display_name":"Mitacs","ror":"https://ror.org/00cjrc276"},{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":70,"referenced_works":["https://openalex.org/W70600013","https://openalex.org/W1522301498","https://openalex.org/W1601729531","https://openalex.org/W1686810756","https://openalex.org/W1836465849","https://openalex.org/W1885185971","https://openalex.org/W1986629820","https://openalex.org/W2021407139","https://openalex.org/W2065277358","https://openalex.org/W2102166818","https://openalex.org/W2107730423","https://openalex.org/W2157494358","https://openalex.org/W2159269332","https://openalex.org/W2163935418","https://openalex.org/W2242218935","https://openalex.org/W2327302159","https://openalex.org/W2328139948","https://openalex.org/W2331128040","https://openalex.org/W2462592242","https://openalex.org/W2536760076","https://openalex.org/W2621121458","https://openalex.org/W2736128730","https://openalex.org/W2766138163","https://openalex.org/W2777033955","https://openalex.org/W2789782027","https://openalex.org/W2794252992","https://openalex.org/W2866634454","https://openalex.org/W2891158090","https://openalex.org/W2911586230","https://openalex.org/W2920074116","https://openalex.org/W2963372104","https://openalex.org/W2963470893","https://openalex.org/W2971382989","https://openalex.org/W2982716705","https://openalex.org/W2984816542","https://openalex.org/W2987046957","https://openalex.org/W3000121268","https://openalex.org/W3023991509","https://openalex.org/W3034352949","https://openalex.org/W3035574324","https://openalex.org/W3086482765","https://openalex.org/W3096609285","https://openalex.org/W3098542449","https://openalex.org/W3112903649","https://openalex.org/W3174865552","https://openalex.org/W3193508667","https://openalex.org/W3201461236","https://openalex.org/W4206433182","https://openalex.org/W4226507018","https://openalex.org/W4231342789","https://openalex.org/W4283022469","https://openalex.org/W4283760989","https://openalex.org/W4285393792","https://openalex.org/W4298289240","https://openalex.org/W4313480476","https://openalex.org/W4313524854","https://openalex.org/W4321484009","https://openalex.org/W4323064998","https://openalex.org/W6631190155","https://openalex.org/W6637373629","https://openalex.org/W6637568146","https://openalex.org/W6638667902","https://openalex.org/W6639309558","https://openalex.org/W6690498163","https://openalex.org/W6727340567","https://openalex.org/W6754405603","https://openalex.org/W6771275388","https://openalex.org/W6784900186","https://openalex.org/W6787334116","https://openalex.org/W6810820731"],"related_works":["https://openalex.org/W4318664220","https://openalex.org/W2771047279","https://openalex.org/W4388409104","https://openalex.org/W2124951708","https://openalex.org/W2011962637","https://openalex.org/W2163677711","https://openalex.org/W2036727360","https://openalex.org/W3004000015","https://openalex.org/W2559771220","https://openalex.org/W4387300017"],"abstract_inverted_index":{"Sentinel-2":[0,65,229],"data":[1,41],"is":[2],"highly":[3],"valuable":[4],"in":[5],"remote":[6,129],"sensing":[7,130],"applications":[8],"owing":[9],"to":[10,25,38,106,126,145,223,231],"its":[11,26,31,143],"open":[12],"accessibility":[13],"and":[14,45,99,120,138,173,188,227,244],"comprehensive":[15],"spatial-temporal":[16],"coverage.":[17],"However,":[18],"it":[19],"poses":[20],"a":[21,53,77,86,107,122,196,235],"unique":[22],"challenge":[23],"due":[24],"varying":[27],"spatial":[28,148],"resolutions":[29],"across":[30],"different":[32],"spectral":[33],"bands":[34,75,96,172,178,187,230],"(ranging":[35],"from":[36],"10-m":[37,98,171,186,226],"60-m).":[39],"High-resolution":[40],"offers":[42,211],"finer":[43],"details":[44],"significantly":[46],"enhances":[47],"the":[48,71,113,147,165,181],"accuracy":[49],"of":[50,56,60,73,115,150],"analyses,":[51],"benefiting":[52],"wide":[54],"range":[55],"fields.":[57],"The":[58],"majority":[59],"current":[61],"methods":[62],"for":[63,93,170,176,185,190],"enhancing":[64,94],"image":[66,242],"resolution":[67,233],"do":[68],"not":[69],"address":[70,81],"enhancement":[72],"all":[74],"through":[76],"unified":[78,108],"network.":[79],"To":[80],"this":[82],"issue,":[83],"we":[84,155,194],"propose":[85],"novel":[87],"deep":[88,237],"learning-based":[89],"solution":[90,222],"named":[91],"SenGLEAN,":[92],"multi-resolution":[95,123],"(specifically,":[97],"20-m":[100,177,191,228],"Ground":[101],"Sampling":[102],"Distance":[103],"-":[104],"GSD)":[105],"5-m":[109,232],"GSD.":[110],"SenGLEAN":[111],"leverages":[112],"concept":[114],"Generative":[116],"LatEnt":[117],"bANks":[118],"(GLEAN)":[119],"employs":[121],"encoder-bank-decoder":[124],"architecture":[125],"achieve":[127],"high-resolution":[128],"imagery.":[131],"Notably,":[132],"our":[133,158,216],"model":[134,218],"incorporates":[135],"channel-attention":[136],"(CA)":[137],"pixel-attention":[139],"modules":[140],"(PA)":[141],"within":[142],"design":[144],"enhance":[146,224],"quality":[149],"results.":[151],"Through":[152],"quantitative":[153],"comparison,":[154],"demonstrate":[156],"that":[157],"network":[159],"shows":[160],"significant":[161],"improvements,":[162],"by":[163,167,183,207],"increasing":[164],"PSNR":[166],"0.28":[168],"dB":[169,175],"2.92":[174],"while":[179,203],"reducing":[180,204],"RMSE":[182],"3.11":[184],"52.26":[189],"bands.":[192],"Furthermore,":[193],"introduce":[195],"lightweight":[197],"variant,":[198],"LightSenGLEAN,":[199],"retaining":[200],"critical":[201],"components":[202],"total":[205],"parameters":[206],"81.89%,":[208],"which":[209],"still":[210],"competitive":[212],"performance.":[213],"In":[214],"summary,":[215],"proposed":[217],"provides":[219],"an":[220],"efficient":[221],"both":[225],"using":[234],"single":[236],"learning":[238],"framework,":[239],"facilitating":[240],"precise":[241],"analysis":[243],"geoscience":[245],"applications.":[246]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":6}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}