{"id":"https://openalex.org/W2974288697","doi":"https://doi.org/10.5194/isprs-archives-xlii-2-w16-95-2019","title":"SUPER-RESOLUTION FOR SENTINEL-2 IMAGES","display_name":"SUPER-RESOLUTION FOR SENTINEL-2 IMAGES","publication_year":2019,"publication_date":"2019-09-17","ids":{"openalex":"https://openalex.org/W2974288697","doi":"https://doi.org/10.5194/isprs-archives-xlii-2-w16-95-2019","mag":"2974288697"},"language":"en","primary_location":{"id":"doi:10.5194/isprs-archives-xlii-2-w16-95-2019","doi":"https://doi.org/10.5194/isprs-archives-xlii-2-w16-95-2019","is_oa":true,"landing_page_url":"https://doi.org/10.5194/isprs-archives-xlii-2-w16-95-2019","pdf_url":"https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2-W16/95/2019/isprs-archives-XLII-2-W16-95-2019.pdf","source":{"id":"https://openalex.org/S2737215817","display_name":"The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences","issn_l":"1682-1750","issn":["1682-1750","1682-1777","2194-9034"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","jufo-1","norway-1","oarl","vabb-shw"],"host_organization":"https://openalex.org/P4310313756","host_organization_name":"Copernicus Publications","host_organization_lineage":["https://openalex.org/P4310313756"],"host_organization_lineage_names":["Copernicus Publications"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2-W16/95/2019/isprs-archives-XLII-2-W16-95-2019.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5048848385","display_name":"Mikel Galar","orcid":"https://orcid.org/0000-0003-2865-6549","observed_orcids":["https://orcid.org/0000-0003-2865-6549"]},"institutions":[{"id":"https://openalex.org/I175051016","display_name":"Universidad P\u00fablica de Navarra (UPNA)","ror":"https://ror.org/02z0cah89","country_code":"ES","type":"education","lineage":["https://openalex.org/I175051016"]},{"id":"https://openalex.org/I4405264778","display_name":"Instituto de Smart Cities","ror":"https://ror.org/02yd09184","country_code":"ES","type":"education","lineage":["https://openalex.org/I175051016","https://openalex.org/I4405264778"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"M. Galar","raw_affiliation_strings":["Institute of Smart Cities (ISC), Public University of Navarre, Campus de Arrosad\u00eda s/n, 31006, Pamplona, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Smart Cities (ISC), Public University of Navarre, Campus de Arrosad\u00eda s/n, 31006, Pamplona, Spain","institution_ids":["https://openalex.org/I175051016","https://openalex.org/I4405264778"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045635894","display_name":"Ruben Sesma","orcid":"https://orcid.org/0009-0009-9687-8179","observed_orcids":["https://orcid.org/0009-0009-9687-8179"]},"institutions":[{"id":"https://openalex.org/I4405265993","display_name":"TRACASA Instrumental","ror":"https://ror.org/03j6bzd72","country_code":"ES","type":"government","lineage":["https://openalex.org/I4405265993"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"R. Sesma","raw_affiliation_strings":["Tracasa Instrumental, Calle Cab\u00e1rceno, 6, 31621 Sarriguren, Navarra, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tracasa Instrumental, Calle Cab\u00e1rceno, 6, 31621 Sarriguren, Navarra, Spain","institution_ids":["https://openalex.org/I4405265993"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086389688","display_name":"Christian Ayala","orcid":"https://orcid.org/0000-0002-5229-9636","observed_orcids":["https://orcid.org/0000-0002-5229-9636"]},"institutions":[{"id":"https://openalex.org/I4405265993","display_name":"TRACASA Instrumental","ror":"https://ror.org/03j6bzd72","country_code":"ES","type":"government","lineage":["https://openalex.org/I4405265993"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"C. Ayala","raw_affiliation_strings":["Tracasa Instrumental, Calle Cab\u00e1rceno, 6, 31621 Sarriguren, Navarra, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tracasa Instrumental, Calle Cab\u00e1rceno, 6, 31621 Sarriguren, Navarra, Spain","institution_ids":["https://openalex.org/I4405265993"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048167184","display_name":"C. Aranda","orcid":"https://orcid.org/0009-0005-5075-9298","observed_orcids":["https://orcid.org/0009-0005-5075-9298"]},"institutions":[{"id":"https://openalex.org/I4405265993","display_name":"TRACASA Instrumental","ror":"https://ror.org/03j6bzd72","country_code":"ES","type":"government","lineage":["https://openalex.org/I4405265993"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"C. Aranda","raw_affiliation_strings":["Tracasa Instrumental, Calle Cab\u00e1rceno, 6, 31621 Sarriguren, Navarra, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tracasa Instrumental, Calle Cab\u00e1rceno, 6, 31621 Sarriguren, Navarra, Spain","institution_ids":["https://openalex.org/I4405265993"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.5421,"has_fulltext":true,"cited_by_count":35,"citation_normalized_percentile":{"value":0.84207418,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"XLII-2/W16","issue":null,"first_page":"95","last_page":"102"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.6942999958992004,"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":0.6942999958992004,"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/T12983","display_name":"Satellite Image Processing and Photogrammetry","score":0.13779999315738678,"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":0.08399999886751175,"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/super-resolution","display_name":"super-resolution","score":0.7110000252723694},{"id":"https://openalex.org/keywords/sentinel-2","display_name":"Sentinel-2","score":0.9959999918937683},{"id":"https://openalex.org/keywords/single-image-super-resolution","display_name":"single image super-resolution","score":0.9240000247955322},{"id":"https://openalex.org/keywords/deep-learning","display_name":"deep learning","score":0.6740000247955322},{"id":"https://openalex.org/keywords/convolutional-neural-networks","display_name":"convolutional neural networks","score":0.972000002861023}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6323821544647217},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.6100326776504517},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.601181149482727},{"id":"https://openalex.org/C110384440","wikidata":"https://www.wikidata.org/wiki/Q1143270","display_name":"Upsampling","level":3,"score":0.5906643867492676},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5792616605758667},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.4658336043357849},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43000078201293945},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.42281973361968994},{"id":"https://openalex.org/C87456703","wikidata":"https://www.wikidata.org/wiki/Q247760","display_name":"Radiometry","level":2,"score":0.4192826747894287},{"id":"https://openalex.org/C141239990","wikidata":"https://www.wikidata.org/wiki/Q957423","display_name":"Superresolution","level":3,"score":0.4186950623989105},{"id":"https://openalex.org/C114700698","wikidata":"https://www.wikidata.org/wiki/Q2882278","display_name":"Spectral bands","level":2,"score":0.41522416472435},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4079528748989105},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3341538906097412},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.19530221819877625}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.5194/isprs-archives-xlii-2-w16-95-2019","doi":"https://doi.org/10.5194/isprs-archives-xlii-2-w16-95-2019","is_oa":true,"landing_page_url":"https://doi.org/10.5194/isprs-archives-xlii-2-w16-95-2019","pdf_url":"https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2-W16/95/2019/isprs-archives-XLII-2-W16-95-2019.pdf","source":{"id":"https://openalex.org/S2737215817","display_name":"The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences","issn_l":"1682-1750","issn":["1682-1750","1682-1777","2194-9034"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","jufo-1","norway-1","oarl","vabb-shw"],"host_organization":"https://openalex.org/P4310313756","host_organization_name":"Copernicus Publications","host_organization_lineage":["https://openalex.org/P4310313756"],"host_organization_lineage_names":["Copernicus Publications"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences","raw_type":"journal-article"},{"id":"pmh:oai:academica-e.unavarra.es:2454/36919","doi":null,"is_oa":true,"landing_page_url":"https://hdl.handle.net/2454/36919","pdf_url":"https://academica-e.unavarra.es/bitstreams/5f1cfbce-2844-486d-b364-6ca2a695196a/download","source":{"id":"https://openalex.org/S4306402560","display_name":"Academica-e (Universidad P\u00fablica de Navarra)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I175051016","host_organization_name":"Universidad P\u00fablica de Navarra (UPNA)","host_organization_lineage":["https://openalex.org/I175051016"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:doaj.org/article:a8547801535042ed88c289f13025f337","doi":null,"is_oa":true,"landing_page_url":"https://doaj.org/article/a8547801535042ed88c289f13025f337","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-2-W16, Pp 95-102 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.5194/isprs-archives-xlii-2-w16-95-2019","doi":"https://doi.org/10.5194/isprs-archives-xlii-2-w16-95-2019","is_oa":true,"landing_page_url":"https://doi.org/10.5194/isprs-archives-xlii-2-w16-95-2019","pdf_url":"https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2-W16/95/2019/isprs-archives-XLII-2-W16-95-2019.pdf","source":{"id":"https://openalex.org/S2737215817","display_name":"The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences","issn_l":"1682-1750","issn":["1682-1750","1682-1777","2194-9034"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","jufo-1","norway-1","oarl","vabb-shw"],"host_organization":"https://openalex.org/P4310313756","host_organization_name":"Copernicus Publications","host_organization_lineage":["https://openalex.org/P4310313756"],"host_organization_lineage_names":["Copernicus Publications"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2974288697.pdf","grobid_xml":"https://content.openalex.org/works/W2974288697.grobid-xml"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W54257720","https://openalex.org/W1686810756","https://openalex.org/W1901129140","https://openalex.org/W2056435747","https://openalex.org/W2079302740","https://openalex.org/W2133665775","https://openalex.org/W2157494358","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2242218935","https://openalex.org/W2331128040","https://openalex.org/W2414132572","https://openalex.org/W2476548250","https://openalex.org/W2557283755","https://openalex.org/W2734957715","https://openalex.org/W2735224642","https://openalex.org/W2751694392","https://openalex.org/W2784874046","https://openalex.org/W2794252992","https://openalex.org/W2795247881","https://openalex.org/W2887695188","https://openalex.org/W2899771611","https://openalex.org/W2901160789","https://openalex.org/W2901849192","https://openalex.org/W2963470893"],"related_works":["https://openalex.org/W3046385984","https://openalex.org/W3086482765","https://openalex.org/W2794252992","https://openalex.org/W7052913697","https://openalex.org/W2914498367","https://openalex.org/W2987046957","https://openalex.org/W3046020299","https://openalex.org/W4319999842","https://openalex.org/W4200217129","https://openalex.org/W4283022469"],"abstract_inverted_index":{"Abstract.":[0],"Obtaining":[1],"Sentinel-2":[2,30,47,156,189],"imagery":[3,16],"of":[4,29,41,55,144,188],"higher":[5,67,125],"spatial":[6,186],"resolution":[7,52,103,111,126,187],"than":[8],"the":[9,18,27,39,101,109,139],"native":[10],"bands":[11,48,65],"while":[12],"ensuring":[13],"that":[14,90,177],"output":[15],"preserves":[17],"original":[19,102],"radiometry":[20],"has":[21,78],"become":[22,79],"a":[23,80,181],"key":[24],"issue":[25],"since":[26],"deployment":[28],"satellites.":[31],"Several":[32],"studies":[33],"have":[34],"been":[35],"carried":[36],"out":[37,165],"on":[38],"upsampling":[40],"20":[42],"m":[43,46,57,64,105,114],"and":[44,108],"60":[45],"to":[49,61,66,123,132],"10":[50,56,63],"meters":[51],"taking":[53],"advantage":[54],"bands.":[58],"However,":[59],"how":[60],"super-resolve":[62],"resolutions":[68],"is":[69,89,120,180],"still":[70],"an":[71],"open":[72],"problem.":[73],"Recently,":[74],"deep":[75],"learning-based":[76],"techniques":[77],"de":[81],"facto":[82],"standard":[83],"for":[84,94,128,173],"single-image":[85,174],"super-resolution.":[86],"The":[87],"problem":[88],"neural":[91],"network":[92],"learning":[93],"super-resolution":[95,175],"requires":[96],"image":[97],"pairs":[98],"at":[99],"both":[100],"(10":[104],"in":[106,142],"Sentinel-2)":[107],"target":[110],"(e.g.,":[112],"5":[113],"or":[115],"2.5":[116],"m).":[117],"Since":[118],"there":[119],"no":[121],"way":[122],"obtain":[124],"images":[127,134],"Sentinel-2,":[129],"we":[130],"propose":[131],"consider":[133],"from":[135],"others":[136],"sensors":[137],"having":[138],"greatest":[140],"similarity":[141],"terms":[143],"spectral":[145],"bands,":[146],"which":[147],"will":[148,158],"be":[149],"appropriately":[150],"pre-processed.":[151],"These":[152],"images,":[153,157],"together":[154],"with":[155],"form":[159],"our":[160],"training":[161],"set.":[162],"We":[163],"carry":[164],"several":[166],"experiments":[167],"using":[168],"state-of-the-art":[169],"Convolutional":[170],"Neural":[171],"Networks":[172],"showing":[176],"this":[178],"methodology":[179],"first":[182],"step":[183],"toward":[184],"greater":[185],"images.":[190]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":5}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2019-09-26T00:00:00"}