{"id":"https://openalex.org/W2794276902","doi":"https://doi.org/10.3390/rs10030394","title":"Landsat Super-Resolution Enhancement Using Convolution Neural Networks and Sentinel-2 for Training","display_name":"Landsat Super-Resolution Enhancement Using Convolution Neural Networks and Sentinel-2 for Training","publication_year":2018,"publication_date":"2018-03-03","ids":{"openalex":"https://openalex.org/W2794276902","doi":"https://doi.org/10.3390/rs10030394","mag":"2794276902"},"language":"en","primary_location":{"id":"doi:10.3390/rs10030394","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs10030394","pdf_url":"https://www.mdpi.com/2072-4292/10/3/394/pdf?version=1520914230","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/10/3/394/pdf?version=1520914230","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5029694177","display_name":"Darren Pouliot","orcid":"https://orcid.org/0000-0002-7831-0792"},"institutions":[{"id":"https://openalex.org/I1342547582","display_name":"Environment and Climate Change Canada","ror":"https://ror.org/026ny0e17","country_code":"CA","type":"funder","lineage":["https://openalex.org/I1342547582","https://openalex.org/I2802286613"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Darren Pouliot","raw_affiliation_strings":["Environment and Climate Change Canada, Landscape Science and Technology, Ottawa, ON K1A 0H3, Canada"],"affiliations":[{"raw_affiliation_string":"Environment and Climate Change Canada, Landscape Science and Technology, Ottawa, ON K1A 0H3, Canada","institution_ids":["https://openalex.org/I1342547582"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019660149","display_name":"R. Latifovic","orcid":null},"institutions":[{"id":"https://openalex.org/I1281735042","display_name":"Natural Resources Canada","ror":"https://ror.org/05hepy730","country_code":"CA","type":"government","lineage":["https://openalex.org/I1281735042","https://openalex.org/I2802286613"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Rasim Latifovic","raw_affiliation_strings":["Natural Resources Canada, Earth Sciences Sector, Canada Center for Remote Sensing, Ottawa, ON K1A 0E4, Canada"],"affiliations":[{"raw_affiliation_string":"Natural Resources Canada, Earth Sciences Sector, Canada Center for Remote Sensing, Ottawa, ON K1A 0E4, Canada","institution_ids":["https://openalex.org/I1281735042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090992461","display_name":"Jon Pasher","orcid":null},"institutions":[{"id":"https://openalex.org/I1342547582","display_name":"Environment and Climate Change Canada","ror":"https://ror.org/026ny0e17","country_code":"CA","type":"funder","lineage":["https://openalex.org/I1342547582","https://openalex.org/I2802286613"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jon Pasher","raw_affiliation_strings":["Environment and Climate Change Canada, Landscape Science and Technology, Ottawa, ON K1A 0H3, Canada"],"affiliations":[{"raw_affiliation_string":"Environment and Climate Change Canada, Landscape Science and Technology, Ottawa, ON K1A 0H3, Canada","institution_ids":["https://openalex.org/I1342547582"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058714333","display_name":"Jason Duffe","orcid":null},"institutions":[{"id":"https://openalex.org/I1342547582","display_name":"Environment and Climate Change Canada","ror":"https://ror.org/026ny0e17","country_code":"CA","type":"funder","lineage":["https://openalex.org/I1342547582","https://openalex.org/I2802286613"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jason Duffe","raw_affiliation_strings":["Environment and Climate Change Canada, Landscape Science and Technology, Ottawa, ON K1A 0H3, Canada"],"affiliations":[{"raw_affiliation_string":"Environment and Climate Change Canada, Landscape Science and Technology, Ottawa, ON K1A 0H3, Canada","institution_ids":["https://openalex.org/I1342547582"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5029694177"],"corresponding_institution_ids":["https://openalex.org/I1342547582"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":5.7373,"has_fulltext":true,"cited_by_count":94,"citation_normalized_percentile":{"value":0.97090013,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"10","issue":"3","first_page":"394","last_page":"394"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9959999918937683,"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":0.9959999918937683,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9765999913215637,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9724000096321106,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental 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":0.7053687572479248},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6399266123771667},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.6273447275161743},{"id":"https://openalex.org/keywords/land-cover","display_name":"Land cover","score":0.5471068024635315},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5154700875282288},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.4680485427379608},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3986048698425293},{"id":"https://openalex.org/keywords/land-use","display_name":"Land use","score":0.23022118210792542},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.21616774797439575}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7053687572479248},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6399266123771667},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6273447275161743},{"id":"https://openalex.org/C2780648208","wikidata":"https://www.wikidata.org/wiki/Q3001793","display_name":"Land cover","level":3,"score":0.5471068024635315},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5154700875282288},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4680485427379608},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3986048698425293},{"id":"https://openalex.org/C4792198","wikidata":"https://www.wikidata.org/wiki/Q1165944","display_name":"Land use","level":2,"score":0.23022118210792542},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.21616774797439575},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs10030394","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs10030394","pdf_url":"https://www.mdpi.com/2072-4292/10/3/394/pdf?version=1520914230","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:ad7716d13fe1480e89c336335f3cc9f7","is_oa":true,"landing_page_url":"https://doaj.org/article/ad7716d13fe1480e89c336335f3cc9f7","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-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 10, Iss 3, p 394 (2018)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/10/3/394/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs10030394","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"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":"Remote Sensing; Volume 10; Issue 3; Pages: 394","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs10030394","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs10030394","pdf_url":"https://www.mdpi.com/2072-4292/10/3/394/pdf?version=1520914230","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.7300000190734863,"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320334436","display_name":"Canadian Space Agency","ror":"https://ror.org/03a1gte98"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2794276902.pdf","grobid_xml":"https://content.openalex.org/works/W2794276902.grobid-xml"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W1994154616","https://openalex.org/W2021048111","https://openalex.org/W2023847826","https://openalex.org/W2030864384","https://openalex.org/W2055718260","https://openalex.org/W2080091258","https://openalex.org/W2098676252","https://openalex.org/W2117539524","https://openalex.org/W2133665775","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2214802144","https://openalex.org/W2242218935","https://openalex.org/W2247062920","https://openalex.org/W2462592242","https://openalex.org/W2470558416","https://openalex.org/W2476548250","https://openalex.org/W2510257774","https://openalex.org/W2549139847","https://openalex.org/W2587456632","https://openalex.org/W2592088493","https://openalex.org/W2618530766","https://openalex.org/W2669774736","https://openalex.org/W2739419885","https://openalex.org/W2747898905","https://openalex.org/W2761672078","https://openalex.org/W2765928085","https://openalex.org/W2769702568","https://openalex.org/W2964050430","https://openalex.org/W2964137095"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W4321487865","https://openalex.org/W4313906399","https://openalex.org/W4239306820","https://openalex.org/W4391266461","https://openalex.org/W1537861260","https://openalex.org/W2369060955","https://openalex.org/W2615806692","https://openalex.org/W2080965330","https://openalex.org/W2547534968"],"abstract_inverted_index":{"Landsat":[0,29,159],"is":[1,68,78,161],"a":[2,70,75],"fundamental":[3],"data":[4,71],"source":[5],"for":[6,28,58,119],"understanding":[7],"historical":[8],"change":[9,125],"and":[10,22,44,54,60,74,98,134,148,171,187],"its":[11],"effect":[12],"on":[13,184],"environmental":[14],"processes.":[15],"In":[16],"this":[17],"research":[18,179],"we":[19],"test":[20],"shallow":[21,111,133],"deep":[23,102,135],"convolution":[24],"neural":[25],"networks":[26],"(CNNs)":[27],"image":[30,77],"super-resolution":[31],"enhancement,":[32],"trained":[33,65,170],"using":[34],"Sentinel-2,":[35],"in":[36],"three":[37],"study":[38],"sites":[39],"representing":[40],"boreal":[41],"forest,":[42],"tundra,":[43],"cropland/woodland":[45],"environments.":[46],"The":[47,151],"analysis":[48],"sought":[49],"to":[50,81],"assess":[51,181],"baseline":[52],"performance":[53,129,165],"determine":[55],"the":[56,64,83,89,101,105,110,128,132,158,174,182],"capacity":[57],"spatial":[59,97,155,176],"temporal":[61,99,120],"extension":[62,121],"of":[63,157],"CNNs.":[66],"This":[67],"not":[69],"fusion":[72],"approach":[73],"high-resolution":[76],"only":[79],"needed":[80],"train":[82],"CNN.":[84,136],"Results":[85,118],"show":[86],"improvement":[87],"with":[88,163],"deeper":[90],"network":[91],"generally":[92],"achieving":[93],"better":[94,108],"results.":[95],"For":[96],"extension,":[100],"CNN":[103],"performed":[104],"same":[106,175],"or":[107],"than":[109],"CNN,":[112],"but":[113],"at":[114],"greater":[115],"computational":[116],"cost.":[117],"were":[122],"influenced":[123],"by":[124],"potentiality":[126],"reducing":[127],"difference":[130],"between":[131],"Visual":[137],"examination":[138],"revealed":[139],"sharper":[140],"images":[141],"regarding":[142],"land":[143,189],"cover":[144,190],"boundaries,":[145],"linear":[146],"features,":[147],"within-cover":[149],"textures.":[150],"results":[152],"suggest":[153],"that":[154],"enhancement":[156,183],"archive":[160],"feasible,":[162],"optimal":[164],"where":[166],"CNNs":[167],"can":[168],"be":[169],"applied":[172],"within":[173],"domain.":[177],"Future":[178],"will":[180],"time":[185],"series":[186],"associated":[188],"applications.":[191]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":13},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":20},{"year":2020,"cited_by_count":16},{"year":2019,"cited_by_count":12},{"year":2018,"cited_by_count":6}],"updated_date":"2026-04-15T08:11:43.952461","created_date":"2018-03-29T00:00:00"}
