{"id":"https://openalex.org/W2914267938","doi":"https://doi.org/10.3390/rs11030300","title":"Reconstructing Geostationary Satellite Land Surface Temperature Imagery Based on a Multiscale Feature Connected Convolutional Neural Network","display_name":"Reconstructing Geostationary Satellite Land Surface Temperature Imagery Based on a Multiscale Feature Connected Convolutional Neural Network","publication_year":2019,"publication_date":"2019-02-01","ids":{"openalex":"https://openalex.org/W2914267938","doi":"https://doi.org/10.3390/rs11030300","mag":"2914267938"},"language":"en","primary_location":{"id":"doi:10.3390/rs11030300","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs11030300","pdf_url":"https://www.mdpi.com/2072-4292/11/3/300/pdf?version=1549952475","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/2072-4292/11/3/300/pdf?version=1549952475","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5065644909","display_name":"Penghai Wu","orcid":"https://orcid.org/0000-0002-1983-5978"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Penghai Wu","raw_affiliation_strings":["Anhui Engineering Research Center for Geographical Information Intelligent Technology, Hefei 230601, China","Institute of Physical Science and Information Technology, Anhui University, Hefei 230601, China","School of Resources and Environmental Engineering, Anhui University, Hefei 230601, China"],"affiliations":[{"raw_affiliation_string":"Anhui Engineering Research Center for Geographical Information Intelligent Technology, Hefei 230601, China","institution_ids":["https://openalex.org/I143868143"]},{"raw_affiliation_string":"Institute of Physical Science and Information Technology, Anhui University, Hefei 230601, China","institution_ids":["https://openalex.org/I143868143"]},{"raw_affiliation_string":"School of Resources and Environmental Engineering, Anhui University, Hefei 230601, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024564691","display_name":"Zhixiang Yin","orcid":"https://orcid.org/0000-0003-2216-1203"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhixiang Yin","raw_affiliation_strings":["School of Resources and Environmental Engineering, Anhui University, Hefei 230601, China"],"affiliations":[{"raw_affiliation_string":"School of Resources and Environmental Engineering, Anhui University, Hefei 230601, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101436329","display_name":"Hui Yang","orcid":"https://orcid.org/0000-0002-6701-6766"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]},{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hui Yang","raw_affiliation_strings":["School of Resource and Environmental Science, Wuhan University, Wuhan 430079, China","School of Resources and Environmental Engineering, Anhui University, Hefei 230601, China"],"affiliations":[{"raw_affiliation_string":"School of Resource and Environmental Science, Wuhan University, Wuhan 430079, China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"School of Resources and Environmental Engineering, Anhui University, Hefei 230601, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100458040","display_name":"Yanlan Wu","orcid":"https://orcid.org/0000-0002-8983-3150"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanlan Wu","raw_affiliation_strings":["Anhui Engineering Research Center for Geographical Information Intelligent Technology, Hefei 230601, China","Institute of Physical Science and Information Technology, Anhui University, Hefei 230601, China","School of Resources and Environmental Engineering, Anhui University, Hefei 230601, China"],"affiliations":[{"raw_affiliation_string":"Anhui Engineering Research Center for Geographical Information Intelligent Technology, Hefei 230601, China","institution_ids":["https://openalex.org/I143868143"]},{"raw_affiliation_string":"Institute of Physical Science and Information Technology, Anhui University, Hefei 230601, China","institution_ids":["https://openalex.org/I143868143"]},{"raw_affiliation_string":"School of Resources and Environmental Engineering, Anhui University, Hefei 230601, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059374040","display_name":"Xiaoshuang Ma","orcid":"https://orcid.org/0000-0003-1354-8035"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoshuang Ma","raw_affiliation_strings":["Anhui Province Key Laboratory of Wetland Ecosystem Protection and Restoration, Anhui University, Hefei 230601, China","School of Resources and Environmental Engineering, Anhui University, Hefei 230601, China"],"affiliations":[{"raw_affiliation_string":"Anhui Province Key Laboratory of Wetland Ecosystem Protection and Restoration, Anhui University, Hefei 230601, China","institution_ids":["https://openalex.org/I143868143"]},{"raw_affiliation_string":"School of Resources and Environmental Engineering, Anhui University, Hefei 230601, China","institution_ids":["https://openalex.org/I143868143"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5024564691","https://openalex.org/A5101436329"],"corresponding_institution_ids":["https://openalex.org/I143868143","https://openalex.org/I37461747"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":5.6998,"has_fulltext":true,"cited_by_count":105,"citation_normalized_percentile":{"value":0.96682304,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"11","issue":"3","first_page":"300","last_page":"300"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10766","display_name":"Urban Heat Island Mitigation","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10766","display_name":"Urban Heat Island Mitigation","score":0.9998999834060669,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.991599977016449,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.98580002784729,"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/geostationary-orbit","display_name":"Geostationary orbit","score":0.9033530950546265},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7003130912780762},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.6223335862159729},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5749421119689941},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5628800988197327},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.5344110727310181},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.4974100887775421},{"id":"https://openalex.org/keywords/satellite-imagery","display_name":"Satellite imagery","score":0.48600849509239197},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.36936861276626587},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3177114725112915},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.14700385928153992},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1135149896144867}],"concepts":[{"id":"https://openalex.org/C16405173","wikidata":"https://www.wikidata.org/wiki/Q192316","display_name":"Geostationary orbit","level":3,"score":0.9033530950546265},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7003130912780762},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6223335862159729},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5749421119689941},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5628800988197327},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.5344110727310181},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.4974100887775421},{"id":"https://openalex.org/C2778102629","wikidata":"https://www.wikidata.org/wiki/Q725252","display_name":"Satellite imagery","level":2,"score":0.48600849509239197},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.36936861276626587},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3177114725112915},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.14700385928153992},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1135149896144867},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs11030300","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs11030300","pdf_url":"https://www.mdpi.com/2072-4292/11/3/300/pdf?version=1549952475","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:077346a2a4554fbba7555c97f7fd2b23","is_oa":true,"landing_page_url":"https://doaj.org/article/077346a2a4554fbba7555c97f7fd2b23","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 11, Iss 3, p 300 (2019)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/11/3/300/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs11030300","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 11; Issue 3; Pages: 300","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs11030300","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs11030300","pdf_url":"https://www.mdpi.com/2072-4292/11/3/300/pdf?version=1549952475","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":[{"id":"https://metadata.un.org/sdg/12","display_name":"Responsible consumption and production","score":0.44999998807907104}],"awards":[{"id":"https://openalex.org/G3862532928","display_name":null,"funder_award_id":"41501376","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/F4320321569","display_name":"China Meteorological Administration","ror":"https://ror.org/00bx3rb98"},{"id":"https://openalex.org/F4320326483","display_name":"European Organization for the Exploitation of Meteorological Satellites","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2914267938.pdf","grobid_xml":"https://content.openalex.org/works/W2914267938.grobid-xml"},"referenced_works_count":40,"referenced_works":["https://openalex.org/W600580655","https://openalex.org/W1586939924","https://openalex.org/W1677182931","https://openalex.org/W1901129140","https://openalex.org/W1982651924","https://openalex.org/W1998557720","https://openalex.org/W2006273284","https://openalex.org/W2026337749","https://openalex.org/W2034539785","https://openalex.org/W2034677232","https://openalex.org/W2042602342","https://openalex.org/W2051238977","https://openalex.org/W2093408583","https://openalex.org/W2113503197","https://openalex.org/W2119204870","https://openalex.org/W2121025662","https://openalex.org/W2130103146","https://openalex.org/W2155897273","https://openalex.org/W2171810632","https://openalex.org/W2342171291","https://openalex.org/W2412588858","https://openalex.org/W2550553598","https://openalex.org/W2604086375","https://openalex.org/W2610528085","https://openalex.org/W2729823562","https://openalex.org/W2737725206","https://openalex.org/W2749751926","https://openalex.org/W2767943769","https://openalex.org/W2776526448","https://openalex.org/W2778147634","https://openalex.org/W2788008270","https://openalex.org/W2796464444","https://openalex.org/W2801586435","https://openalex.org/W2807743986","https://openalex.org/W2808513662","https://openalex.org/W2900094710","https://openalex.org/W2963495494","https://openalex.org/W3103964896","https://openalex.org/W3105234146","https://openalex.org/W6659093088"],"related_works":["https://openalex.org/W2023364053","https://openalex.org/W137969429","https://openalex.org/W2372577889","https://openalex.org/W2348416959","https://openalex.org/W3183138738","https://openalex.org/W2069341891","https://openalex.org/W2318985527","https://openalex.org/W2388584362","https://openalex.org/W3011549223","https://openalex.org/W2798494689"],"abstract_inverted_index":{"Geostationary":[0],"satellite":[1,52,103,163],"land":[2,80],"surface":[3,81],"temperature":[4,82],"(GLST)":[5],"data":[6,87,188],"are":[7,31],"important":[8],"for":[9,17,45,195],"various":[10],"dynamic":[11,126],"environmental":[12],"and":[13,24,107,125,153,159,170,193],"natural":[14],"resource":[15],"applications":[16],"terrestrial":[18],"ecosystems.":[19],"Due":[20],"to":[21,61,136,180],"clouds,":[22],"shadows,":[23],"other":[25],"atmospheric":[26],"conditions,":[27],"the":[28,40,47,50,63,85,91,97,112,115,175],"derived":[29],"LSTs":[30,104,139],"often":[32],"missing":[33,41,86,138,142,187],"a":[34,66,128],"large":[35,141,196],"number":[36,68],"of":[37,49,65,69,114,168,198],"values.":[38,83],"Reconstructing":[39],"values":[42,64],"is":[43,105,134,178,191],"essential":[44],"improving":[46],"usability":[48],"geostationary":[51,102,162],"LST":[53,164,199],"data.":[54],"However,":[55],"current":[56],"reconstruction":[57,92,200],"methods":[58],"mainly":[59],"aim":[60],"fill":[62,137],"small":[67],"invalid":[70],"pixels":[71],"with":[72,140,185],"many":[73],"valid":[74],"pixels,":[75],"which":[76],"can":[77],"provide":[78],"useful":[79],"When":[84],"extent":[88],"becomes":[89],"large,":[90],"effect":[93],"will":[94],"worsen":[95],"because":[96],"relationship":[98],"between":[99],"different":[100],"spatiotemporal":[101],"complex":[106],"highly":[108,123],"nonlinear.":[109],"Inspired":[110],"by":[111],"superiority":[113],"deep":[116],"convolutional":[117],"neural":[118],"network":[119],"(CNN)":[120],"in":[121],"solving":[122],"nonlinear":[124],"problems,":[127],"multiscale":[129],"feature":[130],"connection":[131],"CNN":[132],"model":[133],"proposed":[135,145,176],"regions.":[143],"The":[144,166],"method":[146,177],"has":[147],"been":[148],"tested":[149],"on":[150],"both":[151],"FengYun-2G":[152],"Meteosat":[154],"Second":[155],"Generation-Spinning":[156],"Enhanced":[157],"Visible":[158],"InfraRed":[160],"Imager":[161],"datasets.":[165],"results":[167],"simulated":[169],"actual":[171],"experiments":[172],"show":[173],"that":[174],"accurate":[179],"within":[181],"about":[182],"1":[183],"\u00b0C,":[184],"70%":[186],"rates.":[189],"This":[190],"feasible":[192],"effective":[194],"regions":[197],"tasks.":[201]},"counts_by_year":[{"year":2025,"cited_by_count":17},{"year":2024,"cited_by_count":20},{"year":2023,"cited_by_count":17},{"year":2022,"cited_by_count":25},{"year":2021,"cited_by_count":15},{"year":2020,"cited_by_count":11}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2019-02-21T00:00:00"}
