{"id":"https://openalex.org/W3013245636","doi":"https://doi.org/10.3390/s20061789","title":"A Learning-Enhanced Two-Pair Spatiotemporal Reflectance Fusion Model for GF-2 and GF-1 WFV Satellite Data","display_name":"A Learning-Enhanced Two-Pair Spatiotemporal Reflectance Fusion Model for GF-2 and GF-1 WFV Satellite Data","publication_year":2020,"publication_date":"2020-03-24","ids":{"openalex":"https://openalex.org/W3013245636","doi":"https://doi.org/10.3390/s20061789","mag":"3013245636","pmid":"https://pubmed.ncbi.nlm.nih.gov/32213863"},"language":"en","primary_location":{"id":"doi:10.3390/s20061789","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s20061789","pdf_url":"https://www.mdpi.com/1424-8220/20/6/1789/pdf?version=1585231535","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/20/6/1789/pdf?version=1585231535","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5071338493","display_name":"Yanqin Ge","orcid":null},"institutions":[{"id":"https://openalex.org/I9086337","display_name":"Taiyuan University of Technology","ror":"https://ror.org/03kv08d37","country_code":"CN","type":"education","lineage":["https://openalex.org/I9086337"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanqin Ge","raw_affiliation_strings":["Department of Earth Science and Engineering, Taiyuan University of Technology, Taiyuan 030024, China"],"affiliations":[{"raw_affiliation_string":"Department of Earth Science and Engineering, Taiyuan University of Technology, Taiyuan 030024, China","institution_ids":["https://openalex.org/I9086337"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100744664","display_name":"Yanrong Li","orcid":"https://orcid.org/0000-0002-2499-5714"},"institutions":[{"id":"https://openalex.org/I9086337","display_name":"Taiyuan University of Technology","ror":"https://ror.org/03kv08d37","country_code":"CN","type":"education","lineage":["https://openalex.org/I9086337"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yanrong Li","raw_affiliation_strings":["Department of Earth Science and Engineering, Taiyuan University of Technology, Taiyuan 030024, China"],"affiliations":[{"raw_affiliation_string":"Department of Earth Science and Engineering, Taiyuan University of Technology, Taiyuan 030024, China","institution_ids":["https://openalex.org/I9086337"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101571282","display_name":"Jinyong Chen","orcid":"https://orcid.org/0009-0000-4811-7089"},"institutions":[{"id":"https://openalex.org/I2800372957","display_name":"China Electronics Technology Group Corporation","ror":"https://ror.org/0098hst83","country_code":"CN","type":"company","lineage":["https://openalex.org/I2800372957"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinyong Chen","raw_affiliation_strings":["Lab of Aerospace System and Application, The 54th Research Institute of China Electronics Technology Group Corporation, Shijiazhuang 050081, China"],"affiliations":[{"raw_affiliation_string":"Lab of Aerospace System and Application, The 54th Research Institute of China Electronics Technology Group Corporation, Shijiazhuang 050081, China","institution_ids":["https://openalex.org/I2800372957"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101596086","display_name":"Kang Sun","orcid":"https://orcid.org/0000-0003-3514-8681"},"institutions":[{"id":"https://openalex.org/I2800372957","display_name":"China Electronics Technology Group Corporation","ror":"https://ror.org/0098hst83","country_code":"CN","type":"company","lineage":["https://openalex.org/I2800372957"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kang Sun","raw_affiliation_strings":["Lab of Aerospace System and Application, The 54th Research Institute of China Electronics Technology Group Corporation, Shijiazhuang 050081, China"],"affiliations":[{"raw_affiliation_string":"Lab of Aerospace System and Application, The 54th Research Institute of China Electronics Technology Group Corporation, Shijiazhuang 050081, China","institution_ids":["https://openalex.org/I2800372957"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082252423","display_name":"Dacheng Li","orcid":"https://orcid.org/0000-0002-0487-2581"},"institutions":[{"id":"https://openalex.org/I9086337","display_name":"Taiyuan University of Technology","ror":"https://ror.org/03kv08d37","country_code":"CN","type":"education","lineage":["https://openalex.org/I9086337"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dacheng Li","raw_affiliation_strings":["Department of Surveying and Mapping, Taiyuan University of Technology, Taiyuan 030024, China"],"affiliations":[{"raw_affiliation_string":"Department of Surveying and Mapping, Taiyuan University of Technology, Taiyuan 030024, China","institution_ids":["https://openalex.org/I9086337"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100536529","display_name":"Qijin Han","orcid":null},"institutions":[{"id":"https://openalex.org/I4210092591","display_name":"China Centre for Resources Satellite Data and Application","ror":"https://ror.org/00ft0fw96","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210092591"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qijin Han","raw_affiliation_strings":["Department of Remote Sensing Calibration, China Centre for Resources Satellite Data and Application, Beijing 100094, China"],"affiliations":[{"raw_affiliation_string":"Department of Remote Sensing Calibration, China Centre for Resources Satellite Data and Application, Beijing 100094, China","institution_ids":["https://openalex.org/I4210092591"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100744664"],"corresponding_institution_ids":["https://openalex.org/I9086337"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":1.1455,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.83598512,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"20","issue":"6","first_page":"1789","last_page":"1789"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9988999962806702,"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"}},{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9987999796867371,"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/mean-squared-error","display_name":"Mean squared error","score":0.665510356426239},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.6249527335166931},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5766490697860718},{"id":"https://openalex.org/keywords/reflectivity","display_name":"Reflectivity","score":0.5153933763504028},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.5045515298843384},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.4959193170070648},{"id":"https://openalex.org/keywords/standard-deviation","display_name":"Standard deviation","score":0.4559027850627899},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44920480251312256},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.439348429441452},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.4323720932006836},{"id":"https://openalex.org/keywords/root-mean-square","display_name":"Root mean square","score":0.4291008710861206},{"id":"https://openalex.org/keywords/peak-signal-to-noise-ratio","display_name":"Peak signal-to-noise ratio","score":0.42577195167541504},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4205780029296875},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.41198575496673584},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.31968945264816284},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.17625346779823303},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.1598447561264038},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1276831030845642},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.10013407468795776},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08936330676078796}],"concepts":[{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.665510356426239},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.6249527335166931},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5766490697860718},{"id":"https://openalex.org/C108597893","wikidata":"https://www.wikidata.org/wiki/Q663650","display_name":"Reflectivity","level":2,"score":0.5153933763504028},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.5045515298843384},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.4959193170070648},{"id":"https://openalex.org/C22679943","wikidata":"https://www.wikidata.org/wiki/Q159375","display_name":"Standard deviation","level":2,"score":0.4559027850627899},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44920480251312256},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.439348429441452},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.4323720932006836},{"id":"https://openalex.org/C71907059","wikidata":"https://www.wikidata.org/wiki/Q223323","display_name":"Root mean square","level":2,"score":0.4291008710861206},{"id":"https://openalex.org/C154579607","wikidata":"https://www.wikidata.org/wiki/Q3373850","display_name":"Peak signal-to-noise ratio","level":3,"score":0.42577195167541504},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4205780029296875},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.41198575496673584},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.31968945264816284},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.17625346779823303},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.1598447561264038},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1276831030845642},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.10013407468795776},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08936330676078796},{"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},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/s20061789","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s20061789","pdf_url":"https://www.mdpi.com/1424-8220/20/6/1789/pdf?version=1585231535","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","raw_type":"journal-article"},{"id":"pmid:32213863","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32213863","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:b6d8161a73434df4b0adddc488a3dbc2","is_oa":true,"landing_page_url":"https://doaj.org/article/b6d8161a73434df4b0adddc488a3dbc2","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":"Sensors, Vol 20, Iss 6, p 1789 (2020)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/20/6/1789/","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/s20061789","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":"Sensors","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:7146212","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7146212","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"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":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s20061789","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s20061789","pdf_url":"https://www.mdpi.com/1424-8220/20/6/1789/pdf?version=1585231535","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3013245636.pdf","grobid_xml":"https://content.openalex.org/works/W3013245636.grobid-xml"},"referenced_works_count":42,"referenced_works":["https://openalex.org/W817971873","https://openalex.org/W938022004","https://openalex.org/W1966711117","https://openalex.org/W1982956952","https://openalex.org/W1984514774","https://openalex.org/W2003224325","https://openalex.org/W2020999375","https://openalex.org/W2031596845","https://openalex.org/W2040638734","https://openalex.org/W2050225888","https://openalex.org/W2050565140","https://openalex.org/W2055578844","https://openalex.org/W2056811372","https://openalex.org/W2077182785","https://openalex.org/W2079182940","https://openalex.org/W2079921704","https://openalex.org/W2081399384","https://openalex.org/W2088603520","https://openalex.org/W2089490780","https://openalex.org/W2109479674","https://openalex.org/W2115549875","https://openalex.org/W2119130463","https://openalex.org/W2127078773","https://openalex.org/W2133665775","https://openalex.org/W2160547390","https://openalex.org/W2165954860","https://openalex.org/W2200350976","https://openalex.org/W2325718943","https://openalex.org/W2335117205","https://openalex.org/W2351241481","https://openalex.org/W2514340250","https://openalex.org/W2554764988","https://openalex.org/W2564730549","https://openalex.org/W2746253423","https://openalex.org/W2767886251","https://openalex.org/W2795018073","https://openalex.org/W2886739783","https://openalex.org/W4244324603","https://openalex.org/W4385525614","https://openalex.org/W4385533128","https://openalex.org/W6624696590","https://openalex.org/W6669658234"],"related_works":["https://openalex.org/W2356841320","https://openalex.org/W3128246805","https://openalex.org/W4321516632","https://openalex.org/W2004814108","https://openalex.org/W2372173416","https://openalex.org/W2014433365","https://openalex.org/W2387058352","https://openalex.org/W2060395711","https://openalex.org/W2130187411","https://openalex.org/W2890544631"],"abstract_inverted_index":{"Since":[0],"requirements":[1],"of":[2,24,118,178],"related":[3],"applications":[4],"for":[5,166],"time":[6,50],"series":[7,51],"remotely-sensed":[8],"images":[9,33],"with":[10,55,81,193],"high":[11],"spatial":[12],"resolution":[13],"have":[14],"been":[15],"hard":[16],"to":[17,30,48,101,114,136,161],"be":[18,46,188],"satisfied":[19],"under":[20],"current":[21],"observation":[22],"conditions":[23],"satellite":[25],"sensors,":[26],"it":[27],"is":[28,77,112],"key":[29],"reconstruct":[31],"high-resolution":[32,119],"at":[34],"specified":[35],"dates.":[36],"As":[37],"an":[38,63],"effective":[39],"data":[40,83],"reconstruction":[41],"technique,":[42],"spatiotemporal":[43],"fusion":[44,65,110,164,198],"can":[45,187],"used":[47,160],"generate":[49],"land":[52],"surface":[53],"parameters":[54],"a":[56,96,167],"clear":[57],"geophysical":[58],"significance.":[59],"In":[60],"this":[61],"study,":[62],"improved":[64],"model":[66],"based":[67,196],"on":[68],"the":[69,108,116,185,201,210],"Sparse":[70],"Representation-Based":[71],"Spatiotemporal":[72],"Reflectance":[73],"Fusion":[74,206],"Model":[75,207],"(SPSTFM)":[76],"developed":[78,109],"and":[79,89,104,120,150,190,203,209],"assessed":[80],"reflectance":[82,181,197],"from":[84,184],"Gaofen-2":[85],"Multi-Spectral":[86],"(GF-2":[87],"MS)":[88],"Gaofen-1":[90],"Wide-Field-View":[91],"(GF-1":[92],"WFV).":[93],"By":[94],"introducing":[95],"spatially":[97],"enhanced":[98],"training":[99,103],"method":[100],"dictionary":[102],"sparse":[105],"coding":[106],"processes,":[107],"framework":[111],"expected":[113],"promote":[115],"description":[117],"low-resolution":[121],"overcomplete":[122],"dictionaries.":[123],"Assessment":[124],"indices":[125],"including":[126],"Average":[127],"Absolute":[128],"Deviation":[129],"(AAD),":[130],"Root-Mean-Square":[131],"Error":[132],"(RMSE),":[133],"Peak":[134],"Signal":[135],"Noise":[137],"Ratio":[138],"(PSNR),":[139],"Correlation":[140],"Coefficient":[141],"(CC),":[142],"spectral":[143],"angle":[144],"mapper":[145],"(SAM),":[146],"structure":[147],"similarity":[148],"(SSIM)":[149],"Erreur":[151],"Relative":[152],"Global":[153],"Adimensionnelle":[154],"de":[155],"Synth\u00e8se":[156],"(ERGAS)":[157],"are":[158],"then":[159],"test":[162],"employed":[163],"methods":[165],"parallel":[168],"comparison.":[169],"The":[170],"experimental":[171],"results":[172],"show":[173],"that":[174,183],"more":[175],"accurate":[176],"prediction":[177],"GF-2":[179],"MS":[180],"than":[182],"SPSTFM":[186],"obtained":[189],"furthermore":[191],"comparable":[192],"popular":[194],"two-pair":[195],"models":[199],"like":[200],"Spatial":[202],"Temporal":[204],"Adaptive":[205],"(STARFM)":[208],"Enhanced-STARFM":[211],"(ESTARFM).":[212]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
