{"id":"https://openalex.org/W3038371767","doi":"https://doi.org/10.1155/2020/8873079","title":"Spatiotemporal Fusion of Remote Sensing Image Based on Deep Learning","display_name":"Spatiotemporal Fusion of Remote Sensing Image Based on Deep Learning","publication_year":2020,"publication_date":"2020-06-29","ids":{"openalex":"https://openalex.org/W3038371767","doi":"https://doi.org/10.1155/2020/8873079","mag":"3038371767"},"language":"en","primary_location":{"id":"doi:10.1155/2020/8873079","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2020/8873079","pdf_url":"https://downloads.hindawi.com/journals/js/2020/8873079.pdf","source":{"id":"https://openalex.org/S96783963","display_name":"Journal of Sensors","issn_l":"1687-725X","issn":["1687-725X","1687-7268"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://downloads.hindawi.com/journals/js/2020/8873079.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100363480","display_name":"Xiaofei Wang","orcid":"https://orcid.org/0000-0003-0716-3243"},"institutions":[{"id":"https://openalex.org/I55022517","display_name":"Heilongjiang University","ror":"https://ror.org/04zyhq975","country_code":"CN","type":"education","lineage":["https://openalex.org/I55022517"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaofei Wang","raw_affiliation_strings":["School of Electronic Engineering, Heilongjiang University, Harbin 150080, China"],"raw_orcid":"https://orcid.org/0000-0003-0716-3243","affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, Heilongjiang University, Harbin 150080, China","institution_ids":["https://openalex.org/I55022517"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100442802","display_name":"Xiaoyi Wang","orcid":"https://orcid.org/0000-0003-2140-6782"},"institutions":[{"id":"https://openalex.org/I55022517","display_name":"Heilongjiang University","ror":"https://ror.org/04zyhq975","country_code":"CN","type":"education","lineage":["https://openalex.org/I55022517"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyi Wang","raw_affiliation_strings":["School of Electronic Engineering, Heilongjiang University, Harbin 150080, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, Heilongjiang University, Harbin 150080, China","institution_ids":["https://openalex.org/I55022517"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5100363480"],"corresponding_institution_ids":["https://openalex.org/I55022517"],"apc_list":{"value":2100,"currency":"USD","value_usd":2100},"apc_paid":{"value":2100,"currency":"USD","value_usd":2100},"fwci":2.3318,"has_fulltext":true,"cited_by_count":36,"citation_normalized_percentile":{"value":0.89253996,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"2020","issue":null,"first_page":"1","last_page":"11"},"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":0.9954000115394592,"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":0.9943000078201294,"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/residual","display_name":"Residual","score":0.793347954750061},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.7033182978630066},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.6687325835227966},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6314482688903809},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6210658550262451},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.6148125529289246},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.579483151435852},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.5662071108818054},{"id":"https://openalex.org/keywords/temporal-resolution","display_name":"Temporal resolution","score":0.5209868550300598},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.4928736686706543},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.4632026255130768},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.45353931188583374},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4217260181903839},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4122897982597351},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4087902009487152},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3928016722202301},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3780587613582611},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.20652875304222107},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.17914709448814392}],"concepts":[{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.793347954750061},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.7033182978630066},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.6687325835227966},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6314482688903809},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6210658550262451},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.6148125529289246},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.579483151435852},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.5662071108818054},{"id":"https://openalex.org/C119666444","wikidata":"https://www.wikidata.org/wiki/Q5977280","display_name":"Temporal resolution","level":2,"score":0.5209868550300598},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.4928736686706543},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.4632026255130768},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.45353931188583374},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4217260181903839},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4122897982597351},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4087902009487152},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3928016722202301},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3780587613582611},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.20652875304222107},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.17914709448814392},{"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/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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":2,"locations":[{"id":"doi:10.1155/2020/8873079","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2020/8873079","pdf_url":"https://downloads.hindawi.com/journals/js/2020/8873079.pdf","source":{"id":"https://openalex.org/S96783963","display_name":"Journal of Sensors","issn_l":"1687-725X","issn":["1687-725X","1687-7268"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Sensors","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:1435b2381e2f401da3571993ed871a3f","is_oa":false,"landing_page_url":"https://doaj.org/article/1435b2381e2f401da3571993ed871a3f","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,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Sensors, Vol 2020 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/2020/8873079","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2020/8873079","pdf_url":"https://downloads.hindawi.com/journals/js/2020/8873079.pdf","source":{"id":"https://openalex.org/S96783963","display_name":"Journal of Sensors","issn_l":"1687-725X","issn":["1687-725X","1687-7268"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3038371767.pdf","grobid_xml":"https://content.openalex.org/works/W3038371767.grobid-xml"},"referenced_works_count":32,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1885185971","https://openalex.org/W1967678164","https://openalex.org/W1982956952","https://openalex.org/W2003224325","https://openalex.org/W2031596845","https://openalex.org/W2041570083","https://openalex.org/W2056811372","https://openalex.org/W2072093516","https://openalex.org/W2081399384","https://openalex.org/W2082263501","https://openalex.org/W2083350099","https://openalex.org/W2088603520","https://openalex.org/W2091436265","https://openalex.org/W2093866254","https://openalex.org/W2096885759","https://openalex.org/W2099698780","https://openalex.org/W2100921418","https://openalex.org/W2143696753","https://openalex.org/W2150830784","https://openalex.org/W2159269332","https://openalex.org/W2200350976","https://openalex.org/W2767886251","https://openalex.org/W2791213921","https://openalex.org/W2793445582","https://openalex.org/W2902746003","https://openalex.org/W2907147407","https://openalex.org/W2939570633","https://openalex.org/W3023114228","https://openalex.org/W3046027728","https://openalex.org/W3105021316","https://openalex.org/W3122774149"],"related_works":["https://openalex.org/W2354322770","https://openalex.org/W3000097931","https://openalex.org/W4237547500","https://openalex.org/W1570848052","https://openalex.org/W2373192430","https://openalex.org/W4239268388","https://openalex.org/W2391745328","https://openalex.org/W4214649316","https://openalex.org/W2154495931","https://openalex.org/W2554790198"],"abstract_inverted_index":{"High":[0],"spatial":[1,29,83,93,105],"and":[2,30,88,98,137,139,147],"temporal":[3,31,86,96],"resolution":[4,87],"remote":[5,35,48],"sensing":[6,36,49],"data":[7,50,80,90,102,149],"play":[8],"an":[9,24,52],"important":[10],"role":[11],"in":[12],"monitoring":[13],"the":[14,18,28,34,57,65,71,78,111,128,132,140,143,153,160,166,169,175,182,191],"rapid":[15],"change":[16],"of":[17,33,113,142,168,177,201],"earth":[19],"surface.":[20],"However,":[21],"there":[22],"is":[23,51,121,125,150,197],"irreconcilable":[25],"contradiction":[26],"between":[27,135],"resolutions":[32],"image":[37,124,134,146],"acquired":[38],"from":[39],"a":[40,116],"same":[41],"sensor.":[42],"The":[43,186],"spatiotemporal":[44,66,114],"fusion":[45,67],"technology":[46],"for":[47],"effective":[53],"way":[54],"to":[55,109,130,181],"solve":[56],"contradiction.":[58],"In":[59,107,157],"this":[60,158],"paper,":[61,159],"we":[62],"will":[63],"study":[64],"method":[68,196],"based":[69],"on":[70],"convolutional":[72],"neural":[73,119],"network,":[74],"which":[75],"can":[76],"fuse":[77],"Landsat":[79],"with":[81,91,103],"high":[82,95,104],"but":[84,94,172],"low":[85,92],"MODIS":[89,123,136,148],"resolution,":[97],"generate":[99],"time":[100],"series":[101],"resolution.":[106],"order":[108],"improve":[110],"accuracy":[112,193],"fusion,":[115],"residual":[117,133,145,161],"convolution":[118],"network":[120,162,171,184],"proposed.":[122],"used":[126,151],"as":[127,152],"input":[129],"predict":[131],"Landsat,":[138],"sum":[141],"predicted":[144,154],"Landsat-like":[155],"image.":[156],"not":[163],"only":[164],"increases":[165],"depth":[167],"superresolution":[170],"also":[173],"avoids":[174],"problem":[176],"vanishing":[178],"gradient":[179],"due":[180],"deep":[183],"structure.":[185],"experimental":[187],"results":[188],"show":[189],"that":[190,200],"prediction":[192],"by":[194],"our":[195],"greater":[198],"than":[199],"several":[202],"mainstream":[203],"methods.":[204]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":13},{"year":2021,"cited_by_count":3}],"updated_date":"2026-07-17T09:13:05.818461","created_date":"2025-10-10T00:00:00"}
