{"id":"https://openalex.org/W2989531848","doi":"https://doi.org/10.3390/rs11222701","title":"Spatiotemporal Fusion of Satellite Images via Very Deep Convolutional Networks","display_name":"Spatiotemporal Fusion of Satellite Images via Very Deep Convolutional Networks","publication_year":2019,"publication_date":"2019-11-18","ids":{"openalex":"https://openalex.org/W2989531848","doi":"https://doi.org/10.3390/rs11222701","mag":"2989531848"},"language":"en","primary_location":{"id":"doi:10.3390/rs11222701","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs11222701","pdf_url":"https://www.mdpi.com/2072-4292/11/22/2701/pdf?version=1574228444","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/2072-4292/11/22/2701/pdf?version=1574228444","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100698166","display_name":"Yuhui Zheng","orcid":"https://orcid.org/0000-0002-4408-3800"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhui Zheng","raw_affiliation_strings":["School of Computer and Software, Engineering Research Center of Digital Forensics, Ministry of Education PAPD, Nanjing University of Information Science and Technology, Nanjing 210044, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Software, Engineering Research Center of Digital Forensics, Ministry of Education PAPD, Nanjing University of Information Science and Technology, Nanjing 210044, China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100775391","display_name":"Huihui Song","orcid":"https://orcid.org/0000-0002-0751-2354"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Huihui Song","raw_affiliation_strings":["Jiangsu Key Laboratory of Big Data Analysis Technology (B-DAT) and Jiangsu Collaborative Innovation Center on Atmospheric Environment and Equipment Technology (CICAEET), Nanjing University of Information Science and Technology, Nanjing 210044, China"],"affiliations":[{"raw_affiliation_string":"Jiangsu Key Laboratory of Big Data Analysis Technology (B-DAT) and Jiangsu Collaborative Innovation Center on Atmospheric Environment and Equipment Technology (CICAEET), Nanjing University of Information Science and Technology, Nanjing 210044, China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059068224","display_name":"Le Sun","orcid":"https://orcid.org/0000-0001-6465-8678"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Le Sun","raw_affiliation_strings":["School of Computer and Software, Engineering Research Center of Digital Forensics, Ministry of Education PAPD, Nanjing University of Information Science and Technology, Nanjing 210044, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Software, Engineering Research Center of Digital Forensics, Ministry of Education PAPD, Nanjing University of Information Science and Technology, Nanjing 210044, China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031361250","display_name":"Zebin Wu","orcid":"https://orcid.org/0000-0002-7162-0202"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zebin Wu","raw_affiliation_strings":["The School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing 210094, China"],"affiliations":[{"raw_affiliation_string":"The School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing 210094, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074587654","display_name":"Byeungwoo Jeon","orcid":"https://orcid.org/0000-0002-5650-2881"},"institutions":[{"id":"https://openalex.org/I848706","display_name":"Sungkyunkwan University","ror":"https://ror.org/04q78tk20","country_code":"KR","type":"education","lineage":["https://openalex.org/I848706"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Byeungwoo Jeon","raw_affiliation_strings":["College of Information and Communication Engineering, Sungkyunkwan University, Suwon 440-746, Korea"],"affiliations":[{"raw_affiliation_string":"College of Information and Communication Engineering, Sungkyunkwan University, Suwon 440-746, Korea","institution_ids":["https://openalex.org/I848706"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100775391"],"corresponding_institution_ids":["https://openalex.org/I200845125"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":1.813,"has_fulltext":true,"cited_by_count":23,"citation_normalized_percentile":{"value":0.87581625,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"11","issue":"22","first_page":"2701","last_page":"2701"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":1.0,"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":1.0,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9976000189781189,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9973999857902527,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7611685395240784},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.599103569984436},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5501209497451782},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.527862012386322},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48505061864852905},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.48293039202690125},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4482111632823944},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.4449900984764099},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.4337455928325653},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.4333172142505646},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.41423362493515015},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.34296363592147827},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.1607094407081604},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.14153948426246643}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7611685395240784},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.599103569984436},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5501209497451782},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.527862012386322},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48505061864852905},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.48293039202690125},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4482111632823944},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.4449900984764099},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.4337455928325653},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.4333172142505646},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.41423362493515015},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.34296363592147827},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.1607094407081604},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.14153948426246643},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs11222701","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs11222701","pdf_url":"https://www.mdpi.com/2072-4292/11/22/2701/pdf?version=1574228444","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:12bf8096fc0b4879bac37374cc36831f","is_oa":true,"landing_page_url":"https://doaj.org/article/12bf8096fc0b4879bac37374cc36831f","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 22, p 2701 (2019)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/11/22/2701/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs11222701","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 22; Pages: 2701","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs11222701","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs11222701","pdf_url":"https://www.mdpi.com/2072-4292/11/22/2701/pdf?version=1574228444","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":[],"awards":[{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1243718259","display_name":null,"funder_award_id":"XYDXX","funder_id":"https://openalex.org/F4320326182","funder_display_name":"Six Talent Peaks Project in Jiangsu Province"},{"id":"https://openalex.org/G1735341038","display_name":null,"funder_award_id":"XYDXX-015","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2195322469","display_name":null,"funder_award_id":"RJFW-015","funder_id":"https://openalex.org/F4320326182","funder_display_name":"Six Talent Peaks Project in Jiangsu Province"},{"id":"https://openalex.org/G2889580319","display_name":null,"funder_award_id":"6197220","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3659173759","display_name":null,"funder_award_id":"XYDXX-045","funder_id":"https://openalex.org/F4320326182","funder_display_name":"Six Talent Peaks Project in Jiangsu Province"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4020255992","display_name":null,"funder_award_id":"Project","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6143281916","display_name":null,"funder_award_id":"61972206","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6417493839","display_name":null,"funder_award_id":"XYDXX-015","funder_id":"https://openalex.org/F4320321605","funder_display_name":"Government of Jiangsu Province"},{"id":"https://openalex.org/G7234830905","display_name":null,"funder_award_id":"XYDXX-015","funder_id":"https://openalex.org/F4320326182","funder_display_name":"Six Talent Peaks Project in Jiangsu Province"},{"id":"https://openalex.org/G7317382233","display_name":null,"funder_award_id":"U1831127","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7608752429","display_name":null,"funder_award_id":"Talent","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8365947544","display_name":null,"funder_award_id":"61872189","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/F4320321605","display_name":"Government of Jiangsu Province","ror":"https://ror.org/004svx814"},{"id":"https://openalex.org/F4320326182","display_name":"Six Talent Peaks Project in Jiangsu Province","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2989531848.pdf","grobid_xml":"https://content.openalex.org/works/W2989531848.grobid-xml"},"referenced_works_count":34,"referenced_works":["https://openalex.org/W1665214252","https://openalex.org/W1836465849","https://openalex.org/W1849277567","https://openalex.org/W1885185971","https://openalex.org/W1982956952","https://openalex.org/W1987927366","https://openalex.org/W2003224325","https://openalex.org/W2018639934","https://openalex.org/W2056811372","https://openalex.org/W2082263501","https://openalex.org/W2088603520","https://openalex.org/W2098457997","https://openalex.org/W2102605133","https://openalex.org/W2109479674","https://openalex.org/W2109526535","https://openalex.org/W2112796928","https://openalex.org/W2121058967","https://openalex.org/W2133665775","https://openalex.org/W2147800946","https://openalex.org/W2150081556","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2242218935","https://openalex.org/W2615439916","https://openalex.org/W2618953255","https://openalex.org/W2756321087","https://openalex.org/W2792955223","https://openalex.org/W2793445582","https://openalex.org/W2794276902","https://openalex.org/W2795018073","https://openalex.org/W2803323658","https://openalex.org/W6639204139","https://openalex.org/W6655211182","https://openalex.org/W6674855086"],"related_works":["https://openalex.org/W2132659060","https://openalex.org/W2031992971","https://openalex.org/W2788731446","https://openalex.org/W2204403038","https://openalex.org/W3214791684","https://openalex.org/W3152170969","https://openalex.org/W2379054866","https://openalex.org/W2549658594","https://openalex.org/W2095903272","https://openalex.org/W2353265673"],"abstract_inverted_index":{"Spatiotemporal":[0],"fusion":[1,51,169,213,238],"provides":[2],"an":[3],"effective":[4,101],"way":[5],"to":[6,28,53,178],"fuse":[7],"two":[8,203],"types":[9],"of":[10,163,185,193,205],"remote":[11,57],"sensing":[12,58],"data":[13,31,59,133],"featured":[14],"by":[15,92],"complementary":[16],"spatial":[17,35],"and":[18,25,36,89,104,112,131,136,149,167,189,222],"temporal":[19,37],"properties":[20],"(typical":[21],"representatives":[22],"are":[23,200],"Landsat":[24,90,130,148,151,180,187,195],"MODIS":[26,88,132,177],"images)":[27],"generate":[29],"fused":[30],"with":[32,64],"both":[33],"high":[34],"resolutions.":[38],"This":[39],"paper":[40],"presents":[41],"a":[42,94,125,140,164,168],"very":[43],"deep":[44],"convolutional":[45],"neural":[46],"network":[47],"(VDCN)":[48],"based":[49,74,243],"spatiotemporal":[50],"approach":[52,234],"effectively":[54],"handle":[55],"massive":[56],"in":[60],"practical":[61],"applications.":[62],"Compared":[63],"existing":[65],"shallow":[66],"learning":[67,93],"methods,":[68],"especially":[69],"for":[70],"the":[71,76,81,87,107,120,146,182,190,212,215,223,232],"sparse":[72,241],"representation":[73,242],"ones,":[75],"proposed":[77,233],"VDCN-based":[78,165],"model":[79],"has":[80],"following":[82],"merits:":[83],"(1)":[84],"explicitly":[85],"correlating":[86],"images":[91],"non-linear":[95,110,126,174],"mapping":[96,127,175],"relationship;":[97],"(2)":[98],"automatically":[99],"extracting":[100],"image":[102,113],"features;":[103],"(3)":[105],"unifying":[106],"feature":[108],"extraction,":[109],"mapping,":[111],"reconstruction":[114],"into":[115],"one":[116,227],"optimization":[117],"framework.":[118],"In":[119],"training":[121],"stage,":[122],"we":[123,138],"train":[124,139],"between":[128,145],"downsampled":[129,150,179,186,194],"using":[134],"VDCN,":[135],"then":[137],"multi-scale":[141],"super-resolution":[142],"(MSSR)":[143],"VDCN":[144],"original":[147],"data.":[152],"The":[153],"prediction":[154,166,220],"procedure":[155],"contains":[156],"three":[157],"layers,":[158],"where":[159],"each":[160],"layer":[161],"consists":[162],"model.":[170],"These":[171],"layers":[172],"achieve":[173],"from":[176],"data,":[181,188,196],"two-times":[183],"SR":[184,192],"five-times":[191],"successively.":[197],"Extensive":[198],"evaluations":[199,217],"executed":[201],"on":[202,218,226],"groups":[204],"commonly":[206],"used":[207],"Landsat\u2013MODIS":[208],"benchmark":[209],"datasets.":[210],"For":[211],"results,":[214],"quantitative":[216],"all":[219],"dates":[221],"visual":[224],"effect":[225],"key":[228],"date":[229],"demonstrate":[230],"that":[231],"achieves":[235],"more":[236],"accurate":[237],"results":[239],"than":[240],"methods.":[244]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":4}],"updated_date":"2026-04-20T07:46:08.049788","created_date":"2019-11-22T00:00:00"}
