{"id":"https://openalex.org/W3137397516","doi":"https://doi.org/10.3390/rs13061079","title":"Generative Adversarial Learning in YUV Color Space for Thin Cloud Removal on Satellite Imagery","display_name":"Generative Adversarial Learning in YUV Color Space for Thin Cloud Removal on Satellite Imagery","publication_year":2021,"publication_date":"2021-03-12","ids":{"openalex":"https://openalex.org/W3137397516","doi":"https://doi.org/10.3390/rs13061079","mag":"3137397516"},"language":"en","primary_location":{"id":"doi:10.3390/rs13061079","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs13061079","pdf_url":"https://www.mdpi.com/2072-4292/13/6/1079/pdf?version=1615774290","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/2072-4292/13/6/1079/pdf?version=1615774290","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101756266","display_name":"Xue Wen","orcid":"https://orcid.org/0000-0001-9598-1224"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xue Wen","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China","Key Laboratory of Technology in Geo-Spatial Information Processing and Application System, Chinese Academy of Sciences, Beijing 100190, China","School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 101408, China"],"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Key Laboratory of Technology in Geo-Spatial Information Processing and Application System, Chinese Academy of Sciences, Beijing 100190, China","institution_ids":["https://openalex.org/I19820366"]},{"raw_affiliation_string":"School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 101408, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032116461","display_name":"Zongxu Pan","orcid":"https://orcid.org/0000-0002-5041-3300"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zongxu Pan","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China","Key Laboratory of Technology in Geo-Spatial Information Processing and Application System, Chinese Academy of Sciences, Beijing 100190, China","School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 101408, China"],"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Key Laboratory of Technology in Geo-Spatial Information Processing and Application System, Chinese Academy of Sciences, Beijing 100190, China","institution_ids":["https://openalex.org/I19820366"]},{"raw_affiliation_string":"School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 101408, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101678186","display_name":"Yuxin Hu","orcid":"https://orcid.org/0000-0003-4263-7467"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuxin Hu","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China","Key Laboratory of Technology in Geo-Spatial Information Processing and Application System, Chinese Academy of Sciences, Beijing 100190, China","School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 101408, China"],"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Key Laboratory of Technology in Geo-Spatial Information Processing and Application System, Chinese Academy of Sciences, Beijing 100190, China","institution_ids":["https://openalex.org/I19820366"]},{"raw_affiliation_string":"School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 101408, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108050252","display_name":"Jiayin Liu","orcid":"https://orcid.org/0000-0001-7554-9661"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiayin Liu","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China","Key Laboratory of Technology in Geo-Spatial Information Processing and Application System, Chinese Academy of Sciences, Beijing 100190, China","School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 101408, China"],"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Key Laboratory of Technology in Geo-Spatial Information Processing and Application System, Chinese Academy of Sciences, Beijing 100190, China","institution_ids":["https://openalex.org/I19820366"]},{"raw_affiliation_string":"School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 101408, China","institution_ids":["https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5032116461"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210137199","https://openalex.org/I4210165038"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":4.4112,"has_fulltext":false,"cited_by_count":56,"citation_normalized_percentile":{"value":0.94945827,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"13","issue":"6","first_page":"1079","last_page":"1079"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9994000196456909,"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":0.996399998664856,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7985804080963135},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7363035678863525},{"id":"https://openalex.org/keywords/discriminator","display_name":"Discriminator","score":0.542801022529602},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.5392524003982544},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5328686237335205},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.46843773126602173},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.45862311124801636},{"id":"https://openalex.org/keywords/visibility","display_name":"Visibility","score":0.4218302071094513},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38089725375175476},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1208457350730896}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7985804080963135},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7363035678863525},{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.542801022529602},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.5392524003982544},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5328686237335205},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.46843773126602173},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.45862311124801636},{"id":"https://openalex.org/C123403432","wikidata":"https://www.wikidata.org/wiki/Q654068","display_name":"Visibility","level":2,"score":0.4218302071094513},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38089725375175476},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1208457350730896},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"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},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs13061079","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs13061079","pdf_url":"https://www.mdpi.com/2072-4292/13/6/1079/pdf?version=1615774290","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:afce6ce42a064f928fa035e0768fcfbd","is_oa":true,"landing_page_url":"https://doaj.org/article/afce6ce42a064f928fa035e0768fcfbd","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 13, Iss 6, p 1079 (2021)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/13/6/1079/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs13061079","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","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs13061079","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs13061079","pdf_url":"https://www.mdpi.com/2072-4292/13/6/1079/pdf?version=1615774290","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":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.6800000071525574}],"awards":[{"id":"https://openalex.org/G5495319849","display_name":null,"funder_award_id":"61701478","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"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3137397516.pdf","grobid_xml":"https://content.openalex.org/works/W3137397516.grobid-xml"},"referenced_works_count":50,"referenced_works":["https://openalex.org/W1526740462","https://openalex.org/W1901129140","https://openalex.org/W1924870280","https://openalex.org/W1974933922","https://openalex.org/W1990592195","https://openalex.org/W1998557720","https://openalex.org/W2028191110","https://openalex.org/W2031963559","https://openalex.org/W2066633241","https://openalex.org/W2068124105","https://openalex.org/W2083577712","https://openalex.org/W2114867966","https://openalex.org/W2121880036","https://openalex.org/W2128254161","https://openalex.org/W2137987480","https://openalex.org/W2194775991","https://openalex.org/W2248723555","https://openalex.org/W2333390289","https://openalex.org/W2588000623","https://openalex.org/W2730249686","https://openalex.org/W2736566689","https://openalex.org/W2739748921","https://openalex.org/W2748024244","https://openalex.org/W2752788177","https://openalex.org/W2785924090","https://openalex.org/W2787630273","https://openalex.org/W2891150856","https://openalex.org/W2891158090","https://openalex.org/W2896979201","https://openalex.org/W2900639982","https://openalex.org/W2901339722","https://openalex.org/W2901389936","https://openalex.org/W2902225348","https://openalex.org/W2910101086","https://openalex.org/W2923782278","https://openalex.org/W2927122915","https://openalex.org/W2946072066","https://openalex.org/W2946349008","https://openalex.org/W2963073614","https://openalex.org/W2963881378","https://openalex.org/W2964309882","https://openalex.org/W2982092116","https://openalex.org/W2983309662","https://openalex.org/W2990641522","https://openalex.org/W3035002246","https://openalex.org/W3038579873","https://openalex.org/W3041874188","https://openalex.org/W3082783754","https://openalex.org/W3105052070","https://openalex.org/W6647720530"],"related_works":["https://openalex.org/W4293202849","https://openalex.org/W1980965563","https://openalex.org/W1489300767","https://openalex.org/W2387995142","https://openalex.org/W4380714744","https://openalex.org/W4319453655","https://openalex.org/W2089959425","https://openalex.org/W2057775761","https://openalex.org/W1608433645","https://openalex.org/W2964074194"],"abstract_inverted_index":{"Clouds":[0],"are":[1],"one":[2],"of":[3,18,24,104,137,150,187,232],"the":[4,22,58,102,115,135,141,160,170,185,188,218,230],"most":[5,76],"serious":[6],"disturbances":[7],"when":[8],"using":[9,151],"satellite":[10,33],"imagery":[11],"for":[12,43],"ground":[13,26],"observations.":[14],"The":[15],"semi-translucent":[16],"nature":[17],"thin":[19,44,87],"clouds":[20],"provides":[21],"possibility":[23],"2D":[25],"scene":[27,138],"reconstruction":[28],"based":[29],"on":[30,198],"a":[31,50,54,61,118,131,144,221],"single":[32],"image.":[34],"In":[35],"this":[36],"paper,":[37],"we":[38],"propose":[39],"an":[40],"effective":[41],"framework":[42],"cloud":[45,88],"removal":[46,89],"involving":[47],"two":[48],"aspects:":[49],"network":[51,59,65,121],"architecture":[52],"and":[53,93,107,124,195,200],"training":[55,142,223,234],"strategy.":[56],"For":[57,140],"architecture,":[60],"Wasserstein":[62],"generative":[63],"adversarial":[64],"(WGAN)":[66],"in":[67,79,229],"YUV":[68],"color":[69,81],"space":[70],"called":[71],"YUV-GAN":[72,171,206,219],"is":[73,98],"proposed.":[74],"Unlike":[75],"existing":[77],"approaches":[78],"RGB":[80],"space,":[82],"our":[83,205,215],"method":[84,146,216],"performs":[85],"end-to-end":[86],"by":[90,180],"learning":[91],"luminance":[92],"chroma":[94],"components":[95],"independently,":[96],"which":[97,127],"efficient":[99],"at":[100,172],"reducing":[101],"number":[103],"unrecoverable":[105],"bright":[106],"dark":[108],"pixels.":[109],"To":[110],"preserve":[111],"more":[112],"detailed":[113],"features,":[114],"generator":[116],"adopts":[117],"residual":[119,132],"encoding\u2013decoding":[120],"without":[122],"down-sampling":[123],"up-sampling":[125],"layers,":[126],"effectively":[128],"competes":[129],"with":[130,211,220],"discriminator,":[133],"encouraging":[134],"accuracy":[136],"identification.":[139],"strategy,":[143],"transfer-learning-based":[145,222],"was":[147],"applied.":[148],"Instead":[149],"either":[152],"simulated":[153,164],"or":[154],"scarce":[155,233],"real":[156,181,191],"data":[157],"to":[158,168,183,190,226],"train":[159,169],"deep":[161],"network,":[162],"adequate":[163],"pairs":[165,182],"were":[166,178],"used":[167],"first.":[173],"Then,":[174],"pre-trained":[175],"convolutional":[176],"layers":[177],"optimized":[179],"encourage":[184],"applicability":[186],"model":[189],"cloudy":[192],"images.":[193],"Qualitative":[194],"quantitative":[196],"results":[197],"RICE1":[199],"Sentinel-2A":[201],"datasets":[202],"confirmed":[203],"that":[204],"achieved":[207],"state-of-the-art":[208],"performance":[209,228],"compared":[210],"other":[212],"approaches.":[213],"Additionally,":[214],"combining":[217],"strategy":[224],"led":[225],"better":[227],"case":[231],"data.":[235]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":18},{"year":2024,"cited_by_count":13},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":12}],"updated_date":"2026-03-31T07:56:22.981413","created_date":"2025-10-10T00:00:00"}