{"id":"https://openalex.org/W2925392274","doi":"https://doi.org/10.1109/tgrs.2019.2903594","title":"A Coarse-to-Fine Framework for Cloud Removal in Remote Sensing Image Sequence","display_name":"A Coarse-to-Fine Framework for Cloud Removal in Remote Sensing Image Sequence","publication_year":2019,"publication_date":"2019-03-27","ids":{"openalex":"https://openalex.org/W2925392274","doi":"https://doi.org/10.1109/tgrs.2019.2903594","mag":"2925392274"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2019.2903594","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2019.2903594","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5108625236","display_name":"Yongjun Zhang","orcid":"https://orcid.org/0000-0001-9845-4251"},"institutions":[{"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":"Yongjun Zhang","raw_affiliation_strings":["School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011053040","display_name":"Fei Wen","orcid":"https://orcid.org/0000-0003-2056-0243"},"institutions":[{"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":false,"raw_author_name":"Fei Wen","raw_affiliation_strings":["School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084683976","display_name":"Zhi Gao","orcid":"https://orcid.org/0000-0003-3325-1183"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Zhi Gao","raw_affiliation_strings":["Temasek Laboratories, National University of Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"Temasek Laboratories, National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011629374","display_name":"Xiao Ling","orcid":"https://orcid.org/0000-0001-5890-0691"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiao Ling","raw_affiliation_strings":["Future Cites Laboratory, Singapore-ETH Center, Singapore"],"affiliations":[{"raw_affiliation_string":"Future Cites Laboratory, Singapore-ETH Center, Singapore","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5108625236"],"corresponding_institution_ids":["https://openalex.org/I37461747"],"apc_list":null,"apc_paid":null,"fwci":4.9993,"has_fulltext":false,"cited_by_count":50,"citation_normalized_percentile":{"value":0.95590697,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":93,"max":99},"biblio":{"volume":"57","issue":"8","first_page":"5963","last_page":"5974"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9993000030517578,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9993000030517578,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9991999864578247,"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":0.9975000023841858,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7775071263313293},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.7661583423614502},{"id":"https://openalex.org/keywords/robust-principal-component-analysis","display_name":"Robust principal component analysis","score":0.6296834349632263},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.587293267250061},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.4847704768180847},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46573296189308167},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4547750651836395},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.452392041683197},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3875196576118469},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.37883493304252625},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.3559250831604004},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3424723148345947},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.1247529685497284}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7775071263313293},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.7661583423614502},{"id":"https://openalex.org/C2777749129","wikidata":"https://www.wikidata.org/wiki/Q17148469","display_name":"Robust principal component analysis","level":3,"score":0.6296834349632263},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.587293267250061},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.4847704768180847},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46573296189308167},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4547750651836395},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.452392041683197},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3875196576118469},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.37883493304252625},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.3559250831604004},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3424723148345947},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.1247529685497284},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2019.2903594","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2019.2903594","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.5600000023841858},{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.4000000059604645}],"awards":[{"id":"https://openalex.org/G3593192037","display_name":null,"funder_award_id":"2018YFB0505003","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8429579426","display_name":null,"funder_award_id":"41571434","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/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W1507528981","https://openalex.org/W1510982829","https://openalex.org/W1564354676","https://openalex.org/W1736339626","https://openalex.org/W1963768209","https://openalex.org/W1974042113","https://openalex.org/W1982867473","https://openalex.org/W1998557720","https://openalex.org/W2016331656","https://openalex.org/W2031061770","https://openalex.org/W2051058200","https://openalex.org/W2059639989","https://openalex.org/W2070604790","https://openalex.org/W2085669808","https://openalex.org/W2085793179","https://openalex.org/W2087018183","https://openalex.org/W2090702492","https://openalex.org/W2099095787","https://openalex.org/W2100556411","https://openalex.org/W2103972604","https://openalex.org/W2108687351","https://openalex.org/W2111861511","https://openalex.org/W2118246710","https://openalex.org/W2145569126","https://openalex.org/W2145962650","https://openalex.org/W2149676023","https://openalex.org/W2160813243","https://openalex.org/W2163665255","https://openalex.org/W2333267146","https://openalex.org/W2528677926","https://openalex.org/W2557174233","https://openalex.org/W2584156879","https://openalex.org/W2788008270","https://openalex.org/W2802410550","https://openalex.org/W2997095758","https://openalex.org/W3001217199","https://openalex.org/W3103964896","https://openalex.org/W3111652977","https://openalex.org/W6633899590","https://openalex.org/W6641824200","https://openalex.org/W6676634215"],"related_works":["https://openalex.org/W2991135868","https://openalex.org/W3037121946","https://openalex.org/W4387454008","https://openalex.org/W4283792950","https://openalex.org/W2549425886","https://openalex.org/W2124460284","https://openalex.org/W2136668498","https://openalex.org/W2563483704","https://openalex.org/W2798801347","https://openalex.org/W3003801099"],"abstract_inverted_index":{"Clouds":[0],"and":[1,100,111,140,175,189],"accompanying":[2,109],"shadows,":[3],"which":[4],"exist":[5],"in":[6,23,72,180],"optical":[7],"remote":[8,53,74],"sensing":[9,54,75],"images":[10],"with":[11,43,47,61],"high":[12],"possibility,":[13],"can":[14],"degrade":[15],"or":[16,33],"even":[17],"completely":[18],"occlude":[19],"certain":[20],"ground-cover":[21],"information":[22],"images,":[24],"limiting":[25],"their":[26],"applicabilities":[27],"for":[28,69],"Earth":[29],"observation,":[30],"change":[31],"detection,":[32],"land-cover":[34],"classification.":[35],"In":[36],"this":[37],"paper,":[38],"we":[39,64,82,144],"aim":[40],"to":[41,104,125,130,136,152,162],"deal":[42],"cloud":[44,70,87,134,138,174],"contamination":[45],"problems":[46],"the":[48,73,85,91,95,131,154,157],"objective":[49],"of":[50,90,156,173],"generating":[51],"cloud-removed":[52],"images.":[55],"Inspired":[56],"by":[57],"low-rank":[58,96,150],"representation":[59],"together":[60],"sparsity":[62],"constraints,":[63],"propose":[65],"a":[66,115,149],"coarse-to-fine":[67],"framework":[68],"removal":[71,139],"image":[76,88,158],"sequence.":[77,159],"Leveraging":[78],"on":[79,185],"group-sparsity":[80],"constraint,":[81],"first":[83],"decompose":[84],"observed":[86],"sequence":[89],"same":[92],"area":[93],"into":[94,148],"component,":[97],"group-sparse":[98],"outliers,":[99],"sparse":[101],"noise,":[102],"corresponding":[103],"cloud-free":[105,167],"land-covers,":[106],"clouds":[107],"(and":[108],"shadows),":[110],"noise":[112],"respectively.":[113],"Subsequently,":[114],"discriminative":[116],"robust":[117],"principal":[118],"component":[119],"analysis":[120],"(RPCA)":[121],"algorithm":[122],"is":[123],"utilized":[124],"assign":[126],"aggressive":[127],"penalizing":[128],"weights":[129],"initially":[132],"detected":[133],"pixels":[135],"facilitate":[137],"scene":[141],"restoration.":[142],"Moreover,":[143],"incorporate":[145],"geometrical":[146],"transformation":[147],"model":[151],"address":[153],"misalignment":[155],"Significantly":[160],"superior":[161],"conventional":[163],"cloud-removal":[164],"methods,":[165],"neither":[166],"reference":[168],"image(s)":[169],"nor":[170],"additional":[171],"operations":[172],"shadow":[176],"detection":[177],"are":[178],"required":[179],"our":[181,194],"method.":[182],"Extensive":[183],"experiments":[184],"both":[186],"simulated":[187],"data":[188,191],"real":[190],"demonstrate":[192],"that":[193],"method":[195],"works":[196],"effectively,":[197],"outperforming":[198],"many":[199],"state-of-the-art":[200],"approaches.":[201]},"counts_by_year":[{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":14},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
