{"id":"https://openalex.org/W2914757358","doi":"https://doi.org/10.1109/tgrs.2018.2889677","title":"Cloud Detection in Remote Sensing Images Based on Multiscale Features-Convolutional Neural Network","display_name":"Cloud Detection in Remote Sensing Images Based on Multiscale Features-Convolutional Neural Network","publication_year":2019,"publication_date":"2019-01-24","ids":{"openalex":"https://openalex.org/W2914757358","doi":"https://doi.org/10.1109/tgrs.2018.2889677","mag":"2914757358"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2018.2889677","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2018.2889677","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/A5070629154","display_name":"Zhenfeng Shao","orcid":"https://orcid.org/0000-0003-4587-6826"},"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"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhenfeng Shao","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I4210118728","https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086363453","display_name":"Pan Yin","orcid":"https://orcid.org/0000-0003-3763-5600"},"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"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yin Pan","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0003-3763-5600","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I4210118728","https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053986999","display_name":"Chunyuan Diao","orcid":"https://orcid.org/0000-0002-1480-8444"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chunyuan Diao","raw_affiliation_strings":["Department of Geography and GIScience, University of Illinois at Urbana\u2013Champaign, Urbana, IL, USA"],"raw_orcid":"https://orcid.org/0000-0002-1480-8444","affiliations":[{"raw_affiliation_string":"Department of Geography and GIScience, University of Illinois at Urbana\u2013Champaign, Urbana, IL, USA","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005751586","display_name":"Jiajun Cai","orcid":"https://orcid.org/0000-0002-9316-7568"},"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"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiajun Cai","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-9316-7568","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I4210118728","https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5070629154"],"corresponding_institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210118728"],"apc_list":null,"apc_paid":null,"fwci":24.6532,"has_fulltext":false,"cited_by_count":234,"citation_normalized_percentile":{"value":0.99653547,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"57","issue":"6","first_page":"4062","last_page":"4076"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","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/T10689","display_name":"Remote-Sensing Image Classification","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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9994000196456909,"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":0.9986000061035156,"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/cloud-computing","display_name":"Cloud computing","score":0.7966168522834778},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.745560348033905},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6999480724334717},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.6899553537368774},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4729944169521332},{"id":"https://openalex.org/keywords/cirrus","display_name":"Cirrus","score":0.4694504141807556},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45167675614356995},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.41986721754074097},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34652769565582275},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.12965044379234314}],"concepts":[{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.7966168522834778},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.745560348033905},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6999480724334717},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6899553537368774},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4729944169521332},{"id":"https://openalex.org/C2781448682","wikidata":"https://www.wikidata.org/wiki/Q1093125","display_name":"Cirrus","level":2,"score":0.4694504141807556},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45167675614356995},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.41986721754074097},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34652769565582275},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.12965044379234314},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2018.2889677","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2018.2889677","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":[],"awards":[{"id":"https://openalex.org/G4252305548","display_name":null,"funder_award_id":"41771454","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6346682572","display_name":null,"funder_award_id":"61671332","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6366554838","display_name":null,"funder_award_id":"41771452","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G854679662","display_name":null,"funder_award_id":"41890820","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":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W625827677","https://openalex.org/W1522301498","https://openalex.org/W1603854802","https://openalex.org/W1903029394","https://openalex.org/W1942214758","https://openalex.org/W1967386275","https://openalex.org/W1985577182","https://openalex.org/W1992085857","https://openalex.org/W2006658325","https://openalex.org/W2013689051","https://openalex.org/W2017209939","https://openalex.org/W2019812041","https://openalex.org/W2025745000","https://openalex.org/W2028240797","https://openalex.org/W2031640526","https://openalex.org/W2035018374","https://openalex.org/W2040123031","https://openalex.org/W2063446453","https://openalex.org/W2066633241","https://openalex.org/W2076163444","https://openalex.org/W2084516844","https://openalex.org/W2096148850","https://openalex.org/W2096929714","https://openalex.org/W2106028653","https://openalex.org/W2114832532","https://openalex.org/W2166251851","https://openalex.org/W2315977332","https://openalex.org/W2333390289","https://openalex.org/W2358843280","https://openalex.org/W2395611524","https://openalex.org/W2412782625","https://openalex.org/W2415527843","https://openalex.org/W2465290353","https://openalex.org/W2514511683","https://openalex.org/W2548491386","https://openalex.org/W2557174233","https://openalex.org/W2600006874","https://openalex.org/W2605495192","https://openalex.org/W2624675266","https://openalex.org/W2734629852","https://openalex.org/W2748715875","https://openalex.org/W2755090963","https://openalex.org/W2766065766","https://openalex.org/W2770963917","https://openalex.org/W2807823288","https://openalex.org/W2810069315","https://openalex.org/W2887257732","https://openalex.org/W2964121744","https://openalex.org/W6631190155"],"related_works":["https://openalex.org/W2362757354","https://openalex.org/W2900527670","https://openalex.org/W4248832905","https://openalex.org/W2188428660","https://openalex.org/W2128182792","https://openalex.org/W2136543458","https://openalex.org/W4392264942","https://openalex.org/W2012607827","https://openalex.org/W2520966210","https://openalex.org/W4229749671"],"abstract_inverted_index":{"Cloud":[0],"detection":[1,26,54,181,193],"in":[2,30,49,144,183,209,216],"remote":[3,78],"sensing":[4,79],"images":[5,80],"is":[6,38,92,127,150,172],"a":[7,59,204],"challenging":[8],"but":[9,214],"significant":[10],"task.":[11],"Due":[12],"to":[13,41,68,94,118,130,156,174,190],"the":[14,23,96,120,132,145,158,195,217],"variety":[15],"and":[16,52,74,110,163,186,211],"complexity":[17],"of":[18,22,77,89,98,114,136,147,168,176],"underlying":[19],"surfaces,":[20],"most":[21],"current":[24],"cloud":[25,33,50,90,180,192,219],"methods":[27,182],"have":[28],"difficulty":[29],"detecting":[31],"thin":[32,43,70,162,212],"regions.":[34,165,220],"In":[35],"fact,":[36],"it":[37],"quite":[39],"meaningful":[40],"distinguish":[42],"clouds":[44,213],"from":[45],"thick":[46,72,210],"clouds,":[47],"especially":[48],"removal":[51],"target":[53],"tasks.":[55],"Therefore,":[56],"we":[57],"propose":[58],"method":[60,202],"based":[61],"on":[62],"multiscale":[63,133],"features-convolutional":[64],"neural":[65],"network":[66],"(MF-CNN)":[67],"detect":[69],"cloud,":[71,73],"noncloud":[75,164],"pixels":[76],"simultaneously.":[81],"Landsat":[82,115],"8":[83,116],"satellite":[84],"imagery":[85,117,159],"with":[86,152],"various":[87,177],"levels":[88],"coverage":[91],"used":[93,129,179],"demonstrate":[95],"effectiveness":[97],"our":[99,169,200],"proposed":[100,170,201],"MF-CNN":[101,125],"model.":[102],"We":[103],"first":[104],"stack":[105],"visible,":[106],"near-infrared,":[107],"short-wave,":[108],"cirrus,":[109],"thermal":[111],"infrared":[112],"bands":[113],"obtain":[119],"combined":[121],"spectral":[122],"information.":[123],"The":[124,139,166],"model":[126,171],"then":[128],"learn":[131],"global":[134],"features":[135],"input":[137],"images.":[138],"high-level":[140],"semantic":[141],"information":[142,155],"obtained":[143],"process":[146],"feature":[148],"learning":[149],"integrated":[151],"low-level":[153],"spatial":[154],"classify":[157],"into":[160],"thick,":[161],"performance":[167,206],"compared":[173],"that":[175,199],"commonly":[178],"both":[184],"qualitative":[185],"quantitative":[187],"aspects.":[188],"Compared":[189],"other":[191],"methods,":[194],"experimental":[196],"results":[197],"show":[198],"has":[203],"better":[205],"not":[207],"only":[208],"also":[215],"entire":[218]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":24},{"year":2024,"cited_by_count":45},{"year":2023,"cited_by_count":25},{"year":2022,"cited_by_count":40},{"year":2021,"cited_by_count":49},{"year":2020,"cited_by_count":42},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":1}],"updated_date":"2026-04-24T08:23:43.765630","created_date":"2025-10-10T00:00:00"}