{"id":"https://openalex.org/W4312566319","doi":"https://doi.org/10.1109/igarss46834.2022.9883836","title":"Building a Landsat-8 Cloud Detection Sample Database Using a Semi-Supervised Learning Method","display_name":"Building a Landsat-8 Cloud Detection Sample Database Using a Semi-Supervised Learning Method","publication_year":2022,"publication_date":"2022-07-17","ids":{"openalex":"https://openalex.org/W4312566319","doi":"https://doi.org/10.1109/igarss46834.2022.9883836"},"language":"en","primary_location":{"id":"doi:10.1109/igarss46834.2022.9883836","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss46834.2022.9883836","pdf_url":null,"source":{"id":"https://openalex.org/S4363604196","display_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-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/A5103144852","display_name":"Guihua Huang","orcid":"https://orcid.org/0000-0003-0908-6827"},"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":"Guihua Huang","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/A5040062050","display_name":"Tao He","orcid":"https://orcid.org/0000-0003-2079-7988"},"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":"Tao He","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":"last","author":{"id":"https://openalex.org/A5024533687","display_name":"Daiqiang Wu","orcid":null},"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":"Daiqiang Wu","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"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5103144852"],"corresponding_institution_ids":["https://openalex.org/I37461747"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.26084928,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3083","last_page":"3086"},"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9980999827384949,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9973999857902527,"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/cloud-computing","display_name":"Cloud computing","score":0.8240877389907837},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7946276664733887},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.640774130821228},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.6385249495506287},{"id":"https://openalex.org/keywords/representativeness-heuristic","display_name":"Representativeness heuristic","score":0.5963909029960632},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5492961406707764},{"id":"https://openalex.org/keywords/data-pre-processing","display_name":"Data pre-processing","score":0.5392872095108032},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.4868304133415222},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.46685415506362915},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4324495792388916},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42996105551719666},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.4132484495639801},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.39750370383262634}],"concepts":[{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.8240877389907837},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7946276664733887},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.640774130821228},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.6385249495506287},{"id":"https://openalex.org/C37381756","wikidata":"https://www.wikidata.org/wiki/Q20203288","display_name":"Representativeness heuristic","level":2,"score":0.5963909029960632},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5492961406707764},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.5392872095108032},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.4868304133415222},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.46685415506362915},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4324495792388916},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42996105551719666},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.4132484495639801},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.39750370383262634},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss46834.2022.9883836","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss46834.2022.9883836","pdf_url":null,"source":{"id":"https://openalex.org/S4363604196","display_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.49000000953674316,"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land"}],"awards":[{"id":"https://openalex.org/G967177310","display_name":null,"funder_award_id":"42090012","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W2028240797","https://openalex.org/W2094817543","https://openalex.org/W2153939756","https://openalex.org/W2589780155","https://openalex.org/W2605847660","https://openalex.org/W2910101086","https://openalex.org/W2946072066","https://openalex.org/W2950314938","https://openalex.org/W3080368312","https://openalex.org/W3130494073"],"related_works":["https://openalex.org/W2989490741","https://openalex.org/W3092506759","https://openalex.org/W2367545121","https://openalex.org/W4248881655","https://openalex.org/W2482165163","https://openalex.org/W3010890513","https://openalex.org/W120741642","https://openalex.org/W138569904","https://openalex.org/W2390914021","https://openalex.org/W2389417819"],"abstract_inverted_index":{"Cloud":[0],"detection":[1,51],"of":[2,19,27,34,60,70,156],"satellite":[3,45],"images":[4],"is":[5,84],"an":[6,31],"important":[7],"preprocessing":[8],"step":[9],"for":[10],"remote":[11],"sensing":[12],"applications":[13],"due":[14],"to":[15,41,76,102],"the":[16,25,38,68,108,116,125,131,137,154,157],"adverse":[17],"effect":[18],"clouds":[20,43],"on":[21],"data":[22],"analysis.":[23],"With":[24],"development":[26],"machine":[28,48],"learning":[29],"methods,":[30],"increasing":[32],"number":[33,59],"studies":[35],"have":[36],"applied":[37],"state-of-art":[39],"technology":[40],"detect":[42],"in":[44],"imagery.":[46],"However,":[47],"learning-based":[49],"cloud":[50,71,104,128],"methods":[52],"are":[53],"often":[54],"limited":[55],"by":[56,107,136],"a":[57,74,79,85,91],"small":[58],"training":[61,81],"samples":[62,105],"with":[63,149],"insufficient":[64],"representativeness.":[65],"To":[66],"improve":[67],"robustness":[69],"detection,":[72],"developing":[73],"method":[75],"automatically":[77],"construct":[78],"reliable":[80],"sample":[82,117,138],"database":[83,139],"meaningful":[86],"issue.":[87],"This":[88],"paper":[89],"explores":[90],"hybrid":[92],"Erosion":[93],"morphology":[94],"processing":[95],"and":[96],"Disagreement-based":[97],"Semi-supervised":[98],"Learning":[99],"model":[100,134],"(EDSL)":[101],"refine":[103],"generated":[106],"widely-used":[109],"Fmask":[110,127,150],"algorithm.":[111],"Experimental":[112],"results":[113],"show":[114],"that":[115],"accuracy":[118,145],"after":[119,140],"refinement":[120,142],"could":[121],"be":[122],"improved":[123],"from":[124],"original":[126],"masks.":[129],"Further,":[130],"random":[132],"forest":[133],"trained":[135],"EDSL":[141],"achieves":[143],"comparable":[144],"but":[146],"higher":[147],"efficiency":[148],"algorithm,":[151],"thus":[152],"proving":[153],"effectiveness":[155],"above":[158],"method.":[159]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}