{"id":"https://openalex.org/W1608371111","doi":"https://doi.org/10.1109/jstars.2015.2438015","title":"Scene Learning for Cloud Detection on Remote-Sensing Images","display_name":"Scene Learning for Cloud Detection on Remote-Sensing Images","publication_year":2015,"publication_date":"2015-07-21","ids":{"openalex":"https://openalex.org/W1608371111","doi":"https://doi.org/10.1109/jstars.2015.2438015","mag":"1608371111"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2015.2438015","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstars.2015.2438015","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":false,"is_in_doaj":true,"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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"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/A5010107912","display_name":"Zhenyu An","orcid":"https://orcid.org/0000-0002-8672-2009"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenyu An","raw_affiliation_strings":["Image Processing Center, School of Astronautics, Beihang University, Beijing, China","[State Key Laboratory of Virtual Reality Technology and Systems, School of Astronautics, Beihang University, Beijing, China]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Image Processing Center, School of Astronautics, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"[State Key Laboratory of Virtual Reality Technology and Systems, School of Astronautics, Beihang University, Beijing, China]","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058849690","display_name":"Zhenwei Shi","orcid":"https://orcid.org/0000-0002-4772-3172"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenwei Shi","raw_affiliation_strings":["Image Processing Center, School of Astronautics, Beihang University, Beijing, China","[State Key Laboratory of Virtual Reality Technology and Systems, School of Astronautics, Beihang University, Beijing, China]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Image Processing Center, School of Astronautics, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"[State Key Laboratory of Virtual Reality Technology and Systems, School of Astronautics, Beihang University, Beijing, China]","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":null,"fwci":7.5757,"has_fulltext":false,"cited_by_count":61,"citation_normalized_percentile":{"value":0.97182583,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"8","issue":"8","first_page":"4206","last_page":"4222"},"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":0.995199978351593,"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":0.9878000020980835,"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":0.6805355548858643},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6790568828582764},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.6736304759979248},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4700835049152374},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43407657742500305},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.16587412357330322}],"concepts":[{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.6805355548858643},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6790568828582764},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6736304759979248},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4700835049152374},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43407657742500305},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.16587412357330322},{"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/jstars.2015.2438015","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstars.2015.2438015","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":false,"is_in_doaj":true,"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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1596967197","display_name":null,"funder_award_id":"91120301","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2331235025","display_name":null,"funder_award_id":"YWF-15-YHXY-003","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G3106013787","display_name":null,"funder_award_id":"NCET-11-0775","funder_id":"https://openalex.org/F4320334924","funder_display_name":"Program for New Century Excellent Talents in University"},{"id":"https://openalex.org/G3255666262","display_name":null,"funder_award_id":"YWF-14-YHXY-028","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G7869149653","display_name":null,"funder_award_id":"61273245","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/F4320334924","display_name":"Program for New Century Excellent Talents in University","ror":"https://ror.org/01mv9t934"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W1526740462","https://openalex.org/W1561442812","https://openalex.org/W1964443764","https://openalex.org/W1968776643","https://openalex.org/W1996550590","https://openalex.org/W1997887332","https://openalex.org/W2001599060","https://openalex.org/W2017209939","https://openalex.org/W2024423687","https://openalex.org/W2026356722","https://openalex.org/W2029116331","https://openalex.org/W2029542629","https://openalex.org/W2031963559","https://openalex.org/W2040378863","https://openalex.org/W2057513844","https://openalex.org/W2067191022","https://openalex.org/W2068124105","https://openalex.org/W2073459066","https://openalex.org/W2078718577","https://openalex.org/W2084516844","https://openalex.org/W2087866348","https://openalex.org/W2098684142","https://openalex.org/W2105147739","https://openalex.org/W2108896333","https://openalex.org/W2116040950","https://openalex.org/W2127313798","https://openalex.org/W2129749203","https://openalex.org/W2133059825","https://openalex.org/W2145214568","https://openalex.org/W2161160262","https://openalex.org/W2161969291","https://openalex.org/W2163352848","https://openalex.org/W2163808566","https://openalex.org/W2163957348","https://openalex.org/W2165734775","https://openalex.org/W2167077256","https://openalex.org/W6668990524","https://openalex.org/W6680096826","https://openalex.org/W7018056385"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Cloud":[0,157],"detection":[1],"plays":[2],"a":[3,14,36,49,73,80,118],"major":[4],"role":[5],"for":[6,151],"remote-sensing":[7],"image":[8,42,71,95,132,145],"processing.":[9],"To":[10],"accomplish":[11],"the":[12,21,40,59,84,97,164,168,186,195,207,234,241,244],"task,":[13],"novel":[15],"automatic":[16],"supervised":[17],"approach":[18],"based":[19,161],"on":[20,39,90,162],"\u201cscene-learning\u201d":[22],"scheme":[23,102],"is":[24,48,53,87,149,159,176],"proposed":[25,245],"in":[26,69],"this":[27],"paper.":[28],"Scene":[29],"learning":[30,63,112,223],"aims":[31],"at":[32],"training":[33,70,154],"and":[34,75,109,113,139,147,155,171,188,212,230],"applying":[35],"cloud":[37,45,81,110,152,191],"detector":[38,46,111,153,158,175,187],"whole":[41],"scenes.":[43],"The":[44,174],"herein":[47],"special":[50],"classifier":[51],"that":[52,214],"used":[54,150],"to":[55,78,178,194,218],"separate":[56],"clouds":[57],"from":[58],"backgrounds.":[60],"Concretely,":[61],"scene":[62,222],"regards":[64],"each":[65,91],"pixel":[66,92],"of":[67,93,120,182,209,221,228,233,243],"scenes":[68],"as":[72],"sample,":[74],"uses":[76],"it":[77,148],"train":[79],"detector.":[82,99],"Accordingly,":[83],"detecting":[85],"process":[86],"also":[88,204],"implemented":[89],"testing":[94,196],"using":[96],"trained":[98,180],"Generally,":[100],"scene-learning":[101],"contains":[103],"two":[104],"modules:":[105],"feature":[106,126,169,210],"data":[107,123,142,170],"simulating":[108],"applying.":[114,156],"We":[115,203],"first":[116],"simulate":[117],"kind":[119],"cubic":[121],"structural":[122],"(also":[124],"named":[125],"data)":[127],"by":[128],"stacking":[129],"different":[130,144],"fundamental":[131],"features,":[133,146],"including":[134],"color,":[135],"statistical":[136],"information,":[137],"texture,":[138],"structure.":[140],"Such":[141],"synthesize":[143],"designed":[160],"minimizing":[163],"residual":[165],"error":[166],"between":[167],"its":[172,183],"labels.":[173],"easy":[177],"be":[179],"because":[181],"closed-form.":[184],"Applying":[185],"some":[189],"necessary":[190],"refinement":[192],"methods":[193],"images,":[197],"we":[198],"could":[199],"finally":[200],"detect":[201],"clouds.":[202],"theoretically":[205],"analyze":[206],"influence":[208],"number":[211],"prove":[213],"more":[215],"features":[216],"lead":[217],"better":[219],"performance":[220],"under":[224],"certain":[225],"circumstance.":[226],"Comparisons":[227],"qualitative":[229],"quantitative":[231],"analyses":[232],"experimental":[235],"results":[236],"are":[237],"implemented.":[238],"Results":[239],"indicate":[240],"efficacy":[242],"method.":[246]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":8},{"year":2017,"cited_by_count":8},{"year":2016,"cited_by_count":2}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
