{"id":"https://openalex.org/W2603215277","doi":"https://doi.org/10.1109/lgrs.2017.2676007","title":"Ground-Based Cloud Detection Using Graph Model Built Upon Superpixels","display_name":"Ground-Based Cloud Detection Using Graph Model Built Upon Superpixels","publication_year":2017,"publication_date":"2017-03-23","ids":{"openalex":"https://openalex.org/W2603215277","doi":"https://doi.org/10.1109/lgrs.2017.2676007","mag":"2603215277"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2017.2676007","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2017.2676007","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","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/A5034893282","display_name":"Cunzhao Shi","orcid":"https://orcid.org/0000-0002-5624-8166"},"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/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cunzhao Shi","raw_affiliation_strings":["State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-5624-8166","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101939502","display_name":"Yu Wang","orcid":"https://orcid.org/0000-0002-5458-5513"},"institutions":[{"id":"https://openalex.org/I181877577","display_name":"Shanxi University","ror":"https://ror.org/03y3e3s17","country_code":"CN","type":"education","lineage":["https://openalex.org/I181877577"]},{"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/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Wang","raw_affiliation_strings":["School of Software, Shanxi University, Taiyuan, China","State Key Laboratory of Management and Control for Complex Systems, Institute ofAutomation, Chinese Academy of Sciences"],"raw_orcid":"https://orcid.org/0000-0002-5458-5513","affiliations":[{"raw_affiliation_string":"School of Software, Shanxi University, Taiyuan, China","institution_ids":["https://openalex.org/I181877577"]},{"raw_affiliation_string":"State Key Laboratory of Management and Control for Complex Systems, Institute ofAutomation, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041494720","display_name":"Chunheng Wang","orcid":"https://orcid.org/0000-0002-9589-8284"},"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/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunheng Wang","raw_affiliation_strings":["State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101410361","display_name":"Baihua Xiao","orcid":null},"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/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baihua Xiao","raw_affiliation_strings":["State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.5769,"has_fulltext":false,"cited_by_count":46,"citation_normalized_percentile":{"value":0.91139858,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"14","issue":"5","first_page":"719","last_page":"723"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9973000288009644,"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":0.9973000288009644,"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":0.9940000176429749,"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":0.9879999756813049,"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/computer-science","display_name":"Computer science","score":0.7587577104568481},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.6325100660324097},{"id":"https://openalex.org/keywords/unary-operation","display_name":"Unary operation","score":0.6124316453933716},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5716762542724609},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5616111755371094},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5385500192642212},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5186440348625183},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4809117317199707},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.45407968759536743},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.44562989473342896},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.43209007382392883},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4232657253742218},{"id":"https://openalex.org/keywords/sky","display_name":"Sky","score":0.4179065525531769},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3168798089027405},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.190364807844162},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13207924365997314},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.11262628436088562}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7587577104568481},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.6325100660324097},{"id":"https://openalex.org/C78023250","wikidata":"https://www.wikidata.org/wiki/Q657596","display_name":"Unary operation","level":2,"score":0.6124316453933716},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5716762542724609},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5616111755371094},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5385500192642212},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5186440348625183},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4809117317199707},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.45407968759536743},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.44562989473342896},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.43209007382392883},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4232657253742218},{"id":"https://openalex.org/C73329638","wikidata":"https://www.wikidata.org/wiki/Q527","display_name":"Sky","level":2,"score":0.4179065525531769},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3168798089027405},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.190364807844162},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13207924365997314},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.11262628436088562},{"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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2017.2676007","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2017.2676007","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.7799999713897705}],"awards":[{"id":"https://openalex.org/G2949822198","display_name":"\u7a7a\u5929\u5730\u591a\u6e90\u534f\u540c\u6d4b\u4e91\u5173\u952e\u6280\u672f\u7814\u7a76","funder_award_id":"61531019","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7065440472","display_name":null,"funder_award_id":"61601462","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G997903294","display_name":null,"funder_award_id":"71621002","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":27,"referenced_works":["https://openalex.org/W199227546","https://openalex.org/W273955616","https://openalex.org/W1625255723","https://openalex.org/W1907897951","https://openalex.org/W2008541429","https://openalex.org/W2014096274","https://openalex.org/W2017553841","https://openalex.org/W2040233346","https://openalex.org/W2062583931","https://openalex.org/W2072275618","https://openalex.org/W2072642518","https://openalex.org/W2077095720","https://openalex.org/W2098554604","https://openalex.org/W2113137767","https://openalex.org/W2118246710","https://openalex.org/W2119531715","https://openalex.org/W2133059825","https://openalex.org/W2142530961","https://openalex.org/W2151103935","https://openalex.org/W2169551590","https://openalex.org/W2468032295","https://openalex.org/W2911964244","https://openalex.org/W4253145541","https://openalex.org/W6610017368","https://openalex.org/W6636494156","https://openalex.org/W6639750263","https://openalex.org/W6719938288"],"related_works":["https://openalex.org/W2888918612","https://openalex.org/W2166285859","https://openalex.org/W3148597776","https://openalex.org/W1538206641","https://openalex.org/W2025370853","https://openalex.org/W3211656382","https://openalex.org/W2060412688","https://openalex.org/W1972183506","https://openalex.org/W4235940179","https://openalex.org/W3142104043"],"abstract_inverted_index":{"Cloud":[0],"detection":[1,64],"plays":[2],"an":[3],"important":[4],"role":[5],"in":[6,55],"climate":[7,9],"models,":[8],"predictions,":[10],"and":[11,99,130,157,197],"meteorological":[12],"services.":[13],"Although":[14],"researchers":[15],"have":[16],"given":[17],"increasing":[18],"efforts":[19],"on":[20,119],"cloud":[21,51,63,204],"detection,":[22],"the":[23,30,36,82,87,96,120,143,153,171,175,183,195,200],"performance":[24],"is":[25,46,139,177],"still":[26],"unsatisfactory":[27],"due":[28],"to":[29,49,73,85,95,108,142],"diverse":[31],"nature":[32],"of":[33,41,77,92,111,146,199],"clouds.":[34],"Considering":[35],"fact":[37],"that":[38],"one":[39],"source":[40],"information":[42],"(color":[43],"or":[44],"texture)":[45],"not":[47],"enough":[48],"segment":[50],"from":[52],"clear":[53],"sky,":[54],"this":[56],"letter,":[57],"we":[58,80,115,181],"propose":[59],"a":[60,90,117,128],"novel":[61],"ground-based":[62],"method":[65,202],"using":[66],"graph":[67],"model":[68],"(GM)":[69],"built":[70],"upon":[71],"superpixels":[72,104,122,184],"integrate":[74],"multiple":[75],"sources":[76],"information.":[78],"First,":[79],"use":[81,182],"superpixel":[83,126],"segmentation":[84,165],"divide":[86],"image":[88],"into":[89],"series":[91],"subregions":[93],"according":[94,107,141],"color":[97,156],"similarity":[98,110],"spatial":[100],"continuity.":[101],"Next,":[102],"adjacent":[103],"are":[105],"merged":[106,121],"their":[109],"extracted":[112],"features.":[113],"Finally,":[114],"build":[116],"GM":[118],"by":[123,169],"considering":[124],"each":[125],"as":[127,180,189],"node":[129],"adding":[131],"edges":[132],"between":[133,160],"neighboring":[134,161],"ones.":[135],"The":[136,163],"unary":[137],"cost":[138,151,172],"set":[140],"classification":[144],"score":[145],"Random":[147],"Forests,":[148],"while":[149],"pairwise":[150],"reflects":[152],"penalties":[154],"for":[155,203],"texture":[158],"discontinuity":[159],"components.":[162],"final":[164],"could":[166],"be":[167],"acquired":[168],"minimizing":[170],"function.":[173],"Moreover,":[174],"algorithm":[176],"computationally":[178],"efficient":[179],"rather":[185],"than":[186],"raw":[187],"pixels":[188],"computation":[190],"units.":[191],"Experimental":[192],"results":[193],"demonstrate":[194],"effectiveness":[196],"efficiency":[198],"proposed":[201],"detection.":[205]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":13},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}