{"id":"https://openalex.org/W2890699116","doi":"https://doi.org/10.1109/lgrs.2018.2866499","title":"A Coarse-to-Fine Method for Cloud Detection in Remote Sensing Images","display_name":"A Coarse-to-Fine Method for Cloud Detection in Remote Sensing Images","publication_year":2018,"publication_date":"2018-09-17","ids":{"openalex":"https://openalex.org/W2890699116","doi":"https://doi.org/10.1109/lgrs.2018.2866499","mag":"2890699116"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2018.2866499","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2018.2866499","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/A5057514965","display_name":"Xudong Kang","orcid":"https://orcid.org/0000-0002-3807-2531"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xudong Kang","raw_affiliation_strings":["Key Laboratory of Visual Perception and Artificial Intelligence of Hunan Province, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-3807-2531","affiliations":[{"raw_affiliation_string":"Key Laboratory of Visual Perception and Artificial Intelligence of Hunan Province, Changsha, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012299081","display_name":"Guanghao Gao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guanghao Gao","raw_affiliation_strings":["Key Laboratory of Visual Perception and Artificial Intelligence of Hunan Province, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Visual Perception and Artificial Intelligence of Hunan Province, Changsha, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024679777","display_name":"Qiaobo Hao","orcid":"https://orcid.org/0000-0002-0177-7263"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qiaobo Hao","raw_affiliation_strings":["Key Laboratory of Visual Perception and Artificial Intelligence of Hunan Province, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-0177-7263","affiliations":[{"raw_affiliation_string":"Key Laboratory of Visual Perception and Artificial Intelligence of Hunan Province, Changsha, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067097659","display_name":"Shutao Li","orcid":"https://orcid.org/0000-0002-0585-9848"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shutao Li","raw_affiliation_strings":["Key Laboratory of Visual Perception and Artificial Intelligence of Hunan Province, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-0585-9848","affiliations":[{"raw_affiliation_string":"Key Laboratory of Visual Perception and Artificial Intelligence of Hunan Province, Changsha, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.6427,"has_fulltext":false,"cited_by_count":33,"citation_normalized_percentile":{"value":0.8601154,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"16","issue":"1","first_page":"110","last_page":"114"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9988999962806702,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer 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":0.760359525680542},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7136906385421753},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.7095049023628235},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6313170790672302},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5544506907463074},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.5173237323760986},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49554502964019775},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.4884988069534302},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.47061851620674133},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4183425307273865},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.41304081678390503},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3326382637023926}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.760359525680542},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7136906385421753},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.7095049023628235},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6313170790672302},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5544506907463074},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.5173237323760986},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49554502964019775},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.4884988069534302},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.47061851620674133},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4183425307273865},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.41304081678390503},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3326382637023926},{"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/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2018.2866499","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2018.2866499","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":[],"awards":[{"id":"https://openalex.org/G8694044906","display_name":null,"funder_award_id":"61601179","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G898426514","display_name":null,"funder_award_id":"61520106001","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":21,"referenced_works":["https://openalex.org/W625827677","https://openalex.org/W1608371111","https://openalex.org/W1990592195","https://openalex.org/W2017209939","https://openalex.org/W2084516844","https://openalex.org/W2141957843","https://openalex.org/W2153635508","https://openalex.org/W2160956336","https://openalex.org/W2161160262","https://openalex.org/W2165734775","https://openalex.org/W2338459354","https://openalex.org/W2512351403","https://openalex.org/W2605495192","https://openalex.org/W2740976805","https://openalex.org/W2754507318","https://openalex.org/W2761917471","https://openalex.org/W2768309288","https://openalex.org/W2799870441","https://openalex.org/W2885776085","https://openalex.org/W6647720530","https://openalex.org/W6678827375"],"related_works":["https://openalex.org/W2953058328","https://openalex.org/W1542224353","https://openalex.org/W1661087619","https://openalex.org/W2750730210","https://openalex.org/W2116854923","https://openalex.org/W2236974868","https://openalex.org/W4312766348","https://openalex.org/W2730764323","https://openalex.org/W4233939244","https://openalex.org/W1976727107"],"abstract_inverted_index":{"In":[0],"this":[1],"letter,":[2],"a":[3,71],"coarse-to-fine":[4],"unsupervised":[5],"method":[6,125],"is":[7,68,95],"proposed":[8,124,135],"for":[9],"cloud":[10,47,110,136],"detection":[11,48,104,111,128,137],"in":[12,64,101,139],"remote":[13,25,118],"sensing":[14,26,119],"images.":[15],"First,":[16],"the":[17,24,31,55,61,66,79,83,99,102,109,123],"color,":[18],"texture,":[19],"and":[20,39,89,144],"statistical":[21,41],"features":[22],"of":[23,73,82,141],"images":[27,120],"are":[28],"extracted":[29],"with":[30,70,86,130],"color":[32],"transform,":[33],"dark":[34,80],"channel":[35,81],"estimation,":[36],"Gabor":[37],"filtering,":[38],"local":[40],"analysis":[42],"methods.":[43],"Then,":[44],"an":[45],"initial":[46,103],"map":[49],"can":[50],"be":[51],"obtained":[52],"by":[53,77],"performing":[54],"support":[56],"vector":[57],"machines":[58],"(SVM)":[59],"on":[60,115],"stacked":[62],"features,":[63],"which":[65,106],"SVM":[67],"trained":[69],"set":[72],"samples":[74],"automatically":[75],"labeled":[76],"processing":[78],"original":[84],"image":[85],"several":[87,116,133],"thresholding":[88],"morphological":[90],"operations.":[91],"Finally,":[92],"guided":[93],"filtering":[94],"used":[96],"to":[97,132],"refine":[98],"boundaries":[100],"map,":[105],"further":[107],"improves":[108],"accuracy.":[112],"Experiments":[113],"performed":[114],"real":[117],"demonstrate":[121],"that":[122],"show":[126],"better":[127],"performances":[129],"respect":[131],"recently":[134],"methods":[138],"terms":[140],"both":[142],"quantitative":[143],"visual":[145],"comparisons.":[146]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":4}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}