{"id":"https://openalex.org/W2901453036","doi":"https://doi.org/10.1109/igarss.2018.8517580","title":"Cloud Shadow Removal Based on Cloud Transmittance Estimation","display_name":"Cloud Shadow Removal Based on Cloud Transmittance Estimation","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2901453036","doi":"https://doi.org/10.1109/igarss.2018.8517580","mag":"2901453036"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2018.8517580","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2018.8517580","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},"type":"conference-paper","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/A5074854022","display_name":"Madhuri Nagare","orcid":"https://orcid.org/0000-0002-0223-9299"},"institutions":[{"id":"https://openalex.org/I118347220","display_name":"NEC (Japan)","ror":"https://ror.org/04jndar25","country_code":"JP","type":"company","lineage":["https://openalex.org/I118347220"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Madhuri Nagare","raw_affiliation_strings":["NEC Corporation, Data Science Research Laboratories"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NEC Corporation, Data Science Research Laboratories","institution_ids":["https://openalex.org/I118347220"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080963318","display_name":"Eiji Kaneko","orcid":"https://orcid.org/0000-0003-1840-5551"},"institutions":[{"id":"https://openalex.org/I118347220","display_name":"NEC (Japan)","ror":"https://ror.org/04jndar25","country_code":"JP","type":"company","lineage":["https://openalex.org/I118347220"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Eiji Kaneko","raw_affiliation_strings":["NEC Corporation, Data Science Research Laboratories"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NEC Corporation, Data Science Research Laboratories","institution_ids":["https://openalex.org/I118347220"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066517717","display_name":"Masato Toda","orcid":null},"institutions":[{"id":"https://openalex.org/I118347220","display_name":"NEC (Japan)","ror":"https://ror.org/04jndar25","country_code":"JP","type":"company","lineage":["https://openalex.org/I118347220"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masato Toda","raw_affiliation_strings":["NEC Corporation, Data Science Research Laboratories"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NEC Corporation, Data Science Research Laboratories","institution_ids":["https://openalex.org/I118347220"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001400226","display_name":"Hirofumi Aoki","orcid":"https://orcid.org/0000-0002-4930-0181"},"institutions":[{"id":"https://openalex.org/I118347220","display_name":"NEC (Japan)","ror":"https://ror.org/04jndar25","country_code":"JP","type":"company","lineage":["https://openalex.org/I118347220"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hirofumi Aoki","raw_affiliation_strings":["NEC Corporation, Data Science Research Laboratories"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NEC Corporation, Data Science Research Laboratories","institution_ids":["https://openalex.org/I118347220"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113944804","display_name":"Masato Tsukada","orcid":null},"institutions":[{"id":"https://openalex.org/I118347220","display_name":"NEC (Japan)","ror":"https://ror.org/04jndar25","country_code":"JP","type":"company","lineage":["https://openalex.org/I118347220"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masato Tsukada","raw_affiliation_strings":["NEC Corporation, Data Science Research Laboratories"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NEC Corporation, Data Science Research Laboratories","institution_ids":["https://openalex.org/I118347220"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I118347220"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.22355899,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"4031","last_page":"4034"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10347","display_name":"Atmospheric aerosols and clouds","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10347","display_name":"Atmospheric aerosols and clouds","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"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/T10766","display_name":"Urban Heat Island Mitigation","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"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/T11019","display_name":"Image Enhancement Techniques","score":0.996999979019165,"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/shadow","display_name":"Shadow (psychology)","score":0.7808730602264404},{"id":"https://openalex.org/keywords/irradiance","display_name":"Irradiance","score":0.7103954553604126},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6553978323936462},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.6482177972793579},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.6371690034866333},{"id":"https://openalex.org/keywords/transmittance","display_name":"Transmittance","score":0.6258366107940674},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.5886083245277405},{"id":"https://openalex.org/keywords/attenuation","display_name":"Attenuation","score":0.5649242401123047},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5390007495880127},{"id":"https://openalex.org/keywords/correlation-coefficient","display_name":"Correlation coefficient","score":0.4119587242603302},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.35666415095329285},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3262510895729065},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.2747926414012909},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.24618807435035706},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.19524487853050232}],"concepts":[{"id":"https://openalex.org/C117797892","wikidata":"https://www.wikidata.org/wiki/Q286363","display_name":"Shadow (psychology)","level":2,"score":0.7808730602264404},{"id":"https://openalex.org/C46423501","wikidata":"https://www.wikidata.org/wiki/Q830654","display_name":"Irradiance","level":2,"score":0.7103954553604126},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6553978323936462},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6482177972793579},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.6371690034866333},{"id":"https://openalex.org/C150493377","wikidata":"https://www.wikidata.org/wiki/Q1427863","display_name":"Transmittance","level":2,"score":0.6258366107940674},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.5886083245277405},{"id":"https://openalex.org/C184652730","wikidata":"https://www.wikidata.org/wiki/Q2357982","display_name":"Attenuation","level":2,"score":0.5649242401123047},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5390007495880127},{"id":"https://openalex.org/C2780092901","wikidata":"https://www.wikidata.org/wiki/Q3433612","display_name":"Correlation coefficient","level":2,"score":0.4119587242603302},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.35666415095329285},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3262510895729065},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.2747926414012909},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.24618807435035706},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.19524487853050232},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2018.8517580","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2018.8517580","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1602984430","https://openalex.org/W1967386275","https://openalex.org/W1981435276","https://openalex.org/W2005073772","https://openalex.org/W2010205838","https://openalex.org/W2024423687","https://openalex.org/W2028240797","https://openalex.org/W2066015174","https://openalex.org/W2068124105","https://openalex.org/W2775586297","https://openalex.org/W6652901725"],"related_works":["https://openalex.org/W4318664220","https://openalex.org/W2771047279","https://openalex.org/W2147777774","https://openalex.org/W4388409104","https://openalex.org/W1544811710","https://openalex.org/W2124951708","https://openalex.org/W2072442315","https://openalex.org/W172072032","https://openalex.org/W2006066416","https://openalex.org/W3157073418"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,117,142],"method":[4,102,129],"of":[5,17,40,66,90,112],"cloud":[6,67],"shadow":[7,68],"removal":[8],"for":[9,52],"multispectral":[10],"images":[11],"to":[12,47,72,79,124,132],"retrieve":[13,36],"the":[14,37,41,53,59,63,75,80,83,88,100,104,113,127,133,137],"ground":[15,38],"reflectance":[16,39],"areas":[18],"shadowed":[19,42],"by":[20,33,126,147],"clouds.":[21,34],"Cloud":[22],"shadows":[23],"are":[24,85],"cast":[25],"when":[26],"incident":[27],"direct":[28],"solar":[29,54],"irradiance":[30],"gets":[31],"attenuated":[32],"To":[35],"pixels,":[43],"it":[44],"is":[45,120,145],"required":[46],"estimate":[48,74],"pixel-wise":[49],"attenuation":[50,76],"factor":[51],"irradiance.":[55],"Unlike":[56],"conventional":[57,134],"methods,":[58],"proposed":[60,101,128],"technique":[61],"takes":[62],"physical":[64,81],"model":[65],"formation":[69],"into":[70],"account":[71],"accurately":[73],"factors.":[77],"According":[78],"model,":[82],"factors":[84],"derived":[86],"from":[87,122],"transmittance":[89],"an":[91],"occluding":[92],"cloud.":[93],"Visual":[94],"and":[95],"quantitative":[96],"results":[97],"demonstrate":[98],"that":[99],"outperforms":[103],"well-known":[105],"de-shadowing":[106],"algorithm.":[107],"The":[108],"average":[109,138],"correlation":[110],"coefficient":[111],"corrected":[114],"image":[115,119,144],"with":[116,141],"reference":[118,143],"improved":[121,146],"0.45":[123],"0.75":[125],"as":[130],"compared":[131],"method.":[135],"Further,":[136],"spectral":[139],"angle":[140],"10%.":[148]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
