{"id":"https://openalex.org/W4403042548","doi":"https://doi.org/10.3390/rs16193665","title":"Multi-Temporal Pixel-Based Compositing for Cloud Removal Based on Cloud Masks Developed Using Classification Techniques","display_name":"Multi-Temporal Pixel-Based Compositing for Cloud Removal Based on Cloud Masks Developed Using Classification Techniques","publication_year":2024,"publication_date":"2024-10-01","ids":{"openalex":"https://openalex.org/W4403042548","doi":"https://doi.org/10.3390/rs16193665"},"language":"en","primary_location":{"id":"doi:10.3390/rs16193665","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16193665","pdf_url":"https://www.mdpi.com/2072-4292/16/19/3665/pdf?version=1728034943","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/16/19/3665/pdf?version=1728034943","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5005714773","display_name":"Tesfaye Adugna","orcid":"https://orcid.org/0000-0003-3235-587X"},"institutions":[{"id":"https://openalex.org/I3018263800","display_name":"Huzhou University","ror":"https://ror.org/04mvpxy20","country_code":"CN","type":"education","lineage":["https://openalex.org/I3018263800"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tesfaye Adugna","raw_affiliation_strings":["Yangtze Delta Region Institute (Huzhou), University of Electronic Science and Technology of China, Huzhou 313001, China"],"affiliations":[{"raw_affiliation_string":"Yangtze Delta Region Institute (Huzhou), University of Electronic Science and Technology of China, Huzhou 313001, China","institution_ids":["https://openalex.org/I3018263800"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100720681","display_name":"Wenbo Xu","orcid":"https://orcid.org/0000-0001-8704-1937"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]},{"id":"https://openalex.org/I3018263800","display_name":"Huzhou University","ror":"https://ror.org/04mvpxy20","country_code":"CN","type":"education","lineage":["https://openalex.org/I3018263800"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wenbo Xu","raw_affiliation_strings":["School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu 611731, China","Yangtze Delta Region Institute (Huzhou), University of Electronic Science and Technology of China, Huzhou 313001, China"],"affiliations":[{"raw_affiliation_string":"School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu 611731, China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"Yangtze Delta Region Institute (Huzhou), University of Electronic Science and Technology of China, Huzhou 313001, China","institution_ids":["https://openalex.org/I3018263800"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055483745","display_name":"Jinlong Fan","orcid":"https://orcid.org/0000-0001-8227-6630"},"institutions":[{"id":"https://openalex.org/I141301092","display_name":"China Meteorological Administration","ror":"https://ror.org/00bx3rb98","country_code":"CN","type":"government","lineage":["https://openalex.org/I141301092"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinlong Fan","raw_affiliation_strings":["China Meteorological Administration, National Satellite Meteorological Center, Beijing 100081, China"],"affiliations":[{"raw_affiliation_string":"China Meteorological Administration, National Satellite Meteorological Center, Beijing 100081, China","institution_ids":["https://openalex.org/I141301092"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027847924","display_name":"Xin Luo","orcid":"https://orcid.org/0000-0002-9534-592X"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]},{"id":"https://openalex.org/I3018263800","display_name":"Huzhou University","ror":"https://ror.org/04mvpxy20","country_code":"CN","type":"education","lineage":["https://openalex.org/I3018263800"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Luo","raw_affiliation_strings":["School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu 611731, China","Yangtze Delta Region Institute (Huzhou), University of Electronic Science and Technology of China, Huzhou 313001, China"],"affiliations":[{"raw_affiliation_string":"School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu 611731, China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"Yangtze Delta Region Institute (Huzhou), University of Electronic Science and Technology of China, Huzhou 313001, China","institution_ids":["https://openalex.org/I3018263800"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101848096","display_name":"Haitao Jia","orcid":"https://orcid.org/0000-0002-7991-9567"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]},{"id":"https://openalex.org/I3018263800","display_name":"Huzhou University","ror":"https://ror.org/04mvpxy20","country_code":"CN","type":"education","lineage":["https://openalex.org/I3018263800"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haitao Jia","raw_affiliation_strings":["School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu 611731, China","Yangtze Delta Region Institute (Huzhou), University of Electronic Science and Technology of China, Huzhou 313001, China"],"affiliations":[{"raw_affiliation_string":"School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu 611731, China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"Yangtze Delta Region Institute (Huzhou), University of Electronic Science and Technology of China, Huzhou 313001, China","institution_ids":["https://openalex.org/I3018263800"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100720681"],"corresponding_institution_ids":["https://openalex.org/I150229711","https://openalex.org/I3018263800"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":1.3774,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.82097052,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"16","issue":"19","first_page":"3665","last_page":"3665"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9921000003814697,"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"}},"topics":[{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9921000003814697,"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/T10347","display_name":"Atmospheric aerosols and clouds","score":0.9785000085830688,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9782999753952026,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/compositing","display_name":"Compositing","score":0.9214111566543579},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.7258319854736328},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5399520397186279},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.49249014258384705},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.3890957832336426},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23330387473106384},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.16142401099205017},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.07891061902046204}],"concepts":[{"id":"https://openalex.org/C129315195","wikidata":"https://www.wikidata.org/wiki/Q1121886","display_name":"Compositing","level":3,"score":0.9214111566543579},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.7258319854736328},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5399520397186279},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49249014258384705},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.3890957832336426},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23330387473106384},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.16142401099205017},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.07891061902046204},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/rs16193665","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16193665","pdf_url":"https://www.mdpi.com/2072-4292/16/19/3665/pdf?version=1728034943","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:76f9fee3903649b3b346106598ef5014","is_oa":true,"landing_page_url":"https://doaj.org/article/76f9fee3903649b3b346106598ef5014","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 16, Iss 19, p 3665 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/rs16193665","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16193665","pdf_url":"https://www.mdpi.com/2072-4292/16/19/3665/pdf?version=1728034943","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4403042548.pdf"},"referenced_works_count":74,"referenced_works":["https://openalex.org/W28693142","https://openalex.org/W1752636689","https://openalex.org/W1901129140","https://openalex.org/W1963768209","https://openalex.org/W1966446776","https://openalex.org/W1968563567","https://openalex.org/W1974047452","https://openalex.org/W1999281047","https://openalex.org/W2013689051","https://openalex.org/W2022078304","https://openalex.org/W2028240797","https://openalex.org/W2029058476","https://openalex.org/W2029411311","https://openalex.org/W2040859008","https://openalex.org/W2063907334","https://openalex.org/W2065800647","https://openalex.org/W2068124105","https://openalex.org/W2078619499","https://openalex.org/W2098059510","https://openalex.org/W2101234009","https://openalex.org/W2106584184","https://openalex.org/W2120146794","https://openalex.org/W2121025662","https://openalex.org/W2121432563","https://openalex.org/W2121690928","https://openalex.org/W2124706543","https://openalex.org/W2132424470","https://openalex.org/W2144645128","https://openalex.org/W2145569126","https://openalex.org/W2163771233","https://openalex.org/W2165514703","https://openalex.org/W2168809519","https://openalex.org/W2169500530","https://openalex.org/W2261059368","https://openalex.org/W2292891435","https://openalex.org/W2322402557","https://openalex.org/W2327187779","https://openalex.org/W2572348253","https://openalex.org/W2776146695","https://openalex.org/W2885850997","https://openalex.org/W2899315938","https://openalex.org/W2900217217","https://openalex.org/W2900639982","https://openalex.org/W2908943833","https://openalex.org/W2911964244","https://openalex.org/W2912747420","https://openalex.org/W2943484762","https://openalex.org/W2966541484","https://openalex.org/W2990265654","https://openalex.org/W3010606970","https://openalex.org/W3092599592","https://openalex.org/W3124539583","https://openalex.org/W3132455321","https://openalex.org/W3156576334","https://openalex.org/W3156957821","https://openalex.org/W3175987719","https://openalex.org/W3198940810","https://openalex.org/W3214420576","https://openalex.org/W4210699701","https://openalex.org/W4232914504","https://openalex.org/W4285394585","https://openalex.org/W4288420805","https://openalex.org/W4313252468","https://openalex.org/W4315644148","https://openalex.org/W4320491860","https://openalex.org/W4321788304","https://openalex.org/W4387229391","https://openalex.org/W4387259421","https://openalex.org/W4391235300","https://openalex.org/W4400584697","https://openalex.org/W6675354045","https://openalex.org/W6772750526","https://openalex.org/W6850092284","https://openalex.org/W6860970261"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2605318953","https://openalex.org/W2098628853","https://openalex.org/W4242350840","https://openalex.org/W2363688420","https://openalex.org/W2488155886","https://openalex.org/W2052474806","https://openalex.org/W2294464347","https://openalex.org/W2164409281"],"abstract_inverted_index":{"Cloud":[0],"is":[1,276],"a":[2,52,69,209],"serious":[3],"problem":[4],"that":[5,273,289],"affects":[6],"the":[7,48,107,121,125,143,149,159,184,194,202,215,227,233,242,248,305,317],"quality":[8,185,228],"of":[9,133,166,186,229,235,250,316,324],"remote-sensing":[10],"(RS)":[11],"images.":[12],"Existing":[13],"cloud":[14,29,58,74,178,253],"removal":[15],"techniques":[16,307],"suffer":[17],"from":[18,91],"notable":[19],"limitations,":[20],"such":[21],"as":[22,34,36],"being":[23],"specific":[24],"to":[25,105,118,130,136,153,162,174,260],"certain":[26],"data":[27,320],"types,":[28],"conditions,":[30],"and":[31,44,76,79,87,98,102,112,116,139,171,176,224,232,264,267,282,299,322],"spatial":[32,318],"extents,":[33],"well":[35],"requiring":[37,301],"auxiliary":[38],"data,":[39],"which":[40,245],"hampers":[41],"their":[42],"generalizability":[43],"flexibility.":[45],"To":[46],"address":[47],"issue,":[49],"we":[50,96,157,182],"propose":[51],"maximum-value":[53,160],"compositing":[54],"approach":[55,275],"by":[56,147,190],"generating":[57],"masks.":[59],"We":[60],"acquired":[61],"432":[62],"daily":[63,93,122,145],"MOD09GA":[64],"L2":[65],"MODIS":[66,217],"imageries":[67,127],"covering":[68],"vast":[70],"region":[71],"with":[72,193,296],"persistent":[73,297],"cover":[75],"various":[77],"climates":[78],"land-cover":[80,203],"types.":[81],"Labeled":[82],"datasets":[83],"for":[84,252,292,311],"cloud,":[85],"land,":[86],"no-data":[88,140],"were":[89,114,128],"collected":[90],"selected":[92],"imageries.":[94,123],"Subsequently,":[95],"trained":[97],"evaluated":[99],"RF,":[100],"SVM,":[101,223],"U-Net":[103,113],"models":[104],"choose":[106],"best":[108,243],"models.":[109],"Accordingly,":[110],"SVM":[111,175,251],"chosen":[115],"employed":[117,158],"classify":[119],"all":[120],"Then,":[124],"classified":[126],"converted":[129],"two":[131,164],"sets":[132,165],"mask":[134,137],"layers":[135],"clouds":[138,298],"pixels":[141],"in":[142,279],"corresponding":[144,173],"images":[146],"setting":[148],"masked":[150],"pixels\u2019":[151],"values":[152],"\u22120.999999.":[154],"After":[155],"masking,":[156],"technique":[161],"generate":[163],"16-day":[167,197],"composite":[168,188,198],"products,":[169],"MaxComp-1":[170,240],"MaxComp-2,":[172],"U-Net-derived":[177],"masks,":[179],"respectively.":[180],"Finally,":[181],"assessed":[183],"our":[187,206,230,236,257,274],"products":[189,207,231,258,288],"comparing":[191],"them":[192],"reference":[195,216],"MOD13A1":[196],"product.":[199],"Based":[200],"on":[201],"classification":[204],"accuracy,":[205],"yielded":[208,241],"significantly":[210],"higher":[211],"accuracy":[212],"(5\u201328%)":[213],"than":[214,270],"product":[218],"across":[219],"three":[220],"classifiers":[221],"(RF,":[222],"U-Net),":[225],"indicating":[226],"effectiveness":[234],"techniques.":[237],"In":[238,255],"particular,":[239],"results,":[244],"further":[246],"implies":[247],"superiority":[249],"masking.":[254],"addition,":[256],"appear":[259],"be":[261,309],"more":[262,277],"radiometrically":[263],"spectrally":[265],"consistent":[266],"less":[268],"noisy":[269],"MOD13A1,":[271],"implying":[272],"efficient":[278],"removing":[280],"shadows":[281],"noises/artifacts.":[283],"Our":[284],"method":[285],"yields":[286],"high-quality":[287],"are":[290],"vital":[291],"investigating":[293],"large":[294],"regions":[295],"studies":[300],"time-series":[302],"data.":[303],"Moreover,":[304],"proposed":[306],"can":[308],"adopted":[310],"higher-resolution":[312],"RS":[313],"imageries,":[314],"regardless":[315],"extent,":[319],"volume,":[321],"type":[323],"clouds.":[325]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
