{"id":"https://openalex.org/W4312287672","doi":"https://doi.org/10.1109/igarss46834.2022.9884514","title":"Accurate Cloud Detection using Feature Refining Attention Network and S-NPP Cris Fsr Data","display_name":"Accurate Cloud Detection using Feature Refining Attention Network and S-NPP Cris Fsr Data","publication_year":2022,"publication_date":"2022-07-17","ids":{"openalex":"https://openalex.org/W4312287672","doi":"https://doi.org/10.1109/igarss46834.2022.9884514"},"language":"en","primary_location":{"id":"doi:10.1109/igarss46834.2022.9884514","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss46834.2022.9884514","pdf_url":null,"source":{"id":"https://openalex.org/S4363604196","display_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-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/A5091487601","display_name":"Mengfan Zhang","orcid":"https://orcid.org/0000-0003-0746-0221"},"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"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Mengfan Zhang","raw_affiliation_strings":["School of Information and Communication Engineering, University of Electronic Science and Technology of China,Chengdu,China","School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China,Chengdu,China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013068815","display_name":"Miao Tian","orcid":"https://orcid.org/0000-0002-1155-3220"},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Miao Tian","raw_affiliation_strings":["School of Information and Communication Engineering, University of Electronic Science and Technology of China,Chengdu,China","School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China,Chengdu,China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038495612","display_name":"Zhengkun Qin","orcid":"https://orcid.org/0000-0003-1172-8040"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhengkun Qin","raw_affiliation_strings":["School of Atmospheric Sciences, Nanjing University of Information Science and Technology,Nanjing,China","School of Atmospheric Sciences, Nanjing University of Information Science and Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Atmospheric Sciences, Nanjing University of Information Science and Technology,Nanjing,China","institution_ids":["https://openalex.org/I200845125"]},{"raw_affiliation_string":"School of Atmospheric Sciences, Nanjing University of Information Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I200845125"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5091487601"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.31034483,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"122","issue":null,"first_page":"6722","last_page":"6725"},"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":0.9975000023841858,"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/T11276","display_name":"Solar Radiation and Photovoltaics","score":0.9947999715805054,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/mean-squared-error","display_name":"Mean squared error","score":0.7094334959983826},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.6541852951049805},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.6203916668891907},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5761808156967163},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.569831132888794},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5388059616088867},{"id":"https://openalex.org/keywords/standard-deviation","display_name":"Standard deviation","score":0.49825024604797363},{"id":"https://openalex.org/keywords/root-mean-square","display_name":"Root mean square","score":0.4742557108402252},{"id":"https://openalex.org/keywords/brightness-temperature","display_name":"Brightness temperature","score":0.4490910768508911},{"id":"https://openalex.org/keywords/brightness","display_name":"Brightness","score":0.4437673091888428},{"id":"https://openalex.org/keywords/pairing","display_name":"Pairing","score":0.42676225304603577},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3431764245033264},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3309505879878998},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32356399297714233},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1956653594970703},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.18909820914268494},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.18534493446350098},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18311583995819092},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.1487102508544922},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.1350833773612976}],"concepts":[{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.7094334959983826},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.6541852951049805},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6203916668891907},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5761808156967163},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.569831132888794},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5388059616088867},{"id":"https://openalex.org/C22679943","wikidata":"https://www.wikidata.org/wiki/Q159375","display_name":"Standard deviation","level":2,"score":0.49825024604797363},{"id":"https://openalex.org/C71907059","wikidata":"https://www.wikidata.org/wiki/Q223323","display_name":"Root mean square","level":2,"score":0.4742557108402252},{"id":"https://openalex.org/C53802167","wikidata":"https://www.wikidata.org/wiki/Q4538627","display_name":"Brightness temperature","level":3,"score":0.4490910768508911},{"id":"https://openalex.org/C125245961","wikidata":"https://www.wikidata.org/wiki/Q221656","display_name":"Brightness","level":2,"score":0.4437673091888428},{"id":"https://openalex.org/C14103023","wikidata":"https://www.wikidata.org/wiki/Q11681459","display_name":"Pairing","level":3,"score":0.42676225304603577},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3431764245033264},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3309505879878998},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32356399297714233},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1956653594970703},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.18909820914268494},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.18534493446350098},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18311583995819092},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.1487102508544922},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.1350833773612976},{"id":"https://openalex.org/C54101563","wikidata":"https://www.wikidata.org/wiki/Q124131","display_name":"Superconductivity","level":2,"score":0.0},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss46834.2022.9884514","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss46834.2022.9884514","pdf_url":null,"source":{"id":"https://openalex.org/S4363604196","display_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2004438916","https://openalex.org/W2144951835","https://openalex.org/W2284258072","https://openalex.org/W2584715599","https://openalex.org/W2792906368","https://openalex.org/W2905547681","https://openalex.org/W2931508776","https://openalex.org/W2942454403","https://openalex.org/W2950314938","https://openalex.org/W2995280114","https://openalex.org/W2995649053","https://openalex.org/W3087864434","https://openalex.org/W3132171563"],"related_works":["https://openalex.org/W3015473028","https://openalex.org/W3201176751","https://openalex.org/W1993094293","https://openalex.org/W2029180842","https://openalex.org/W2024971119","https://openalex.org/W1983414154","https://openalex.org/W2540909290","https://openalex.org/W2111586823","https://openalex.org/W2390005173","https://openalex.org/W2031661551"],"abstract_inverted_index":{"Cloud":[0],"detection":[1,17,32,205],"is":[2,151,165,174],"an":[3],"important":[4],"and":[5,41,107,137,170],"challenging":[6],"problem":[7],"in":[8],"atmospheric":[9],"remote":[10],"sensing.":[11],"This":[12],"study":[13,68],"improves":[14],"the":[15,20,37,53,57,70,77,81,89,96,100,105,117,125,140,146,156,178,182,208],"cloud":[16,31,194,204],"performance":[18],"of":[19,51,56,76,80,120],"previously":[21,209],"proposed":[22],"cross-track":[23],"infrared":[24,184],"sounder":[25],"(CrIS)":[26],"full":[27],"spectrum":[28],"resolution":[29],"(FSR)":[30],"index":[33],"(FCDI)":[34],"by":[35],"changing":[36],"channel":[38,86,142],"pairing":[39,65,106],"criteria":[40],"using":[42,52],"a":[43,171,191,201],"new":[44,141,193],"feature":[45],"refining":[46],"attention":[47,147],"network":[48],"(FRAnet).":[49],"Instead":[50],"standard":[54,92],"deviation":[55,93],"simulated":[58],"CrIS":[59,179],"channel's":[60,90,97],"brightness":[61],"temperatures":[62],"(BTs)":[63],"as":[64],"index,":[66],"this":[67,168],"adopts":[69],"root":[71],"mean":[72],"square":[73],"error":[74],"(RMSE)":[75],"fitting":[78,108],"results":[79,199],"candidate":[82],"pairs":[83,143],"to":[84,115,128,133,153,176,181,213],"select":[85],"pairs.":[87,162],"Since":[88],"BT":[91],"mainly":[94],"reflects":[95],"reliability":[98],"while":[99],"RMSE":[101,111],"can":[102],"directly":[103],"reflect":[104],"quality.":[109],"Different":[110],"thresholds":[112],"are":[113,196],"specified":[114],"represent":[116],"physical":[118],"characteristics":[119],"different":[121],"band":[122],"groups,":[123],"i.e.,":[124],"long":[126],"wave":[127,130,135],"short":[129],"(LW-SW),":[131],"LW":[132],"medium":[134],"(MW),":[136],"MW-SW.":[138],"After":[139],"being":[144],"selected,":[145],"mechanism":[148],"based":[149],"FRAnet":[150],"applied":[152,175],"optimal":[154],"utilize":[155],"FCDIs":[157],"obtained":[158],"from":[159,207],"over":[160],"200":[161],"40-day":[163],"data":[164,180],"used":[166],"for":[167],"study,":[169],"precise":[172],"algorithm":[173],"match":[177],"visible":[183],"imaging":[185],"radiometer":[186],"suite":[187],"(VIIRS)":[188],"data.":[189],"As":[190],"result,":[192],"labels":[195],"used.":[197],"Simulation":[198],"show":[200],"largely":[202],"improved":[203],"accuracy":[206],"achieved":[210],"~":[211],"80%":[212],"~87.8%.":[214]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
