{"id":"https://openalex.org/W4367032246","doi":"https://doi.org/10.1109/tgrs.2023.3270204","title":"Mine Diversified Contents of Multispectral Cloud Images Along With Geographical Information for Multilabel Classification","display_name":"Mine Diversified Contents of Multispectral Cloud Images Along With Geographical Information for Multilabel Classification","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4367032246","doi":"https://doi.org/10.1109/tgrs.2023.3270204"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2023.3270204","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3270204","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Transactions on Geoscience and Remote Sensing","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/A5023767577","display_name":"Dongxiaoyuan Zhao","orcid":"https://orcid.org/0000-0001-5279-7603"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Dongxiaoyuan Zhao","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-5279-7603","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100417402","display_name":"Qiong Wang","orcid":"https://orcid.org/0000-0003-4193-0960"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiong Wang","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100687480","display_name":"Jinglin Zhang","orcid":"https://orcid.org/0000-0003-1618-8493"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinglin Zhang","raw_affiliation_strings":["School of Control Science and Engineering, Shandong University, Jinan, China"],"raw_orcid":"https://orcid.org/0000-0003-1618-8493","affiliations":[{"raw_affiliation_string":"School of Control Science and Engineering, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013768600","display_name":"Cong Bai","orcid":"https://orcid.org/0000-0002-6177-3862"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cong Bai","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-6177-3862","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5023767577"],"corresponding_institution_ids":["https://openalex.org/I55712492"],"apc_list":null,"apc_paid":null,"fwci":2.8048,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.91524676,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"61","issue":null,"first_page":"1","last_page":"15"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9993000030517578,"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":0.9993000030517578,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9434999823570251,"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"}},{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9366000294685364,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.7827630043029785},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7623518705368042},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.6909520626068115},{"id":"https://openalex.org/keywords/extractor","display_name":"Extractor","score":0.5843650102615356},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5371974110603333},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5178504586219788},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4970298111438751},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.49607881903648376},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49335113167762756},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4517296552658081},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4194015562534332},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.40642133355140686},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.34476953744888306},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1180778443813324}],"concepts":[{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.7827630043029785},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7623518705368042},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.6909520626068115},{"id":"https://openalex.org/C117978034","wikidata":"https://www.wikidata.org/wiki/Q5422192","display_name":"Extractor","level":2,"score":0.5843650102615356},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5371974110603333},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5178504586219788},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4970298111438751},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.49607881903648376},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49335113167762756},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4517296552658081},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4194015562534332},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40642133355140686},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.34476953744888306},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1180778443813324},{"id":"https://openalex.org/C21880701","wikidata":"https://www.wikidata.org/wiki/Q2144042","display_name":"Process engineering","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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2023.3270204","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3270204","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.6000000238418579}],"awards":[{"id":"https://openalex.org/G2430310878","display_name":null,"funder_award_id":"62002326","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8847732984","display_name":null,"funder_award_id":"LR21F020002","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320338464","display_name":"Natural Science Foundation of Zhejiang Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":76,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1912954554","https://openalex.org/W1958291604","https://openalex.org/W1980038761","https://openalex.org/W2108598243","https://openalex.org/W2114315281","https://openalex.org/W2143747537","https://openalex.org/W2156303437","https://openalex.org/W2294802479","https://openalex.org/W2466055095","https://openalex.org/W2500751094","https://openalex.org/W2515866431","https://openalex.org/W2560096627","https://openalex.org/W2592962403","https://openalex.org/W2604675517","https://openalex.org/W2626107033","https://openalex.org/W2764276316","https://openalex.org/W2766938848","https://openalex.org/W2783165089","https://openalex.org/W2896457183","https://openalex.org/W2932399282","https://openalex.org/W2947443368","https://openalex.org/W2963745697","https://openalex.org/W2963875806","https://openalex.org/W2964015378","https://openalex.org/W2964194231","https://openalex.org/W2969235880","https://openalex.org/W2976850564","https://openalex.org/W2984813331","https://openalex.org/W2986549485","https://openalex.org/W2986943971","https://openalex.org/W2997136715","https://openalex.org/W3023506241","https://openalex.org/W3036616251","https://openalex.org/W3048631361","https://openalex.org/W3093484105","https://openalex.org/W3096609285","https://openalex.org/W3099518117","https://openalex.org/W3102692100","https://openalex.org/W3105577662","https://openalex.org/W3107591966","https://openalex.org/W3131872868","https://openalex.org/W3132088910","https://openalex.org/W3132306844","https://openalex.org/W3165730205","https://openalex.org/W3167456680","https://openalex.org/W3168371931","https://openalex.org/W3184087575","https://openalex.org/W3192931333","https://openalex.org/W3195759418","https://openalex.org/W3200436801","https://openalex.org/W3202884348","https://openalex.org/W3212474793","https://openalex.org/W3214821343","https://openalex.org/W4210904397","https://openalex.org/W4213333386","https://openalex.org/W4225871896","https://openalex.org/W4226228401","https://openalex.org/W4226253382","https://openalex.org/W4293192773","https://openalex.org/W4293499134","https://openalex.org/W4311852597","https://openalex.org/W4312815374","https://openalex.org/W4313022925","https://openalex.org/W4319878817","https://openalex.org/W4385245566","https://openalex.org/W6620707391","https://openalex.org/W6682864246","https://openalex.org/W6726873649","https://openalex.org/W6739901393","https://openalex.org/W6755207826","https://openalex.org/W6797691975","https://openalex.org/W6798617289","https://openalex.org/W6801649235","https://openalex.org/W6805230107","https://openalex.org/W6810653034"],"related_works":["https://openalex.org/W4318664220","https://openalex.org/W2771047279","https://openalex.org/W4388409104","https://openalex.org/W2124951708","https://openalex.org/W2945706271","https://openalex.org/W2114169842","https://openalex.org/W2535808783","https://openalex.org/W2005234362","https://openalex.org/W1997235926","https://openalex.org/W2565656575"],"abstract_inverted_index":{"Multispectral":[0],"multilabel":[1,71],"cloud":[2,18,26,69],"image":[3,43,70,106],"classification":[4,134],"(MSMLCIC)":[5],"aims":[6],"to":[7,94,123,131,174],"predict":[8],"a":[9,15,81,100,139],"set":[10],"of":[11,34,41,49,87,102,135,187],"labels":[12,117],"presented":[13],"in":[14],"multispectral":[16,68],"(MS)":[17],"image,":[19],"which":[20],"usually":[21],"contains":[22],"more":[23],"than":[24],"one":[25],"type":[27],"or":[28],"weather":[29],"system.":[30],"However,":[31],"the":[32,47,61,67,95,125,132,136,158,164,183],"exploration":[33],"diversified":[35],"contents":[36],"reflected":[37],"by":[38],"multiple":[39],"bands":[40,86],"MS":[42,88],"is":[44,56,144,170],"limited":[45],"and":[46,53,77,99,120,150,162,176],"consideration":[48],"geographical":[50],"information":[51,122],"(time":[52],"location":[54,121],"information)":[55],"insufficient.":[57],"To":[58],"cope":[59],"with":[60,73,118,146],"abovementioned":[62],"problems,":[63],"this":[64],"work":[65],"proposes":[66],"classifier":[72],"group":[74,82,101,159],"feature":[75,83,160],"extractor":[76,161],"geo-queries":[78],"(MS-GoGo).":[79],"With":[80],"extractor,":[84],"different":[85,116],"images":[89],"are":[90,108,111],"processed":[91],"separately":[92],"according":[93],"content":[96],"they":[97],"reflected,":[98],"distinctive":[103],"yet":[104],"complementary":[105],"features":[107],"generated.":[109],"Geo-queries":[110],"responsible":[112],"for":[113],"implicitly":[114],"embedding":[115],"time":[119],"probe":[124],"corresponding":[126],"similar":[127],"semantic":[128],"ingredients.":[129],"Due":[130],"coarse":[133],"existing":[137],"dataset,":[138],"new":[140],"dataset":[141],"named":[142],"LSCIDMR-V2":[143],"generated":[145],"fine-grained":[147],"cloud-type":[148],"annotation":[149],"multichannel":[151],"data.":[152],"The":[153,179],"experiment":[154],"shows":[155],"that,":[156],"using":[157],"geo-queries,":[163],"popular":[165],"used":[166],"metric":[167],"subset":[168],"accuracy":[169],"improved":[171],"from":[172],"40.06":[173],"42.87":[175],"44.35,":[177],"respectively.":[178],"proposed":[180],"method":[181],"achieves":[182],"mean":[184],"average":[185],"precision":[186],"82.40,":[188],"outperforming":[189],"state-of-the-art":[190],"methods.":[191]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":6}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
