{"id":"https://openalex.org/W4404035228","doi":"https://doi.org/10.1109/access.2024.3491171","title":"MCGFE-CR: Cloud Removal With Multiscale Context-Guided Feature Enhancement Network","display_name":"MCGFE-CR: Cloud Removal With Multiscale Context-Guided Feature Enhancement Network","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4404035228","doi":"https://doi.org/10.1109/access.2024.3491171"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3491171","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3491171","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2024.3491171","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5025166208","display_name":"Qiang Bie","orcid":"https://orcid.org/0000-0002-6894-7474"},"institutions":[{"id":"https://openalex.org/I3133134087","display_name":"Lanzhou Jiaotong University","ror":"https://ror.org/03144pv92","country_code":"CN","type":"education","lineage":["https://openalex.org/I3133134087"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang Bie","raw_affiliation_strings":["Faculty of Geomatics, Lanzhou Jiaotong University, Lanzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-6894-7474","affiliations":[{"raw_affiliation_string":"Faculty of Geomatics, Lanzhou Jiaotong University, Lanzhou, China","institution_ids":["https://openalex.org/I3133134087"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035627657","display_name":"Xingtao Su","orcid":"https://orcid.org/0009-0002-5632-1391"},"institutions":[{"id":"https://openalex.org/I3133134087","display_name":"Lanzhou Jiaotong University","ror":"https://ror.org/03144pv92","country_code":"CN","type":"education","lineage":["https://openalex.org/I3133134087"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaojie Su","raw_affiliation_strings":["Faculty of Geomatics, Lanzhou Jiaotong University, Lanzhou, China"],"raw_orcid":"https://orcid.org/0009-0002-5632-1391","affiliations":[{"raw_affiliation_string":"Faculty of Geomatics, Lanzhou Jiaotong University, Lanzhou, China","institution_ids":["https://openalex.org/I3133134087"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I3133134087"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.6131,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.6895595,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"12","issue":null,"first_page":"181303","last_page":"181315"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9972000122070312,"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"}},"topics":[{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9972000122070312,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9957000017166138,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9954000115394592,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.6961972117424011},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6830689907073975},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5862036347389221},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5443969368934631},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.11171752214431763}],"concepts":[{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.6961972117424011},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6830689907073975},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5862036347389221},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5443969368934631},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.11171752214431763},{"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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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":2,"locations":[{"id":"doi:10.1109/access.2024.3491171","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3491171","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:f41b462e2dc14bf2ae225f6ce759416a","is_oa":true,"landing_page_url":"https://doaj.org/article/f41b462e2dc14bf2ae225f6ce759416a","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 12, Pp 181303-181315 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3491171","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3491171","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7225894171","display_name":null,"funder_award_id":"2022YFB3903604","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G7294964783","display_name":null,"funder_award_id":"KF20230801","funder_id":"https://openalex.org/F4320327727","funder_display_name":"Open Fund of Key Laboratory of Sediment Research"}],"funders":[{"id":"https://openalex.org/F4320327727","display_name":"Open Fund of Key Laboratory of Sediment Research","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W225057856","https://openalex.org/W1655403841","https://openalex.org/W1998680950","https://openalex.org/W2001547114","https://openalex.org/W2028191110","https://openalex.org/W2085793179","https://openalex.org/W2096461046","https://openalex.org/W2194775991","https://openalex.org/W2575963352","https://openalex.org/W2752782242","https://openalex.org/W2776526448","https://openalex.org/W2885850997","https://openalex.org/W2894340056","https://openalex.org/W2901339722","https://openalex.org/W2946349008","https://openalex.org/W2962749812","https://openalex.org/W2972279533","https://openalex.org/W2979583884","https://openalex.org/W3000672846","https://openalex.org/W3038579873","https://openalex.org/W3085291485","https://openalex.org/W3090227540","https://openalex.org/W3096831136","https://openalex.org/W3138516171","https://openalex.org/W3207918547","https://openalex.org/W3215865232","https://openalex.org/W4207042493","https://openalex.org/W4213252277","https://openalex.org/W4294215798","https://openalex.org/W4312844149","https://openalex.org/W4313134080","https://openalex.org/W4319166471","https://openalex.org/W4321376230","https://openalex.org/W4321435343","https://openalex.org/W4321498323","https://openalex.org/W4362518928","https://openalex.org/W4366827602","https://openalex.org/W4385245566"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W4244478748","https://openalex.org/W3150465815","https://openalex.org/W4223488648","https://openalex.org/W2134969820","https://openalex.org/W2251605416","https://openalex.org/W1997222214","https://openalex.org/W2560439919"],"abstract_inverted_index":{"Optical":[0,237],"remote":[1,54],"sensing":[2,55],"imagery":[3],"is":[4,43,97],"often":[5],"contaminated":[6],"by":[7,109,276,290],"clouds":[8,39],"and":[9,19,32,40,130,148,167,188,197,205,215,229,265,272,280,286,295,309,321],"cloud":[10,41,58,189,326],"shadows,":[11],"leading":[12],"to":[13,75,236,278,292],"the":[14,21,36,46,50,82,98,161,169,202],"loss":[15,83],"of":[16,23,38,45,52,84,94,171,318],"ground":[17,319],"information":[18,151,313,320],"limiting":[20],"application":[22],"optical":[24,53,132,157,322],"images":[25,127,323],"in":[26,49,81,88,247,314],"fields":[27],"such":[28],"as":[29],"change":[30],"detection":[31],"object":[33],"classification.":[34],"Therefore,":[35],"removal":[37,59,190],"shadows":[42],"one":[44],"important":[47],"tasks":[48],"processing":[51],"imagery.":[56,133],"Currently,":[57],"methods":[60],"with":[61,180,201,324],"better":[62,103],"performance":[63],"are":[64],"mainly":[65],"based":[66],"on":[67,193],"Convolutional":[68],"Neural":[69,213],"Networks":[70],"(CNNs).":[71],"However,":[72],"they":[73],"fail":[74],"capture":[76,104],"global":[77,85,105,147,162,195],"context":[78,86,106,150],"information,":[79],"resulting":[80],"features":[87,164],"image":[89],"reconstruction.":[90],"The":[91,184,242,270,298],"underlying":[92],"architecture":[93],"Transformer":[95],"networks":[96],"attention":[99],"mechanism,":[100],"which":[101,122,144],"can":[102,123,145],"features.":[107],"Inspired":[108],"this,":[110],"we":[111,136,175],"propose":[112],"a":[113,138,177,194],"Multi-Scale":[114,139],"Context-Guided":[115],"Feature":[116],"Enhancement":[117],"Cloud":[118,225,239],"Removal":[119,226,240],"Network":[120,209,214,219,227,232],"(MCGFE-CR),":[121],"directly":[124],"reconstruct":[125],"cloud-free":[126],"from":[128],"SAR":[129,172,224,234],"multi-cloud":[131],"In":[134],"MCGFE-CR,":[135],"embed":[137],"Context-Attention":[140],"Guidance":[141],"(MSCAG)":[142],"block,":[143],"guide":[146],"local":[149],"at":[152],"multiple":[153],"scales":[154],"into":[155],"cloudy":[156],"images.":[158],"To":[159],"enhance":[160],"structural":[163,311],"after":[165],"fusion":[166],"reduce":[168],"impact":[170],"speckle":[173],"noise,":[174],"incorporate":[176],"Residual":[178,212],"Block":[179],"Channel":[181],"Attention":[182],"(RBCA).":[183],"network":[185],"was":[186,191,199],"trained":[187],"performed":[192],"dataset,":[196],"it":[198],"compared":[200],"Hierarchical":[203],"Spectral":[204,261],"Structural":[206,266],"Preservation":[207],"Fusion":[208,218,222],"(HS2P),":[210],"Deep":[211],"SAR-Optical":[216],"Data":[217],"(DSen2-CR),":[220],"Global-Local":[221],"Enhanced":[223],"(GLF-CR),":[228],"Generative":[230],"Adversarial":[231],"for":[233],"Image":[235,238],"(GAN-CR).":[241],"method":[243,304],"showed":[244],"significant":[245],"improvements":[246],"Mean":[248,253],"Absolute":[249],"Error":[250,255],"(MAE),":[251],"Root":[252],"Square":[254],"(RMSE),":[256],"Peak":[257],"Signal-to-Noise":[258],"Ratio":[259],"(PSNR),":[260],"Angle":[262],"Mapper":[263],"(SAM),":[264],"Similarity":[267],"Index":[268],"(SSIM).":[269],"MAE":[271],"RMSE":[273],"were":[274,288],"reduced":[275],"up":[277,291],"0.0056":[279],"0.0129,":[281],"respectively,":[282],"while":[283],"PSNR,":[284],"SAM,":[285],"SSIM":[287],"increased":[289],"3.8004,":[293],"3.2118,":[294],"0.0385,":[296],"respectively.":[297],"experimental":[299],"results":[300],"demonstrate":[301],"that":[302],"this":[303],"has":[305],"higher":[306],"spectral":[307],"fidelity":[308],"richer":[310],"texture":[312],"reconstructing":[315],"various":[316],"types":[317],"different":[325],"coverage":[327],"areas.":[328]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}