{"id":"https://openalex.org/W4206242275","doi":"https://doi.org/10.1109/lgrs.2022.3144686","title":"Cloud Removal in Optical Remote Sensing Imagery Using Multiscale Distortion-Aware Networks","display_name":"Cloud Removal in Optical Remote Sensing Imagery Using Multiscale Distortion-Aware Networks","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4206242275","doi":"https://doi.org/10.1109/lgrs.2022.3144686"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2022.3144686","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2022.3144686","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","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/A5101879009","display_name":"Weikang Yu","orcid":"https://orcid.org/0000-0003-1111-572X"},"institutions":[{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Weikang Yu","raw_affiliation_strings":["School of Science and Engineering, Chinese University of Hong Kong in Shenzhen, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"School of Science and Engineering, Chinese University of Hong Kong in Shenzhen, Shenzhen, China","institution_ids":["https://openalex.org/I4210116924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100412323","display_name":"Xiaokang Zhang","orcid":"https://orcid.org/0000-0002-6127-4801"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaokang Zhang","raw_affiliation_strings":["School of Science and Engineering, Chinese University of Hong Kong in Shenzhen, Shenzhen, China","School of Mathematical Sciences, University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"School of Science and Engineering, Chinese University of Hong Kong in Shenzhen, Shenzhen, China","institution_ids":["https://openalex.org/I4210116924"]},{"raw_affiliation_string":"School of Mathematical Sciences, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040559125","display_name":"Man-On Pun","orcid":"https://orcid.org/0000-0003-3316-5381"},"institutions":[{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Man-On Pun","raw_affiliation_strings":["School of Science and Engineering, Chinese University of Hong Kong in Shenzhen, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"School of Science and Engineering, Chinese University of Hong Kong in Shenzhen, Shenzhen, China","institution_ids":["https://openalex.org/I4210116924"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101879009"],"corresponding_institution_ids":["https://openalex.org/I4210116924"],"apc_list":null,"apc_paid":null,"fwci":3.6039,"has_fulltext":false,"cited_by_count":35,"citation_normalized_percentile":{"value":0.93557843,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"19","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9998000264167786,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9998000264167786,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9995999932289124,"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9991999864578247,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.8418391942977905},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.7921617031097412},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7295624613761902},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.6157194375991821},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.526150643825531},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.48490411043167114},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4224681258201599},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.391667902469635},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.13307884335517883},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.09916958212852478},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.08131259679794312}],"concepts":[{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.8418391942977905},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.7921617031097412},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7295624613761902},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.6157194375991821},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.526150643825531},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.48490411043167114},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4224681258201599},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.391667902469635},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.13307884335517883},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.09916958212852478},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.08131259679794312},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"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/lgrs.2022.3144686","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2022.3144686","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4769074195","display_name":null,"funder_award_id":"JCYJ20190813170803617","funder_id":"https://openalex.org/F4320326705","funder_display_name":"Science, Technology and Innovation Commission of Shenzhen Municipality"},{"id":"https://openalex.org/G6396617273","display_name":null,"funder_award_id":"41801323","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6422931144","display_name":null,"funder_award_id":"2020M682038","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320326705","display_name":"Science, Technology and Innovation Commission of Shenzhen Municipality","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2128254161","https://openalex.org/W2736566689","https://openalex.org/W2896979201","https://openalex.org/W2900639982","https://openalex.org/W2925392274","https://openalex.org/W3027778336","https://openalex.org/W3041874188","https://openalex.org/W3120917255","https://openalex.org/W3138962416","https://openalex.org/W3156576334","https://openalex.org/W6757526026"],"related_works":["https://openalex.org/W4318664220","https://openalex.org/W2771047279","https://openalex.org/W4388409104","https://openalex.org/W2124951708","https://openalex.org/W1544811710","https://openalex.org/W172072032","https://openalex.org/W2006066416","https://openalex.org/W3157073418","https://openalex.org/W2021642829","https://openalex.org/W2058127401"],"abstract_inverted_index":{"Cloud":[0],"layer":[1],"contamination":[2],"is":[3],"a":[4,64,81],"common":[5],"problem":[6],"in":[7,23,80,109,130],"optical":[8],"remote":[9],"sensing":[10],"(RS)":[11],"images.":[12],"Deep-learning-based":[13],"cloud":[14,37,47,67,86,107],"removal":[15,68],"from":[16,36],"RS":[17,159],"imagery":[18,38],"has":[19],"attracted":[20],"increasing":[21],"attention":[22,139],"recent":[24],"years.":[25],"However,":[26],"it":[27],"remains":[28],"challenging":[29],"to":[30,40,99,141],"exploit":[31],"useful":[32],"multiscale":[33,65,82],"cloud-aware":[34],"representations":[35,123],"due":[39],"the":[41,51,96,102,110,117,131,147,162,165],"lack":[42],"of":[43,46,56,72,119,150,164],"effective":[44],"modeling":[45],"distortion":[48,87,103],"effects":[49,104],"and":[50,93,134,157],"weak":[52],"feature":[53],"representation":[54,75],"capabilities":[55],"networks.":[57],"To":[58],"circumvent":[59],"these":[60],"challenges,":[61],"we":[62],"propose":[63],"distortion-aware":[66],"(MSDA-CR)":[69],"network":[70,133],"consisting":[71],"multiple":[73],"cloud-distortion-aware":[74],"learning":[76],"(CDARL)":[77],"modules":[78,98],"combined":[79],"grid":[83],"architecture.":[84],"Specifically,":[85],"control":[88],"functions":[89],"(CDCFs)":[90],"are":[91,124],"defined":[92],"incorporated":[94],"into":[95],"CDARL":[97],"adaptively":[100],"model":[101],"induced":[105],"by":[106],"interference":[108],"imaging":[111],"process,":[112],"with":[113],"learnable":[114],"parameters":[115],"for":[116],"exploitation":[118],"distortion-restored":[120],"representations.":[121],"These":[122],"further":[125],"distilled":[126],"across":[127],"different":[128],"scales":[129],"MSDA-CR":[132,167],"integrated":[135],"based":[136],"on":[137,155],"an":[138],"mechanism":[140],"restore":[142],"cloud-free":[143],"images":[144],"while":[145],"retaining":[146],"spatial":[148],"structures":[149],"ground":[151],"objects.":[152],"Extensive":[153],"experiments":[154],"visible":[156],"multispectral":[158],"datasets":[160],"confirm":[161],"effectiveness":[163],"proposed":[166],"network.":[168]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
