{"id":"https://openalex.org/W4387344272","doi":"https://doi.org/10.3390/rs15194820","title":"A Prior-Knowledge-Based Generative Adversarial Network for Unsupervised Satellite Cloud Image Restoration","display_name":"A Prior-Knowledge-Based Generative Adversarial Network for Unsupervised Satellite Cloud Image Restoration","publication_year":2023,"publication_date":"2023-10-04","ids":{"openalex":"https://openalex.org/W4387344272","doi":"https://doi.org/10.3390/rs15194820"},"language":"en","primary_location":{"id":"doi:10.3390/rs15194820","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15194820","pdf_url":"https://www.mdpi.com/2072-4292/15/19/4820/pdf?version=1696414306","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/2072-4292/15/19/4820/pdf?version=1696414306","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5065902596","display_name":"Liling Zhao","orcid":null},"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"]},{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liling Zhao","raw_affiliation_strings":["School of Automation, Nanjing University of Information Science and Technology, Nanjing 210094, China","School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing 210094, China"],"raw_orcid":"https://orcid.org/0000-0001-7487-7305","affiliations":[{"raw_affiliation_string":"School of Automation, Nanjing University of Information Science and Technology, Nanjing 210094, China","institution_ids":["https://openalex.org/I200845125"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing 210094, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093002914","display_name":"Xiaoao Duanmu","orcid":null},"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":"Xiaoao Duanmu","raw_affiliation_strings":["School of Automation, Nanjing University of Information Science and Technology, Nanjing 210094, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation, Nanjing University of Information Science and Technology, Nanjing 210094, China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034434932","display_name":"Quansen Sun","orcid":"https://orcid.org/0000-0001-6019-1986"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Quansen Sun","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing 210094, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing 210094, China","institution_ids":["https://openalex.org/I36399199"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5034434932"],"corresponding_institution_ids":["https://openalex.org/I36399199"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":0.1138,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.41363713,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"15","issue":"19","first_page":"4820","last_page":"4820"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9998000264167786,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9998000264167786,"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":0.9984999895095825,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9951000213623047,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7509341239929199},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6346563100814819},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.6014806032180786},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.5724343061447144},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4739782214164734},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.44344601035118103},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.4334336221218109},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.4212776720523834},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.341264933347702},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.32819104194641113},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.31308168172836304},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.24363502860069275},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.15257138013839722},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1024915874004364}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7509341239929199},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6346563100814819},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.6014806032180786},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.5724343061447144},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4739782214164734},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.44344601035118103},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.4334336221218109},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.4212776720523834},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.341264933347702},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32819104194641113},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.31308168172836304},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.24363502860069275},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.15257138013839722},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1024915874004364},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"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/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/rs15194820","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15194820","pdf_url":"https://www.mdpi.com/2072-4292/15/19/4820/pdf?version=1696414306","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:f9099e3ee694457a88bf7f6e5a3b7c26","is_oa":true,"landing_page_url":"https://doaj.org/article/f9099e3ee694457a88bf7f6e5a3b7c26","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":"Remote Sensing, Vol 15, Iss 19, p 4820 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/rs15194820","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15194820","pdf_url":"https://www.mdpi.com/2072-4292/15/19/4820/pdf?version=1696414306","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":[{"id":"https://openalex.org/G3948673428","display_name":null,"funder_award_id":"62372235","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8010714775","display_name":null,"funder_award_id":"61802199","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4387344272.pdf"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W54257720","https://openalex.org/W2049352069","https://openalex.org/W2242218935","https://openalex.org/W2325678563","https://openalex.org/W2355812597","https://openalex.org/W2908332310","https://openalex.org/W2962793481","https://openalex.org/W2963372104","https://openalex.org/W2963470893","https://openalex.org/W2963684405","https://openalex.org/W2963704386","https://openalex.org/W2970778968","https://openalex.org/W3034785019","https://openalex.org/W3037912599","https://openalex.org/W3039820602","https://openalex.org/W3041874188","https://openalex.org/W3043538212","https://openalex.org/W3046580598","https://openalex.org/W3130107790","https://openalex.org/W3203631022","https://openalex.org/W3204971388","https://openalex.org/W3207673409","https://openalex.org/W4288107876","https://openalex.org/W4385180928","https://openalex.org/W6781412027"],"related_works":["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","https://openalex.org/W4389340727","https://openalex.org/W2802581102","https://openalex.org/W4205786897"],"abstract_inverted_index":{"High-quality":[0],"satellite":[1,34,52,113,145,176,191],"cloud":[2,53,114,146,177],"images":[3,17,150,155],"are":[4,18],"of":[5,15,127,183],"great":[6],"significance":[7],"for":[8,56,233],"weather":[9],"diagnosis":[10],"and":[11,29,91,204,209,228],"prediction.":[12],"However,":[13],"many":[14],"these":[16],"often":[19],"degraded":[20],"due":[21],"to":[22,48,86,103,169,207],"relative":[23],"motion,":[24],"atmospheric":[25],"turbulence,":[26],"instrument":[27],"noise,":[28],"other":[30,226],"factors.":[31],"In":[32,59,108,135],"the":[33,37,51,75,79,88,92,96,105,132,143,159,188,194,217],"imaging":[35,115],"process,":[36],"degradation":[38],"also":[39],"cannot":[40],"be":[41],"completely":[42],"corrected.":[43],"Therefore,":[44],"it":[45],"is":[46,119,186,200,214],"necessary":[47],"further":[49],"improve":[50,104],"image":[54,66,106,147,178,219,234],"quality":[55],"real":[57],"applications.":[58],"this":[60],"study,":[61],"we":[62,110,137],"propose":[63,111],"an":[64],"unsupervised":[65,229],"restoration":[67],"model":[68,130,237,249],"with":[69,153,225],"a":[70,112,120,128,139,170,239],"two-stage":[71],"network,":[72],"in":[73,175],"which":[74,118,141],"first":[76],"stage,":[77,94],"named":[78,95],"Prior-Knowledge-based":[80],"Generative":[81],"Adversarial":[82],"Network":[83,100],"(PKKernelGAN),":[84],"aims":[85,102],"learn":[87],"blur":[89,160],"kernel,":[90],"second":[93],"Zero-Shot":[97],"Deep":[98],"Residual":[99],"(ZSResNet),":[101],"quality.":[107],"PKKernelGAN,":[109],"loss":[116],"function,":[117],"novel":[121],"objective":[122],"function":[123],"that":[124,246],"brings":[125],"optimization":[126],"generative":[129],"into":[131,202],"prior-knowledge":[133],"domain.":[134],"ZSResNet,":[136],"build":[138],"dataset":[140,182,199],"contains":[142],"original":[144,181],"as":[148],"high-quality":[149],"(HQ)":[151],"paired":[152],"low-quality":[154],"(LQ)":[156],"generated":[157,221],"by":[158,193,216,222],"kernel":[161],"learning":[162,231],"from":[163,187],"PKKernelGAN.":[164,211,223],"The":[165,180],"above":[166],"innovations":[167],"lead":[168],"more":[171],"efficient":[172],"local":[173],"structure":[174],"restoration.":[179],"our":[184,236,247],"experiment":[185],"Sunflower":[189],"8":[190],"provided":[192],"Japan":[195],"Meteorological":[196],"Agency.":[197],"This":[198],"divided":[201],"training":[203],"testing":[205],"sets":[206],"train":[208],"test":[210],"Then,":[212],"ZSResNet":[213],"trained":[215],"\u201cLQ\u2013HQ\u201d":[218],"pairs":[220],"Compared":[224],"supervised":[227],"deep":[230],"models":[232],"restoration,":[235],"has":[238],"better":[240,252],"performance.":[241],"Extensive":[242],"experiments":[243],"have":[244],"demonstrated":[245],"proposed":[248],"can":[250],"achieve":[251],"performance":[253],"on":[254],"different":[255],"datasets.":[256]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
