{"id":"https://openalex.org/W2983309662","doi":"https://doi.org/10.1109/igarss.2019.8897958","title":"Thin and Thick Cloud Removal on Remote Sensing Image by Conditional Generative Adversarial Network","display_name":"Thin and Thick Cloud Removal on Remote Sensing Image by Conditional Generative Adversarial Network","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2983309662","doi":"https://doi.org/10.1109/igarss.2019.8897958","mag":"2983309662"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2019.8897958","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2019.8897958","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2019 - 2019 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/A5112205170","display_name":"Xiaoke Wang","orcid":"https://orcid.org/0000-0002-2421-3970"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210110458","display_name":"Institute of Electronics","ror":"https://ror.org/01z143507","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210110458"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoke Wang","raw_affiliation_strings":["Institute of Electronics, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Electronics, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210110458","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057853630","display_name":"Guangluan Xu","orcid":"https://orcid.org/0000-0003-3529-593X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210110458","display_name":"Institute of Electronics","ror":"https://ror.org/01z143507","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210110458"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangluan Xu","raw_affiliation_strings":["Institute of Electronics, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Electronics, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210110458","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100322712","display_name":"Yan Wang","orcid":"https://orcid.org/0000-0002-5344-1884"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210110458","display_name":"Institute of Electronics","ror":"https://ror.org/01z143507","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210110458"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Wang","raw_affiliation_strings":["Institute of Electronics, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Electronics, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210110458","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077204488","display_name":"Daoyu Lin","orcid":"https://orcid.org/0000-0002-8352-0081"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210110458","display_name":"Institute of Electronics","ror":"https://ror.org/01z143507","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210110458"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Daoyu Lin","raw_affiliation_strings":["Institute of Electronics, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Electronics, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210110458","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012712919","display_name":"Peiguang Li","orcid":"https://orcid.org/0000-0002-4838-7828"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210110458","display_name":"Institute of Electronics","ror":"https://ror.org/01z143507","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210110458"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peiguang Li","raw_affiliation_strings":["Institute of Electronics, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Electronics, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210110458","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089714926","display_name":"Xiujing Lin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiujing Lin","raw_affiliation_strings":["National nuclear emergency response and technical assistance center, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National nuclear emergency response and technical assistance center, Beijing, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.1186,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.82611366,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1426","last_page":"1429"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9987000226974487,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9977999925613403,"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/cloud-computing","display_name":"Cloud computing","score":0.8148097991943359},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6888552904129028},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5253947377204895},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.5224848389625549},{"id":"https://openalex.org/keywords/image-translation","display_name":"Image translation","score":0.5022046566009521},{"id":"https://openalex.org/keywords/translation","display_name":"Translation (biology)","score":0.49286985397338867},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46696120500564575},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4587877094745636},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.45110949873924255},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.449513703584671},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.38444870710372925},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.114219069480896}],"concepts":[{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.8148097991943359},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6888552904129028},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5253947377204895},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.5224848389625549},{"id":"https://openalex.org/C2779757391","wikidata":"https://www.wikidata.org/wiki/Q6002292","display_name":"Image translation","level":3,"score":0.5022046566009521},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.49286985397338867},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46696120500564575},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4587877094745636},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.45110949873924255},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.449513703584671},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38444870710372925},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.114219069480896},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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/C105580179","wikidata":"https://www.wikidata.org/wiki/Q188928","display_name":"Messenger RNA","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2019.8897958","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2019.8897958","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2019 - 2019 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":12,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2099471712","https://openalex.org/W2189401730","https://openalex.org/W2736566689","https://openalex.org/W2774182968","https://openalex.org/W2902060108","https://openalex.org/W2907674209","https://openalex.org/W2963073614","https://openalex.org/W4285719527","https://openalex.org/W4320013936","https://openalex.org/W6639824700","https://openalex.org/W6757526026"],"related_works":["https://openalex.org/W2359614599","https://openalex.org/W3109545856","https://openalex.org/W4288069866","https://openalex.org/W4389232935","https://openalex.org/W3155045749","https://openalex.org/W2936127876","https://openalex.org/W4387421677","https://openalex.org/W4213477128","https://openalex.org/W2806541789","https://openalex.org/W3192242026"],"abstract_inverted_index":{"Cloud":[0],"removal":[1],"is":[2,53],"an":[3],"essential":[4],"step":[5],"to":[6,40,55],"enhance":[7],"the":[8,42,80],"quality":[9],"of":[10],"cloud-covered":[11,62,75,99,105],"remote":[12,76,100],"sensing":[13,77,101],"image.":[14],"In":[15,31],"recent":[16],"years,":[17],"conditional":[18],"Generative":[19],"Adversarial":[20],"Network":[21],"(cGAN)":[22],"yields":[23],"promising":[24],"improvement":[25],"in":[26,79,91],"plentiful":[27],"image-to-image":[28],"translation":[29],"tasks.":[30],"this":[32],"paper,":[33],"we":[34],"propose":[35],"a":[36],"novel":[37],"objective":[38],"function":[39],"upgrade":[41],"structural":[43],"similarity":[44],"index":[45],"based":[46],"on":[47,57,98],"cGAN.":[48],"We":[49],"discover":[50],"that":[51,85],"ImageGAN":[52],"effective":[54],"focus":[56],"global":[58],"information":[59],"for":[60,73],"thick":[61],"images":[63,78,102],"and":[64,95],"Patch-GAN":[65],"has":[66],"fewer":[67],"parameters":[68],"while":[69],"maintaining":[70],"outstanding":[71],"performance":[72,90],"thin":[74,104],"experiments.":[81],"Experimental":[82],"results":[83],"demonstrate":[84],"our":[86],"method":[87],"achieves":[88],"remarkable":[89],"both":[92],"PSNR,":[93],"SSIM":[94],"visual":[96],"effect":[97],"especially":[103],"images.":[106]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}