{"id":"https://openalex.org/W3155190101","doi":"https://doi.org/10.3390/rs13081512","title":"Deriving Non-Cloud Contaminated Sentinel-2 Images with RGB and Near-Infrared Bands from Sentinel-1 Images Based on a Conditional Generative Adversarial Network","display_name":"Deriving Non-Cloud Contaminated Sentinel-2 Images with RGB and Near-Infrared Bands from Sentinel-1 Images Based on a Conditional Generative Adversarial Network","publication_year":2021,"publication_date":"2021-04-14","ids":{"openalex":"https://openalex.org/W3155190101","doi":"https://doi.org/10.3390/rs13081512","mag":"3155190101"},"language":"en","primary_location":{"id":"doi:10.3390/rs13081512","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs13081512","pdf_url":"https://www.mdpi.com/2072-4292/13/8/1512/pdf","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/2072-4292/13/8/1512/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5063477309","display_name":"Quan Xiong","orcid":"https://orcid.org/0000-0002-5109-3812"},"institutions":[{"id":"https://openalex.org/I162714631","display_name":"George Mason University","ror":"https://ror.org/02jqj7156","country_code":"US","type":"education","lineage":["https://openalex.org/I162714631"]},{"id":"https://openalex.org/I52158045","display_name":"China Agricultural University","ror":"https://ror.org/04v3ywz14","country_code":"CN","type":"education","lineage":["https://openalex.org/I52158045"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Quan Xiong","raw_affiliation_strings":["Center for Spatial Information Science and Systems, George Mason University, 4400 University Dr., Fairfax, VA 22030, USA","College of Land Science and Technology, China Agricultural University, Beijing 100083, China"],"affiliations":[{"raw_affiliation_string":"Center for Spatial Information Science and Systems, George Mason University, 4400 University Dr., Fairfax, VA 22030, USA","institution_ids":["https://openalex.org/I162714631"]},{"raw_affiliation_string":"College of Land Science and Technology, China Agricultural University, Beijing 100083, China","institution_ids":["https://openalex.org/I52158045"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012116347","display_name":"Liping Di","orcid":"https://orcid.org/0000-0002-3953-9965"},"institutions":[{"id":"https://openalex.org/I162714631","display_name":"George Mason University","ror":"https://ror.org/02jqj7156","country_code":"US","type":"education","lineage":["https://openalex.org/I162714631"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Liping Di","raw_affiliation_strings":["Center for Spatial Information Science and Systems, George Mason University, 4400 University Dr., Fairfax, VA 22030, USA"],"affiliations":[{"raw_affiliation_string":"Center for Spatial Information Science and Systems, George Mason University, 4400 University Dr., Fairfax, VA 22030, USA","institution_ids":["https://openalex.org/I162714631"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078340301","display_name":"Quanlong Feng","orcid":"https://orcid.org/0000-0002-0569-4131"},"institutions":[{"id":"https://openalex.org/I211433327","display_name":"Ministry of Natural Resources","ror":"https://ror.org/02kxqx159","country_code":"CN","type":"government","lineage":["https://openalex.org/I211433327","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]},{"id":"https://openalex.org/I52158045","display_name":"China Agricultural University","ror":"https://ror.org/04v3ywz14","country_code":"CN","type":"education","lineage":["https://openalex.org/I52158045"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Quanlong Feng","raw_affiliation_strings":["College of Land Science and Technology, China Agricultural University, Beijing 100083, China","Key Laboratory of Agricultural Land Quality and Monitoring, Ministry of Natural Resources, Beijing 100083, China","Key Laboratory of Remote Sensing for Agri-Hazards, Ministry of Agriculture, Beijing 100083, China"],"affiliations":[{"raw_affiliation_string":"College of Land Science and Technology, China Agricultural University, Beijing 100083, China","institution_ids":["https://openalex.org/I52158045"]},{"raw_affiliation_string":"Key Laboratory of Agricultural Land Quality and Monitoring, Ministry of Natural Resources, Beijing 100083, China","institution_ids":["https://openalex.org/I211433327"]},{"raw_affiliation_string":"Key Laboratory of Remote Sensing for Agri-Hazards, Ministry of Agriculture, Beijing 100083, China","institution_ids":["https://openalex.org/I4210166112"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055443620","display_name":"Diyou Liu","orcid":"https://orcid.org/0000-0002-7025-2137"},"institutions":[{"id":"https://openalex.org/I52158045","display_name":"China Agricultural University","ror":"https://ror.org/04v3ywz14","country_code":"CN","type":"education","lineage":["https://openalex.org/I52158045"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Diyou Liu","raw_affiliation_strings":["College of Land Science and Technology, China Agricultural University, Beijing 100083, China"],"affiliations":[{"raw_affiliation_string":"College of Land Science and Technology, China Agricultural University, Beijing 100083, China","institution_ids":["https://openalex.org/I52158045"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100431879","display_name":"Wei Liu","orcid":"https://orcid.org/0000-0002-8755-4115"},"institutions":[{"id":"https://openalex.org/I52158045","display_name":"China Agricultural University","ror":"https://ror.org/04v3ywz14","country_code":"CN","type":"education","lineage":["https://openalex.org/I52158045"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Liu","raw_affiliation_strings":["College of Land Science and Technology, China Agricultural University, Beijing 100083, China"],"affiliations":[{"raw_affiliation_string":"College of Land Science and Technology, China Agricultural University, Beijing 100083, China","institution_ids":["https://openalex.org/I52158045"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063058077","display_name":"Xuli Zan","orcid":null},"institutions":[{"id":"https://openalex.org/I52158045","display_name":"China Agricultural University","ror":"https://ror.org/04v3ywz14","country_code":"CN","type":"education","lineage":["https://openalex.org/I52158045"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuli Zan","raw_affiliation_strings":["College of Land Science and Technology, China Agricultural University, Beijing 100083, China"],"affiliations":[{"raw_affiliation_string":"College of Land Science and Technology, China Agricultural University, Beijing 100083, China","institution_ids":["https://openalex.org/I52158045"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100351828","display_name":"Lin Zhang","orcid":"https://orcid.org/0000-0002-1663-5620"},"institutions":[{"id":"https://openalex.org/I52158045","display_name":"China Agricultural University","ror":"https://ror.org/04v3ywz14","country_code":"CN","type":"education","lineage":["https://openalex.org/I52158045"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Zhang","raw_affiliation_strings":["College of Land Science and Technology, China Agricultural University, Beijing 100083, China"],"affiliations":[{"raw_affiliation_string":"College of Land Science and Technology, China Agricultural University, Beijing 100083, China","institution_ids":["https://openalex.org/I52158045"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100837014","display_name":"Dehai Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I211433327","display_name":"Ministry of Natural Resources","ror":"https://ror.org/02kxqx159","country_code":"CN","type":"government","lineage":["https://openalex.org/I211433327","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]},{"id":"https://openalex.org/I52158045","display_name":"China Agricultural University","ror":"https://ror.org/04v3ywz14","country_code":"CN","type":"education","lineage":["https://openalex.org/I52158045"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dehai Zhu","raw_affiliation_strings":["College of Land Science and Technology, China Agricultural University, Beijing 100083, China","Key Laboratory of Agricultural Land Quality and Monitoring, Ministry of Natural Resources, Beijing 100083, China","Key Laboratory of Remote Sensing for Agri-Hazards, Ministry of Agriculture, Beijing 100083, China"],"affiliations":[{"raw_affiliation_string":"College of Land Science and Technology, China Agricultural University, Beijing 100083, China","institution_ids":["https://openalex.org/I52158045"]},{"raw_affiliation_string":"Key Laboratory of Agricultural Land Quality and Monitoring, Ministry of Natural Resources, Beijing 100083, China","institution_ids":["https://openalex.org/I211433327"]},{"raw_affiliation_string":"Key Laboratory of Remote Sensing for Agri-Hazards, Ministry of Agriculture, Beijing 100083, China","institution_ids":["https://openalex.org/I4210166112"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100462375","display_name":"Zhe Liu","orcid":"https://orcid.org/0000-0002-8214-8345"},"institutions":[{"id":"https://openalex.org/I211433327","display_name":"Ministry of Natural Resources","ror":"https://ror.org/02kxqx159","country_code":"CN","type":"government","lineage":["https://openalex.org/I211433327","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]},{"id":"https://openalex.org/I52158045","display_name":"China Agricultural University","ror":"https://ror.org/04v3ywz14","country_code":"CN","type":"education","lineage":["https://openalex.org/I52158045"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhe Liu","raw_affiliation_strings":["College of Land Science and Technology, China Agricultural University, Beijing 100083, China","Key Laboratory of Agricultural Land Quality and Monitoring, Ministry of Natural Resources, Beijing 100083, China","Key Laboratory of Remote Sensing for Agri-Hazards, Ministry of Agriculture, Beijing 100083, China"],"affiliations":[{"raw_affiliation_string":"College of Land Science and Technology, China Agricultural University, Beijing 100083, China","institution_ids":["https://openalex.org/I52158045"]},{"raw_affiliation_string":"Key Laboratory of Agricultural Land Quality and Monitoring, Ministry of Natural Resources, Beijing 100083, China","institution_ids":["https://openalex.org/I211433327"]},{"raw_affiliation_string":"Key Laboratory of Remote Sensing for Agri-Hazards, Ministry of Agriculture, Beijing 100083, China","institution_ids":["https://openalex.org/I4210166112"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038634873","display_name":"Xiaochuang Yao","orcid":"https://orcid.org/0000-0001-8068-9415"},"institutions":[{"id":"https://openalex.org/I211433327","display_name":"Ministry of Natural Resources","ror":"https://ror.org/02kxqx159","country_code":"CN","type":"government","lineage":["https://openalex.org/I211433327","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]},{"id":"https://openalex.org/I52158045","display_name":"China Agricultural University","ror":"https://ror.org/04v3ywz14","country_code":"CN","type":"education","lineage":["https://openalex.org/I52158045"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaochuang Yao","raw_affiliation_strings":["College of Land Science and Technology, China Agricultural University, Beijing 100083, China","Key Laboratory of Agricultural Land Quality and Monitoring, Ministry of Natural Resources, Beijing 100083, China","Key Laboratory of Remote Sensing for Agri-Hazards, Ministry of Agriculture, Beijing 100083, China"],"affiliations":[{"raw_affiliation_string":"College of Land Science and Technology, China Agricultural University, Beijing 100083, China","institution_ids":["https://openalex.org/I52158045"]},{"raw_affiliation_string":"Key Laboratory of Agricultural Land Quality and Monitoring, Ministry of Natural Resources, Beijing 100083, China","institution_ids":["https://openalex.org/I211433327"]},{"raw_affiliation_string":"Key Laboratory of Remote Sensing for Agri-Hazards, Ministry of Agriculture, Beijing 100083, China","institution_ids":["https://openalex.org/I4210166112"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100376176","display_name":"Xiaodong Zhang","orcid":"https://orcid.org/0009-0007-2490-3115"},"institutions":[{"id":"https://openalex.org/I211433327","display_name":"Ministry of Natural Resources","ror":"https://ror.org/02kxqx159","country_code":"CN","type":"government","lineage":["https://openalex.org/I211433327","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]},{"id":"https://openalex.org/I52158045","display_name":"China Agricultural University","ror":"https://ror.org/04v3ywz14","country_code":"CN","type":"education","lineage":["https://openalex.org/I52158045"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaodong Zhang","raw_affiliation_strings":["College of Land Science and Technology, China Agricultural University, Beijing 100083, China","Key Laboratory of Agricultural Land Quality and Monitoring, Ministry of Natural Resources, Beijing 100083, China","Key Laboratory of Remote Sensing for Agri-Hazards, Ministry of Agriculture, Beijing 100083, China"],"affiliations":[{"raw_affiliation_string":"College of Land Science and Technology, China Agricultural University, Beijing 100083, China","institution_ids":["https://openalex.org/I52158045"]},{"raw_affiliation_string":"Key Laboratory of Agricultural Land Quality and Monitoring, Ministry of Natural Resources, Beijing 100083, China","institution_ids":["https://openalex.org/I211433327"]},{"raw_affiliation_string":"Key Laboratory of Remote Sensing for Agri-Hazards, Ministry of Agriculture, Beijing 100083, China","institution_ids":["https://openalex.org/I4210166112"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":11,"corresponding_author_ids":["https://openalex.org/A5100376176"],"corresponding_institution_ids":["https://openalex.org/I211433327","https://openalex.org/I4210166112","https://openalex.org/I52158045"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":0.758,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.74389737,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"13","issue":"8","first_page":"1512","last_page":"1512"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":1.0,"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":1.0,"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":0.9980999827384949,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9976000189781189,"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":0.6734901666641235},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.5225533843040466},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5014755725860596},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4834669232368469},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.45736178755760193},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.4374963045120239},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.40251320600509644},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3547884225845337},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3329213857650757},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18787133693695068},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.13336971402168274},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11220461130142212}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6734901666641235},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.5225533843040466},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5014755725860596},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4834669232368469},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.45736178755760193},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.4374963045120239},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.40251320600509644},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3547884225845337},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3329213857650757},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18787133693695068},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.13336971402168274},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11220461130142212}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs13081512","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs13081512","pdf_url":"https://www.mdpi.com/2072-4292/13/8/1512/pdf","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:5d93d65bd1b94b9eabe305e64b494977","is_oa":true,"landing_page_url":"https://doaj.org/article/5d93d65bd1b94b9eabe305e64b494977","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"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 13, Iss 8, p 1512 (2021)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/13/8/1512/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs13081512","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs13081512","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs13081512","pdf_url":"https://www.mdpi.com/2072-4292/13/8/1512/pdf","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":[{"display_name":"Life in Land","score":0.5,"id":"https://metadata.un.org/sdg/15"}],"awards":[{"id":"https://openalex.org/G5476143423","display_name":null,"funder_award_id":"41771104","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8589651859","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320322725","funder_display_name":"China Scholarship Council"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3155190101.pdf","grobid_xml":"https://content.openalex.org/works/W3155190101.grobid-xml"},"referenced_works_count":45,"referenced_works":["https://openalex.org/W817971873","https://openalex.org/W1901129140","https://openalex.org/W1984670836","https://openalex.org/W1988477556","https://openalex.org/W2023306858","https://openalex.org/W2027776168","https://openalex.org/W2064076387","https://openalex.org/W2100495367","https://openalex.org/W2121885753","https://openalex.org/W2133665775","https://openalex.org/W2138763184","https://openalex.org/W2183623781","https://openalex.org/W2194775991","https://openalex.org/W2786355301","https://openalex.org/W2795018073","https://openalex.org/W2843468165","https://openalex.org/W2883102714","https://openalex.org/W2894340056","https://openalex.org/W2900500013","https://openalex.org/W2901339722","https://openalex.org/W2901818816","https://openalex.org/W2938704257","https://openalex.org/W2943214363","https://openalex.org/W2955639914","https://openalex.org/W2962793481","https://openalex.org/W2963073614","https://openalex.org/W2963444790","https://openalex.org/W2963904420","https://openalex.org/W2971888276","https://openalex.org/W2972279533","https://openalex.org/W2974499698","https://openalex.org/W2983309662","https://openalex.org/W3000672846","https://openalex.org/W3007629215","https://openalex.org/W3012965216","https://openalex.org/W3017151926","https://openalex.org/W3028448552","https://openalex.org/W3038234978","https://openalex.org/W3038579873","https://openalex.org/W3041874188","https://openalex.org/W3047144932","https://openalex.org/W3047543305","https://openalex.org/W3048331484","https://openalex.org/W3132020325","https://openalex.org/W6782152875"],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W2102148524","https://openalex.org/W2611989081","https://openalex.org/W2314720829","https://openalex.org/W2731899572","https://openalex.org/W4230611425","https://openalex.org/W2121524756","https://openalex.org/W4294635752","https://openalex.org/W4304166257","https://openalex.org/W4389345324"],"abstract_inverted_index":{"Sentinel-2":[0,35,168,180],"images":[1,36,42,77,95,107,111,169,181],"have":[2,186],"been":[3],"widely":[4],"used":[5],"in":[6],"studying":[7],"land":[8,45],"surface":[9,46],"phenomena":[10],"and":[11,34,108,141,160,190],"processes,":[12],"but":[13],"they":[14],"inevitably":[15],"suffer":[16],"from":[17,78],"cloud":[18],"contamination.":[19],"To":[20,135],"solve":[21],"this":[22,49],"critical":[23],"optical":[24],"data":[25,55],"availability":[26],"issue,":[27],"it":[28,126],"is":[29,73],"ideal":[30],"to":[31,37,75,81,90,116],"fuse":[32],"Sentinel-1":[33,110],"create":[38],"fused,":[39,92],"cloud-free":[40,93],"Sentinel-2-like":[41,94],"for":[43,96],"facilitating":[44],"applications.":[47],"In":[48,114],"paper,":[50],"we":[51,87,123,143],"propose":[52],"a":[53,97,102,187],"new":[54],"fusion":[56],"model,":[57,86],"the":[58,67,85,118,132,137,145,166,178,184,196],"Multi-channels":[59],"Conditional":[60],"Generative":[61],"Adversarial":[62],"Network":[63],"(MCcGAN),":[64],"based":[65],"on":[66],"conditional":[68],"generative":[69],"adversarial":[70],"network,":[71],"which":[72],"able":[74,89],"convert":[76],"Domain":[79,82],"A":[80],"B.":[83],"With":[84],"were":[88],"generate":[91],"target":[98],"date":[99],"by":[100,171,183],"using":[101,131],"pair":[103],"of":[104,120,165],"reference":[105],"Sentinel-1/Sentinel-2":[106],"target-date":[109],"as":[112],"inputs.":[113],"order":[115],"demonstrate":[117],"superiority":[119],"our":[121],"method,":[122],"also":[124],"compared":[125],"with":[127],"other":[128],"state-of-the-art":[129],"methods":[130],"same":[133],"data.":[134],"make":[136],"evaluation":[138],"more":[139],"objective":[140],"reliable,":[142],"calculated":[144],"root-mean-square-error":[146],"(RSME),":[147],"R2,":[148],"Kling\u2013Gupta":[149],"efficiency":[150],"(KGE),":[151],"structural":[152],"similarity":[153],"index":[154],"(SSIM),":[155],"spectral":[156],"angle":[157],"mapper":[158],"(SAM),":[159],"peak":[161],"signal-to-noise":[162],"ratio":[163],"(PSNR)":[164],"simulated":[167,179],"generated":[170,182],"different":[172],"methods.":[173,198],"The":[174],"results":[175],"show":[176],"that":[177],"MCcGAN":[185],"higher":[188],"quality":[189],"accuracy":[191],"than":[192],"those":[193],"produced":[194],"via":[195],"previous":[197]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":4}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
