{"id":"https://openalex.org/W4381572513","doi":"https://doi.org/10.3390/rs15112827","title":"Gradient Structure Information-Guided Attention Generative Adversarial Networks for Remote Sensing Image Generation","display_name":"Gradient Structure Information-Guided Attention Generative Adversarial Networks for Remote Sensing Image Generation","publication_year":2023,"publication_date":"2023-05-29","ids":{"openalex":"https://openalex.org/W4381572513","doi":"https://doi.org/10.3390/rs15112827"},"language":"en","primary_location":{"id":"doi:10.3390/rs15112827","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15112827","pdf_url":"https://www.mdpi.com/2072-4292/15/11/2827/pdf?version=1685368700","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/2072-4292/15/11/2827/pdf?version=1685368700","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5113037386","display_name":"Baoyu Zhu","orcid":null},"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/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baoyu Zhu","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences, No.9 Dengzhuang South Road, Haidian District, Beijing 100094, China","Department of Key Laboratory of Computational Optical Imagine Technology, CAS, No.9 Dengzhuang South Road, Haidian District, Beijing 100094, China","School of Optoelectronics, University of Chinese Academy of Sciences, No.19(A) Yuquan Road, Shijingshan District, Beijing 100049, China"],"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences, No.9 Dengzhuang South Road, Haidian District, Beijing 100094, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Department of Key Laboratory of Computational Optical Imagine Technology, CAS, No.9 Dengzhuang South Road, Haidian District, Beijing 100094, China","institution_ids":[]},{"raw_affiliation_string":"School of Optoelectronics, University of Chinese Academy of Sciences, No.19(A) Yuquan Road, Shijingshan District, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110079566","display_name":"Qunbo Lv","orcid":null},"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/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qunbo Lv","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences, No.9 Dengzhuang South Road, Haidian District, Beijing 100094, China","Department of Key Laboratory of Computational Optical Imagine Technology, CAS, No.9 Dengzhuang South Road, Haidian District, Beijing 100094, China","School of Optoelectronics, University of Chinese Academy of Sciences, No.19(A) Yuquan Road, Shijingshan District, Beijing 100049, China"],"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences, No.9 Dengzhuang South Road, Haidian District, Beijing 100094, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Department of Key Laboratory of Computational Optical Imagine Technology, CAS, No.9 Dengzhuang South Road, Haidian District, Beijing 100094, China","institution_ids":[]},{"raw_affiliation_string":"School of Optoelectronics, University of Chinese Academy of Sciences, No.19(A) Yuquan Road, Shijingshan District, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083429029","display_name":"Yuanbo Yang","orcid":"https://orcid.org/0009-0006-3442-1024"},"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/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanbo Yang","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences, No.9 Dengzhuang South Road, Haidian District, Beijing 100094, China","Department of Key Laboratory of Computational Optical Imagine Technology, CAS, No.9 Dengzhuang South Road, Haidian District, Beijing 100094, China","School of Optoelectronics, University of Chinese Academy of Sciences, No.19(A) Yuquan Road, Shijingshan District, Beijing 100049, China"],"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences, No.9 Dengzhuang South Road, Haidian District, Beijing 100094, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Department of Key Laboratory of Computational Optical Imagine Technology, CAS, No.9 Dengzhuang South Road, Haidian District, Beijing 100094, China","institution_ids":[]},{"raw_affiliation_string":"School of Optoelectronics, University of Chinese Academy of Sciences, No.19(A) Yuquan Road, Shijingshan District, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025410378","display_name":"Kai Zhang","orcid":"https://orcid.org/0000-0001-5206-9868"},"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/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Zhang","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences, No.9 Dengzhuang South Road, Haidian District, Beijing 100094, China","Department of Key Laboratory of Computational Optical Imagine Technology, CAS, No.9 Dengzhuang South Road, Haidian District, Beijing 100094, China"],"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences, No.9 Dengzhuang South Road, Haidian District, Beijing 100094, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Department of Key Laboratory of Computational Optical Imagine Technology, CAS, No.9 Dengzhuang South Road, Haidian District, Beijing 100094, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049918065","display_name":"Xuefu Sui","orcid":null},"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/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuefu Sui","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences, No.9 Dengzhuang South Road, Haidian District, Beijing 100094, China","Department of Key Laboratory of Computational Optical Imagine Technology, CAS, No.9 Dengzhuang South Road, Haidian District, Beijing 100094, China","School of Optoelectronics, University of Chinese Academy of Sciences, No.19(A) Yuquan Road, Shijingshan District, Beijing 100049, China"],"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences, No.9 Dengzhuang South Road, Haidian District, Beijing 100094, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Department of Key Laboratory of Computational Optical Imagine Technology, CAS, No.9 Dengzhuang South Road, Haidian District, Beijing 100094, China","institution_ids":[]},{"raw_affiliation_string":"School of Optoelectronics, University of Chinese Academy of Sciences, No.19(A) Yuquan Road, Shijingshan District, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034493101","display_name":"Yinhui Tang","orcid":"https://orcid.org/0000-0002-1840-3276"},"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/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yinhui Tang","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences, No.9 Dengzhuang South Road, Haidian District, Beijing 100094, China","Department of Key Laboratory of Computational Optical Imagine Technology, CAS, No.9 Dengzhuang South Road, Haidian District, Beijing 100094, China","School of Optoelectronics, University of Chinese Academy of Sciences, No.19(A) Yuquan Road, Shijingshan District, Beijing 100049, China"],"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences, No.9 Dengzhuang South Road, Haidian District, Beijing 100094, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Department of Key Laboratory of Computational Optical Imagine Technology, CAS, No.9 Dengzhuang South Road, Haidian District, Beijing 100094, China","institution_ids":[]},{"raw_affiliation_string":"School of Optoelectronics, University of Chinese Academy of Sciences, No.19(A) Yuquan Road, Shijingshan District, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101966995","display_name":"Zheng Tan","orcid":"https://orcid.org/0000-0002-3795-9210"},"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/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zheng Tan","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences, No.9 Dengzhuang South Road, Haidian District, Beijing 100094, China","Department of Key Laboratory of Computational Optical Imagine Technology, CAS, No.9 Dengzhuang South Road, Haidian District, Beijing 100094, China"],"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences, No.9 Dengzhuang South Road, Haidian District, Beijing 100094, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Department of Key Laboratory of Computational Optical Imagine Technology, CAS, No.9 Dengzhuang South Road, Haidian District, Beijing 100094, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5101966995"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210137199"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":0.1194,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.38631499,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"15","issue":"11","first_page":"2827","last_page":"2827"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9955000281333923,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9955000281333923,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9955000281333923,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9937000274658203,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"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/computer-science","display_name":"Computer science","score":0.8052846193313599},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.5419420003890991},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.5261613726615906},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4949173331260681},{"id":"https://openalex.org/keywords/mutual-information","display_name":"Mutual information","score":0.4894605875015259},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.48288750648498535},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47137343883514404},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.43822094798088074},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4111039638519287},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.39051714539527893},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35774940252304077},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.08945393562316895}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8052846193313599},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.5419420003890991},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.5261613726615906},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4949173331260681},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.4894605875015259},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.48288750648498535},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47137343883514404},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.43822094798088074},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4111039638519287},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.39051714539527893},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35774940252304077},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.08945393562316895},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs15112827","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15112827","pdf_url":"https://www.mdpi.com/2072-4292/15/11/2827/pdf?version=1685368700","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:0ae19d0068a940d6b77b7278e5582955","is_oa":true,"landing_page_url":"https://doaj.org/article/0ae19d0068a940d6b77b7278e5582955","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","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 15, Iss 11, p 2827 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/15/11/2827/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs15112827","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; Volume 15; Issue 11; Pages: 2827","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs15112827","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15112827","pdf_url":"https://www.mdpi.com/2072-4292/15/11/2827/pdf?version=1685368700","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":[{"id":"https://metadata.un.org/sdg/9","score":0.4399999976158142,"display_name":"Industry, innovation and infrastructure"}],"awards":[{"id":"https://openalex.org/G4878274934","display_name":null,"funder_award_id":"KGFZD-135-20-03","funder_id":"https://openalex.org/F4320321133","funder_display_name":"Chinese Academy of Sciences"},{"id":"https://openalex.org/G54443744","display_name":null,"funder_award_id":"XDA28050401","funder_id":"https://openalex.org/F4320321133","funder_display_name":"Chinese Academy of Sciences"},{"id":"https://openalex.org/G8507503739","display_name":null,"funder_award_id":"KGFZD-135-20-03-02","funder_id":"https://openalex.org/F4320321133","funder_display_name":"Chinese Academy of Sciences"}],"funders":[{"id":"https://openalex.org/F4320321133","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4381572513.pdf"},"referenced_works_count":65,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W2097117768","https://openalex.org/W2108598243","https://openalex.org/W2296151615","https://openalex.org/W2752782242","https://openalex.org/W2762941833","https://openalex.org/W2766527293","https://openalex.org/W2890833618","https://openalex.org/W2899434936","https://openalex.org/W2902930830","https://openalex.org/W2925392274","https://openalex.org/W2927933146","https://openalex.org/W2954996726","https://openalex.org/W2962749812","https://openalex.org/W2962928367","https://openalex.org/W2963306805","https://openalex.org/W2963981733","https://openalex.org/W2964231884","https://openalex.org/W2974373385","https://openalex.org/W2981413347","https://openalex.org/W2983427092","https://openalex.org/W2991751858","https://openalex.org/W2992240579","https://openalex.org/W3003301247","https://openalex.org/W3034552520","https://openalex.org/W3034971973","https://openalex.org/W3035502324","https://openalex.org/W3035574324","https://openalex.org/W3036479037","https://openalex.org/W3049857410","https://openalex.org/W3096831136","https://openalex.org/W3113299742","https://openalex.org/W3118552741","https://openalex.org/W3157501241","https://openalex.org/W3190676496","https://openalex.org/W3201797941","https://openalex.org/W4205213439","https://openalex.org/W4206487537","https://openalex.org/W4214666412","https://openalex.org/W4220953084","https://openalex.org/W4280544101","https://openalex.org/W4283455220","https://openalex.org/W4285981784","https://openalex.org/W4293824888","https://openalex.org/W4311789669","https://openalex.org/W4311791354","https://openalex.org/W4312356452","https://openalex.org/W4313245725","https://openalex.org/W4313362277","https://openalex.org/W4313461469","https://openalex.org/W4318499069","https://openalex.org/W4321608682","https://openalex.org/W4322502302","https://openalex.org/W4323044392","https://openalex.org/W4323314716","https://openalex.org/W4324052643","https://openalex.org/W4361009274","https://openalex.org/W4362588662","https://openalex.org/W6676297131","https://openalex.org/W6718379498","https://openalex.org/W6752378368","https://openalex.org/W6805576630","https://openalex.org/W6807008172","https://openalex.org/W6810332524","https://openalex.org/W6847823189"],"related_works":["https://openalex.org/W2354756786","https://openalex.org/W2782118220","https://openalex.org/W2617297150","https://openalex.org/W4300649747","https://openalex.org/W2980755761","https://openalex.org/W2962819541","https://openalex.org/W2574052219","https://openalex.org/W2887712106","https://openalex.org/W2946101226","https://openalex.org/W2045615005"],"abstract_inverted_index":{"A":[0],"rich":[1],"and":[2,15,18,44,48,111,218,245,251,264,288,306],"effective":[3,79],"dataset":[4,22,260],"is":[5,62,68,81,197],"an":[6],"important":[7],"foundation":[8],"for":[9,135],"the":[10,16,21,24,29,38,51,58,78,116,146,161,170,175,178,188,202,205,226,249,255,258,265,276,301,307,325],"development":[11],"of":[12,20,28,41,60,77,118,177,204,303,309,327,330],"AI":[13],"algorithms,":[14,122],"quantity":[17],"quality":[19,203],"determine":[23],"upper":[25],"limit":[26],"level":[27],"algorithms.":[30],"For":[31],"aerospace":[32],"remote":[33,103,136,183,207,331],"sensing":[34,104,137,184,208,332],"datasets,":[35,316],"due":[36],"to":[37,46,82,86,160,164,199,224,228],"high":[39],"cost":[40],"data":[42,89],"collection":[43],"susceptibility":[45],"meteorological":[47],"airway":[49],"conditions,":[50],"existing":[52,96,119],"datasets":[53,61,305],"have":[54],"two":[55,142],"problems:":[56],"firstly,":[57],"number":[59,302,308],"obviously":[63],"insufficient,":[64],"and,":[65],"secondly,":[66],"there":[67],"large":[69],"unevenness":[70],"between":[71],"different":[72],"categories":[73,313],"in":[74,101,169,182,222,236,247,279,311,314,324],"datasets.":[75],"One":[76],"solutions":[80],"use":[83],"neural":[84],"networks":[85],"generate":[87,283],"fake":[88],"by":[90,210,262,269,291,299],"learning":[91],"from":[92],"real":[93],"data,":[94],"but":[95],"methods":[97],"still":[98],"find":[99],"difficulty":[100],"generating":[102],"sample":[105,171,179,286],"images":[106,209,289],"with":[107],"good":[108],"texture":[109],"detail":[110],"geometric":[112,180],"distortion.":[113],"To":[114],"address":[115],"shortcomings":[117],"image":[120,138,185],"generation":[121],"this":[123,237,280,292],"paper":[124,238,281],"proposes":[125],"a":[126,149,191],"gradient":[127,151],"structure":[128,152,181],"information-guided":[129],"attention":[130,220],"generative":[131],"adversarial":[132],"network":[133,156,163],"(SGA-GAN)":[134],"generation,":[139],"which":[140,317],"contains":[141],"innovative":[143],"initiatives:":[144],"on":[145,187,257],"one":[147],"hand,":[148,190],"learnable":[150],"information":[153,168],"extraction":[154],"branch":[155],"can":[157,282,294,320],"be":[158,321],"added":[159],"generator":[162,227],"obtain":[165],"complex":[166],"structural":[167],"image,":[172],"thus":[173],"alleviating":[174],"distortion":[176],"generation;":[186],"other":[189,240],"multidimensional":[192],"self-attention":[193],"feature":[194],"selection":[195],"module":[196],"proposed":[198,235,278],"further":[200],"improve":[201,295],"generated":[206,290],"connecting":[211],"cross-attentive":[212],"modules":[213,221],"as":[214,216,243],"well":[215],"spatial":[217],"channel":[219],"series":[223],"guide":[225],"better":[229],"utilize":[230],"global":[231],"information.":[232],"The":[233,271],"algorithm":[234],"outperformed":[239],"methods,":[241],"such":[242],"StyleGAN-XL":[244],"FastGAN,":[246],"both":[248],"qualitative":[250],"quantitative":[252],"evaluation,":[253],"whereby":[254],"FID":[256],"DOTA":[259],"decreased":[261],"23.927":[263],"IS":[266],"was":[267],"improved":[268],"2.351.":[270],"comparison":[272],"experiments":[273],"show":[274],"that":[275],"method":[277,293],"more":[284],"realistic":[285],"images,":[287],"object":[296],"detection":[297],"metrics":[298],"increasing":[300],"single-category":[304],"targets":[310],"fewer":[312],"multi-category":[315],"means":[318],"it":[319],"effectively":[322],"used":[323],"field":[326],"intelligent":[328],"processing":[329],"images.":[333]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
