{"id":"https://openalex.org/W4365800965","doi":"https://doi.org/10.1109/lgrs.2023.3266325","title":"DBSAGAN: Dual Branch Split Attention Generative Adversarial Network for Super-Resolution Reconstruction in Remote Sensing Images","display_name":"DBSAGAN: Dual Branch Split Attention Generative Adversarial Network for Super-Resolution Reconstruction in Remote Sensing Images","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4365800965","doi":"https://doi.org/10.1109/lgrs.2023.3266325"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2023.3266325","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2023.3266325","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Geoscience and Remote Sensing Letters","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5084090211","display_name":"Yu Song","orcid":"https://orcid.org/0000-0002-1848-263X"},"institutions":[{"id":"https://openalex.org/I4210092591","display_name":"China Centre for Resources Satellite Data and Application","ror":"https://ror.org/00ft0fw96","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210092591"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Song","raw_affiliation_strings":["Satellite Ground Systems Department, China Centre for Resources Satellite Data and Application, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-1848-263X","affiliations":[{"raw_affiliation_string":"Satellite Ground Systems Department, China Centre for Resources Satellite Data and Application, Beijing, China","institution_ids":["https://openalex.org/I4210092591"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107951983","display_name":"Jianwei Li","orcid":"https://orcid.org/0000-0003-0194-7792"},"institutions":[{"id":"https://openalex.org/I4210092591","display_name":"China Centre for Resources Satellite Data and Application","ror":"https://ror.org/00ft0fw96","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210092591"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianwei Li","raw_affiliation_strings":["Satellite Ground Systems Department, China Centre for Resources Satellite Data and Application, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Satellite Ground Systems Department, China Centre for Resources Satellite Data and Application, Beijing, China","institution_ids":["https://openalex.org/I4210092591"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084487886","display_name":"Zhongzheng Hu","orcid":"https://orcid.org/0000-0001-9636-1692"},"institutions":[{"id":"https://openalex.org/I4210092591","display_name":"China Centre for Resources Satellite Data and Application","ror":"https://ror.org/00ft0fw96","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210092591"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongzheng Hu","raw_affiliation_strings":["Satellite Ground Systems Department, China Centre for Resources Satellite Data and Application, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-9636-1692","affiliations":[{"raw_affiliation_string":"Satellite Ground Systems Department, China Centre for Resources Satellite Data and Application, Beijing, China","institution_ids":["https://openalex.org/I4210092591"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027963322","display_name":"Liangxiao Cheng","orcid":null},"institutions":[{"id":"https://openalex.org/I4210092591","display_name":"China Centre for Resources Satellite Data and Application","ror":"https://ror.org/00ft0fw96","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210092591"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liangxiao Cheng","raw_affiliation_strings":["Satellite Ground Systems Department, China Centre for Resources Satellite Data and Application, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Satellite Ground Systems Department, China Centre for Resources Satellite Data and Application, Beijing, China","institution_ids":["https://openalex.org/I4210092591"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210092591"],"apc_list":null,"apc_paid":null,"fwci":1.3827,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.83096222,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"20","issue":null,"first_page":"1","last_page":"5"},"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9945999979972839,"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":0.9930999875068665,"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":0.8059005737304688},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.6957199573516846},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.6885555386543274},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6010695695877075},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.5391829609870911},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.5001609325408936},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.4913856089115143},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.48639896512031555},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.47815999388694763},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3902851939201355},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.38956084847450256},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.08573907613754272}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8059005737304688},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.6957199573516846},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.6885555386543274},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6010695695877075},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.5391829609870911},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.5001609325408936},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.4913856089115143},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.48639896512031555},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.47815999388694763},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3902851939201355},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.38956084847450256},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08573907613754272},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","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/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2023.3266325","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2023.3266325","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Geoscience and Remote Sensing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W2104599718","https://openalex.org/W2891158090","https://openalex.org/W2896365540","https://openalex.org/W2962785568","https://openalex.org/W2963470893","https://openalex.org/W3035687950","https://openalex.org/W3136101383","https://openalex.org/W3155072588","https://openalex.org/W3157854950","https://openalex.org/W3203073224","https://openalex.org/W3203605797","https://openalex.org/W3204971388","https://openalex.org/W3205004111","https://openalex.org/W4287020683","https://openalex.org/W4298005622","https://openalex.org/W6727340567","https://openalex.org/W6754405603","https://openalex.org/W6792846163","https://openalex.org/W6794295345"],"related_works":["https://openalex.org/W4386984417","https://openalex.org/W2476099471","https://openalex.org/W2888032422","https://openalex.org/W2996316059","https://openalex.org/W4385421777","https://openalex.org/W3178813832","https://openalex.org/W4377980832","https://openalex.org/W3005996785","https://openalex.org/W2897769091","https://openalex.org/W2971552217"],"abstract_inverted_index":{"Super-resolution":[0],"reconstruction":[1],"methods":[2,145],"emerge":[3],"in":[4,90,100],"an":[5],"endless":[6],"stream,":[7],"but":[8],"the":[9,75,86,91,101,106,110,114,117,123,134,139,147],"models":[10,45],"proposed":[11,76,140],"by":[12],"many":[13],"researchers":[14],"are":[15],"not":[16],"fit":[17],"for":[18,67],"certain":[19],"types":[20],"of":[21,109],"images,":[22],"such":[23],"as":[24,85],"remote":[25,31,47,71,149],"sensing":[26,32,48,72,150],"images.":[27,73],"This":[28],"is":[29],"because":[30],"images":[33,49,121],"have":[34],"rich":[35],"texture":[36],"details":[37],"and":[38,119],"geometrical":[39],"structures.":[40],"Therefore,":[41],"directly":[42],"applying":[43],"previous":[44],"to":[46,104,132],"generates":[50],"unsatisfactory":[51],"artifacts.":[52],"In":[53,93],"this":[54],"letter,":[55],"we":[56,95,126],"propose":[57],"a":[58,79],"dual":[59,80],"branch":[60,81],"split":[61,82],"attention":[62,83],"generative":[63,107],"adversarial":[64],"network":[65,141],"(DBSAGAN)":[66],"super-resolution":[68],"tasks":[69],"on":[70,146],"Specifically,":[74],"DBSAGAN":[77],"adopts":[78],"group":[84],"cascading":[87],"basic":[88,102],"unit":[89,103],"generator.":[92],"addition,":[94],"remove":[96],"batch":[97],"normalization":[98],"layers":[99],"improve":[105],"ability":[108],"network.":[111,135],"To":[112],"reduce":[113],"gap":[115],"between":[116],"reconstructed":[118],"original":[120],"from":[122],"frequency":[124,130],"domain,":[125],"innovatively":[127],"use":[128],"focal":[129],"loss":[131],"constrain":[133],"Experiments":[136],"demonstrate":[137],"that":[138],"outperforms":[142],"existing":[143],"state-of-the-art":[144],"Gaofen-1":[148],"image":[151],"dataset.":[152]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
