{"id":"https://openalex.org/W4313270759","doi":"https://doi.org/10.1109/tgrs.2022.3233099","title":"Blind Superresolution of Satellite Videos by Ghost Module-Based Convolutional Networks","display_name":"Blind Superresolution of Satellite Videos by Ghost Module-Based Convolutional Networks","publication_year":2022,"publication_date":"2022-12-29","ids":{"openalex":"https://openalex.org/W4313270759","doi":"https://doi.org/10.1109/tgrs.2022.3233099"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2022.3233099","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2022.3233099","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Transactions on Geoscience and Remote Sensing","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/A5028584961","display_name":"Zhi He","orcid":"https://orcid.org/0000-0001-9568-7076"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]},{"id":"https://openalex.org/I4210106122","display_name":"Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou)","ror":"https://ror.org/00y7mag53","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210106122"]},{"id":"https://openalex.org/I4391012567","display_name":"Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai)","ror":"https://ror.org/03swgqh13","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4391012567"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhi He","raw_affiliation_strings":["Guangdong Provincial Key Laboratory of Urbanization and Geo-Simulation, School of Geography and Planning, Sun Yat-sen University, Guangzhou, China","Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, China"],"raw_orcid":"https://orcid.org/0000-0001-9568-7076","affiliations":[{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of Urbanization and Geo-Simulation, School of Geography and Planning, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, China","institution_ids":["https://openalex.org/I4210106122","https://openalex.org/I4391012567"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102850701","display_name":"Dan He","orcid":"https://orcid.org/0000-0001-9385-8118"},"institutions":[{"id":"https://openalex.org/I111950717","display_name":"Macau University of Science and Technology","ror":"https://ror.org/03jqs2n27","country_code":"MO","type":"education","lineage":["https://openalex.org/I111950717","https://openalex.org/I4391767947"]},{"id":"https://openalex.org/I4210124427","display_name":"City College of Dongguan University of Technology","ror":"https://ror.org/02vdh2x09","country_code":"CN","type":"education","lineage":["https://openalex.org/I2799850029","https://openalex.org/I4210124427"]}],"countries":["CN","MO"],"is_corresponding":false,"raw_author_name":"Dan He","raw_affiliation_strings":["School of Artificial Intelligence, Dongguan City University, Dongguan, China","School of Computer Science and Engineering, Faculty of Innovation Engineering, Macau University of Science and Technology, Macau, China"],"raw_orcid":"https://orcid.org/0000-0001-9385-8118","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Dongguan City University, Dongguan, China","institution_ids":["https://openalex.org/I4210124427"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Faculty of Innovation Engineering, Macau University of Science and Technology, Macau, China","institution_ids":["https://openalex.org/I111950717"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100362427","display_name":"Xiaofang Li","orcid":"https://orcid.org/0000-0001-9455-7261"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaofang Li","raw_affiliation_strings":["Department of Mathematics, Harbin Institute of Technology, Weihai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics, Harbin Institute of Technology, Weihai, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016971362","display_name":"Rongning Qu","orcid":null},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rongning Qu","raw_affiliation_strings":["Department of Mathematics, Harbin Institute of Technology, Weihai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics, Harbin Institute of Technology, Weihai, China","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2195,"currency":"USD","value_usd":2195},"apc_paid":null,"fwci":0.58,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.64777899,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"61","issue":null,"first_page":"1","last_page":"19"},"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9937000274658203,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9921000003814697,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7891401052474976},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7799626588821411},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7455869317054749},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.7424944639205933},{"id":"https://openalex.org/keywords/motion-blur","display_name":"Motion blur","score":0.6591399312019348},{"id":"https://openalex.org/keywords/superresolution","display_name":"Superresolution","score":0.5588635802268982},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.5455313920974731},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.5372011661529541},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.520537257194519},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.483636736869812},{"id":"https://openalex.org/keywords/kernel-density-estimation","display_name":"Kernel density estimation","score":0.4241466522216797},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.34211528301239014},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.27065810561180115},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14765188097953796},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.1148349940776825}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7891401052474976},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7799626588821411},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7455869317054749},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.7424944639205933},{"id":"https://openalex.org/C2777708103","wikidata":"https://www.wikidata.org/wiki/Q852589","display_name":"Motion blur","level":3,"score":0.6591399312019348},{"id":"https://openalex.org/C141239990","wikidata":"https://www.wikidata.org/wiki/Q957423","display_name":"Superresolution","level":3,"score":0.5588635802268982},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.5455313920974731},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.5372011661529541},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.520537257194519},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.483636736869812},{"id":"https://openalex.org/C71134354","wikidata":"https://www.wikidata.org/wiki/Q458825","display_name":"Kernel density estimation","level":3,"score":0.4241466522216797},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.34211528301239014},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.27065810561180115},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14765188097953796},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.1148349940776825},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2022.3233099","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2022.3233099","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7400000095367432,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G4700328094","display_name":null,"funder_award_id":"2020YFA0714103","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G514645105","display_name":null,"funder_award_id":"42271325","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5869114339","display_name":null,"funder_award_id":"2019A1515011877","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320337111","display_name":"Basic and Applied Basic Research Foundation of Guangdong Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":68,"referenced_works":["https://openalex.org/W1885185971","https://openalex.org/W1913633284","https://openalex.org/W1984206673","https://openalex.org/W2010981316","https://openalex.org/W2044011870","https://openalex.org/W2054733829","https://openalex.org/W2060051465","https://openalex.org/W2067042811","https://openalex.org/W2117998419","https://openalex.org/W2139182243","https://openalex.org/W2194775991","https://openalex.org/W2242218935","https://openalex.org/W2379948024","https://openalex.org/W2522520073","https://openalex.org/W2548879274","https://openalex.org/W2752782242","https://openalex.org/W2754213847","https://openalex.org/W2761781479","https://openalex.org/W2767850900","https://openalex.org/W2774112877","https://openalex.org/W2796901798","https://openalex.org/W2890330644","https://openalex.org/W2898832590","https://openalex.org/W2927933146","https://openalex.org/W2952773607","https://openalex.org/W2954930822","https://openalex.org/W2960914750","https://openalex.org/W2963125010","https://openalex.org/W2963372104","https://openalex.org/W2963470893","https://openalex.org/W2963729050","https://openalex.org/W2963782415","https://openalex.org/W2970835139","https://openalex.org/W2982221123","https://openalex.org/W2985414621","https://openalex.org/W3005521100","https://openalex.org/W3013529009","https://openalex.org/W3013561250","https://openalex.org/W3016659917","https://openalex.org/W3022107227","https://openalex.org/W3035302306","https://openalex.org/W3035414587","https://openalex.org/W3039108209","https://openalex.org/W3042008420","https://openalex.org/W3046379640","https://openalex.org/W3083260893","https://openalex.org/W3088734486","https://openalex.org/W3103635814","https://openalex.org/W3109870583","https://openalex.org/W3113301362","https://openalex.org/W3122817280","https://openalex.org/W3130130921","https://openalex.org/W3130964203","https://openalex.org/W3138451465","https://openalex.org/W3159705002","https://openalex.org/W3168080945","https://openalex.org/W3170638357","https://openalex.org/W3177052299","https://openalex.org/W3187716398","https://openalex.org/W3198884575","https://openalex.org/W4214768308","https://openalex.org/W4252227190","https://openalex.org/W4288107876","https://openalex.org/W4289752563","https://openalex.org/W4297775537","https://openalex.org/W6737664043","https://openalex.org/W6767785265","https://openalex.org/W6774660363"],"related_works":["https://openalex.org/W2809398103","https://openalex.org/W2189446904","https://openalex.org/W2147326311","https://openalex.org/W1610044448","https://openalex.org/W2111547392","https://openalex.org/W2564723179","https://openalex.org/W2044945560","https://openalex.org/W2090494576","https://openalex.org/W1977427710","https://openalex.org/W2047817775"],"abstract_inverted_index":{"Deep":[0],"learning":[1],"(DL)-based":[2],"video":[3,79,114],"satellite":[4,51,73,190],"superresolution":[5],"(SR)":[6],"methods":[7,16,24],"have":[8],"recently":[9],"yielded":[10],"superior":[11,204],"performance":[12,198],"over":[13],"traditional":[14],"model-based":[15],"by":[17,122,134,147],"using":[18],"an":[19,123],"end-to-end":[20],"manner.":[21],"Existing":[22],"DL-based":[23],"usually":[25],"assume":[26],"that":[27,85,193],"the":[28,38,86,97,103,109,117,128,141,174,179,194],"blur":[29,39,87,129,136,150],"kernels":[30,40],"are":[31,120],"known":[32],"and,":[33],"thus,":[34],"do":[35],"not":[36],"model":[37,68],"during":[41],"restoration.":[42],"However,":[43],"this":[44,59],"assumption":[45],"is":[46,89,131,145,168,203],"rarely":[47],"held":[48],"for":[49,69],"real":[50],"videos":[52,191],"and":[53,102,116,140,152,177,188,196],"leads":[54],"to":[55,170,205],"oversmoothed":[56],"results.":[57,183],"In":[58],"article,":[60],"we":[61],"propose":[62],"a":[63,135,156],"Ghost":[64,77,165],"module-based":[65,78],"convolution":[66],"network":[67,158],"blind":[70],"SR":[71,80,104,182],"of":[72,92,160,199],"videos.":[74],"The":[75],"proposed":[76,201],"(GVSR)":[81],"method,":[82],"which":[83],"assumes":[84],"kernel":[88,130,137,151],"unknown,":[90],"consists":[91],"two":[93],"main":[94],"modules,":[95],"i.e.,":[96],"preliminary":[98,142,175],"image":[99,144,176],"generation":[100],"module":[101],"results\u2019":[105],"reconstruction":[106,157],"module.":[107],"First,":[108],"motion":[110],"information":[111],"from":[112],"adjacent":[113],"frames":[115],"wrapped":[118,153],"images":[119],"explored":[121],"optical":[124],"flow":[125],"estimation":[126,138],"network,":[127,139],"flexibly":[132],"obtained":[133],"high-resolution":[143],"generated":[146],"feeding":[148],"both":[149],"images.":[154],"Second,":[155],"consisting":[159],"three":[161],"paths":[162],"with":[163],"attention-based":[164],"(AG)":[166],"bottlenecks":[167],"designed":[169],"remove":[171],"artifacts":[172],"in":[173],"obtain":[178],"final":[180],"high-quality":[181],"Experiments":[184],"conducted":[185],"on":[186],"Jilin-1":[187],"OVS-1":[189],"demonstrate":[192],"qualitative":[195],"quantitative":[197],"our":[200],"method":[202],"current":[206],"state-of-the-art":[207],"methods.":[208]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1}],"updated_date":"2026-08-28T12:50:07.497085","created_date":"2025-10-10T00:00:00"}