{"id":"https://openalex.org/W4402261675","doi":"https://doi.org/10.1109/igarss53475.2024.10640440","title":"A Framework for Realistic Paired Dataset Generation for Deep Learning Based Restoration of Satellite Images","display_name":"A Framework for Realistic Paired Dataset Generation for Deep Learning Based Restoration of Satellite Images","publication_year":2024,"publication_date":"2024-07-07","ids":{"openalex":"https://openalex.org/W4402261675","doi":"https://doi.org/10.1109/igarss53475.2024.10640440"},"language":"en","primary_location":{"id":"doi:10.1109/igarss53475.2024.10640440","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss53475.2024.10640440","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102003565","display_name":"Ashutosh Gupta","orcid":"https://orcid.org/0009-0004-2923-0851"},"institutions":[{"id":"https://openalex.org/I1289461252","display_name":"Indian Space Research Organisation","ror":"https://ror.org/00cwrns71","country_code":"IN","type":"government","lineage":["https://openalex.org/I1289461252","https://openalex.org/I3148377317"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ashutosh Gupta","raw_affiliation_strings":["Signal and Image Processing Area Space Applications Centre (SAC) ISRO,Ahmedabad"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Signal and Image Processing Area Space Applications Centre (SAC) ISRO,Ahmedabad","institution_ids":["https://openalex.org/I1289461252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045793392","display_name":"Subhajit Paul","orcid":"https://orcid.org/0009-0005-1118-6992"},"institutions":[{"id":"https://openalex.org/I1289461252","display_name":"Indian Space Research Organisation","ror":"https://ror.org/00cwrns71","country_code":"IN","type":"government","lineage":["https://openalex.org/I1289461252","https://openalex.org/I3148377317"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Subhajit Paul","raw_affiliation_strings":["Signal and Image Processing Area Space Applications Centre (SAC) ISRO,Ahmedabad"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Signal and Image Processing Area Space Applications Centre (SAC) ISRO,Ahmedabad","institution_ids":["https://openalex.org/I1289461252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009865031","display_name":"Arghya Bhattacharya","orcid":"https://orcid.org/0000-0002-0557-4340"},"institutions":[{"id":"https://openalex.org/I876193797","display_name":"Vellore Institute of Technology University","ror":"https://ror.org/00qzypv28","country_code":"IN","type":"education","lineage":["https://openalex.org/I876193797"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Arghya Bhattacharya","raw_affiliation_strings":["Vellore Institute of Tech.,Dept. of Computer Science,Chennai"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Vellore Institute of Tech.,Dept. of Computer Science,Chennai","institution_ids":["https://openalex.org/I876193797"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5107955612","display_name":"Prachi Jain","orcid":null},"institutions":[{"id":"https://openalex.org/I70764227","display_name":"Indus University","ror":"https://ror.org/03ehk1n67","country_code":"IN","type":"education","lineage":["https://openalex.org/I70764227"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Prachi Jain","raw_affiliation_strings":["Indus University,Dept. of Computer Science,Ahmedabad"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indus University,Dept. of Computer Science,Ahmedabad","institution_ids":["https://openalex.org/I70764227"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8749,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.74789292,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"6997","last_page":"7002"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9993000030517578,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9993000030517578,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9979000091552734,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9962999820709229,"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":0.7162390947341919},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.6998591423034668},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5975585579872131},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5587427616119385},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.41854745149612427},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.1650928556919098},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09936079382896423},{"id":"https://openalex.org/keywords/aerospace-engineering","display_name":"Aerospace engineering","score":0.06126651167869568}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7162390947341919},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.6998591423034668},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5975585579872131},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5587427616119385},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.41854745149612427},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.1650928556919098},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09936079382896423},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.06126651167869568}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss53475.2024.10640440","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss53475.2024.10640440","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.5699999928474426,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320330980","display_name":"National Remote Sensing Centre","ror":"https://ror.org/0491y3t26"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1890992994","https://openalex.org/W1987075379","https://openalex.org/W1996726072","https://openalex.org/W2013121852","https://openalex.org/W2022197807","https://openalex.org/W2046331708","https://openalex.org/W2047123483","https://openalex.org/W2056370875","https://openalex.org/W2059985458","https://openalex.org/W2085420208","https://openalex.org/W2097073572","https://openalex.org/W2099244020","https://openalex.org/W2111752896","https://openalex.org/W2133269072","https://openalex.org/W2138204001","https://openalex.org/W2141954338","https://openalex.org/W2476868371","https://openalex.org/W2624120837","https://openalex.org/W2753754894","https://openalex.org/W2811199523","https://openalex.org/W2883181864","https://openalex.org/W2963073614","https://openalex.org/W2980480982","https://openalex.org/W3211474784","https://openalex.org/W3216943312","https://openalex.org/W4225672218","https://openalex.org/W4298289240","https://openalex.org/W4310990367","https://openalex.org/W6637568146","https://openalex.org/W6729966448","https://openalex.org/W6739519504","https://openalex.org/W6803518762"],"related_works":["https://openalex.org/W2731899572","https://openalex.org/W3215138031","https://openalex.org/W3009238340","https://openalex.org/W4321369474","https://openalex.org/W2013329914","https://openalex.org/W4360585206","https://openalex.org/W2392383081","https://openalex.org/W4285208911","https://openalex.org/W3082895349","https://openalex.org/W4213079790"],"abstract_inverted_index":{"Satellite":[0],"images":[1,51,111,152,172],"suffer":[2],"from":[3,107],"inevitable":[4],"degradations":[5],"such":[6,40],"as":[7,41,118,161,163],"blur,":[8],"noise,":[9],"and":[10,115,170],"other":[11],"artifacts":[12],"making":[13],"them":[14],"less":[15],"suitable":[16],"for":[17,55,68,99,121,142,153,188,192],"final":[18],"applications":[19],"unless":[20],"they":[21],"are":[22,158],"restored":[23],"using":[24,166],"processing":[25],"techniques.":[26],"Modern":[27],"methods":[28],"based":[29],"on":[30,150],"deep":[31,100,139],"learning":[32,140],"have":[33],"achieved":[34],"impressive":[35,147],"results":[36,149,165],"in":[37,46],"key":[38],"tasks":[39],"deblurring,":[42],"denoising,":[43],"super-resolution,":[44],"etc.":[45],"the":[47,63,122],"domain":[48],"of":[49,65,110,183],"terrestrial":[50],"but":[52],"their":[53],"applicability":[54],"satellite":[56,151,193],"image":[57,194],"restoration":[58,148],"remains":[59],"limited":[60],"due":[61],"to":[62,78,94,129,136,145],"unavailability":[64],"paired":[66,97,103,156],"datasets":[67,144,157],"supervised":[69],"learning.":[70,101],"In":[71],"this":[72,80],"work,":[73],"we":[74],"propose":[75],"a":[76,84,96,108,119,178,185],"framework":[77],"address":[79],"problem":[81],"by":[82],"utilizing":[83,189],"Generative":[85],"Adversarial":[86],"Network":[87],"along":[88],"with":[89,112],"conventional":[90],"degradation":[91],"estimation":[92],"techniques":[93],"generate":[95],"dataset":[98,104,187],"The":[102],"is":[105,134,177],"generated":[106],"set":[109],"desirable":[113],"characteristics":[114],"hence":[116],"acts":[117],"surrogate":[120],"actual":[123],"clean":[124],"data.":[125],"We":[126],"perform":[127],"experiments":[128],"demonstrate":[130],"that":[131,174],"our":[132,175],"strategy":[133,176],"able":[135],"employ":[137],"recent":[138],"models":[141],"standard":[143],"achieve":[146],"which":[154],"no":[155],"available.":[159],"Visual":[160],"well":[162],"quantitative":[164],"30":[167],"cm":[168],"Worldview-3":[169],"Cartosat-3":[171],"show":[173],"simple,":[179],"yet":[180],"effective":[181],"way":[182],"generating":[184],"realistic":[186],"deep-learning":[190],"solutions":[191],"restoration.":[195]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
