{"id":"https://openalex.org/W4392025650","doi":"https://doi.org/10.1109/aipr60534.2023.10440718","title":"A multifaceted benchmarking of GAN architectures on generating synthetic satellite imagery","display_name":"A multifaceted benchmarking of GAN architectures on generating synthetic satellite imagery","publication_year":2023,"publication_date":"2023-09-27","ids":{"openalex":"https://openalex.org/W4392025650","doi":"https://doi.org/10.1109/aipr60534.2023.10440718"},"language":"en","primary_location":{"id":"doi:10.1109/aipr60534.2023.10440718","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aipr60534.2023.10440718","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5064537633","display_name":"Kevin Wells","orcid":"https://orcid.org/0000-0002-4658-8060"},"institutions":[{"id":"https://openalex.org/I4402554118","display_name":"Taylor Geospatial Institute","ror":"https://ror.org/0573j3j10","country_code":"US","type":"facility","lineage":["https://openalex.org/I4402554118"]},{"id":"https://openalex.org/I47838141","display_name":"Saint Louis University","ror":"https://ror.org/01p7jjy08","country_code":"US","type":"education","lineage":["https://openalex.org/I47838141"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kevin Wells","raw_affiliation_strings":["Taylor Geospatial Institute,St. Louis,MO,USA","Department of Earth and Atmospheric Sciences, Saint Louis University, St. Louis, MO, USA","Taylor Geospatial Institute, St. Louis, MO, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Taylor Geospatial Institute,St. Louis,MO,USA","institution_ids":["https://openalex.org/I4402554118"]},{"raw_affiliation_string":"Department of Earth and Atmospheric Sciences, Saint Louis University, St. Louis, MO, USA","institution_ids":["https://openalex.org/I47838141"]},{"raw_affiliation_string":"Taylor Geospatial Institute, St. Louis, MO, USA","institution_ids":["https://openalex.org/I4402554118"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082078717","display_name":"Felipe A. Lopes","orcid":"https://orcid.org/0000-0003-2727-9390"},"institutions":[{"id":"https://openalex.org/I4210155484","display_name":"Instituto Federal de Educa\u00e7\u00e3o, Ci\u00eancia e Tecnologia de Alagoas","ror":"https://ror.org/040ys9e84","country_code":"BR","type":"education","lineage":["https://openalex.org/I4210155484"]},{"id":"https://openalex.org/I4402554118","display_name":"Taylor Geospatial Institute","ror":"https://ror.org/0573j3j10","country_code":"US","type":"facility","lineage":["https://openalex.org/I4402554118"]},{"id":"https://openalex.org/I47838141","display_name":"Saint Louis University","ror":"https://ror.org/01p7jjy08","country_code":"US","type":"education","lineage":["https://openalex.org/I47838141"]}],"countries":["BR","US"],"is_corresponding":false,"raw_author_name":"Felipe A. Lopes","raw_affiliation_strings":["Taylor Geospatial Institute,St. Louis,MO,USA","Department of Earth and Atmospheric Sciences, Saint Louis University, St. Louis, MO, USA","Federal Institute of Alagoas, Arapiraca, Brazil","Taylor Geospatial Institute, St. Louis, MO, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Taylor Geospatial Institute,St. Louis,MO,USA","institution_ids":["https://openalex.org/I4402554118"]},{"raw_affiliation_string":"Department of Earth and Atmospheric Sciences, Saint Louis University, St. Louis, MO, USA","institution_ids":["https://openalex.org/I47838141"]},{"raw_affiliation_string":"Federal Institute of Alagoas, Arapiraca, Brazil","institution_ids":["https://openalex.org/I4210155484"]},{"raw_affiliation_string":"Taylor Geospatial Institute, St. Louis, MO, USA","institution_ids":["https://openalex.org/I4402554118"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056753431","display_name":"Vasit Sagan","orcid":"https://orcid.org/0000-0003-4375-2096"},"institutions":[{"id":"https://openalex.org/I4402554118","display_name":"Taylor Geospatial Institute","ror":"https://ror.org/0573j3j10","country_code":"US","type":"facility","lineage":["https://openalex.org/I4402554118"]},{"id":"https://openalex.org/I47838141","display_name":"Saint Louis University","ror":"https://ror.org/01p7jjy08","country_code":"US","type":"education","lineage":["https://openalex.org/I47838141"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vasit Sagan","raw_affiliation_strings":["Taylor Geospatial Institute,St. Louis,MO,USA","Department of Computer Science, Saint Louis University, St. Louis, MO, USA","Department of Earth and Atmospheric Sciences, Saint Louis University, St. Louis, MO, USA","Taylor Geospatial Institute, St. Louis, MO, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Taylor Geospatial Institute,St. Louis,MO,USA","institution_ids":["https://openalex.org/I4402554118"]},{"raw_affiliation_string":"Department of Computer Science, Saint Louis University, St. Louis, MO, USA","institution_ids":["https://openalex.org/I47838141"]},{"raw_affiliation_string":"Department of Earth and Atmospheric Sciences, Saint Louis University, St. Louis, MO, USA","institution_ids":["https://openalex.org/I47838141"]},{"raw_affiliation_string":"Taylor Geospatial Institute, St. Louis, MO, USA","institution_ids":["https://openalex.org/I4402554118"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055238253","display_name":"Flavio Esposito","orcid":"https://orcid.org/0000-0002-7798-4584"},"institutions":[{"id":"https://openalex.org/I47838141","display_name":"Saint Louis University","ror":"https://ror.org/01p7jjy08","country_code":"US","type":"education","lineage":["https://openalex.org/I47838141"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Flavio Esposito","raw_affiliation_strings":["Saint Louis University,Department of Computer Science,St. Louis,MO,USA","Department of Computer Science, Saint Louis University, St. Louis, MO, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Saint Louis University,Department of Computer Science,St. Louis,MO,USA","institution_ids":["https://openalex.org/I47838141"]},{"raw_affiliation_string":"Department of Computer Science, Saint Louis University, St. Louis, MO, USA","institution_ids":["https://openalex.org/I47838141"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.4648,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.82791806,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12983","display_name":"Satellite Image Processing and Photogrammetry","score":0.9513000249862671,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"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/T12983","display_name":"Satellite Image Processing and Photogrammetry","score":0.9513000249862671,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"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/T11801","display_name":"Reservoir Engineering and Simulation Methods","score":0.9164999723434448,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9157000184059143,"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/benchmarking","display_name":"Benchmarking","score":0.8165119886398315},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6401318311691284},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.5533761382102966},{"id":"https://openalex.org/keywords/satellite-imagery","display_name":"Satellite imagery","score":0.4846561551094055},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.42335349321365356},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11679977178573608},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.11113214492797852},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.06086993217468262}],"concepts":[{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.8165119886398315},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6401318311691284},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.5533761382102966},{"id":"https://openalex.org/C2778102629","wikidata":"https://www.wikidata.org/wiki/Q725252","display_name":"Satellite imagery","level":2,"score":0.4846561551094055},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.42335349321365356},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11679977178573608},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.11113214492797852},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.06086993217468262},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/aipr60534.2023.10440718","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aipr60534.2023.10440718","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.44999998807907104}],"awards":[],"funders":[{"id":"https://openalex.org/F4320332183","display_name":"U.S. Geological Survey","ror":"https://ror.org/035a68863"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W2086320398","https://openalex.org/W2765811365","https://openalex.org/W2895067176","https://openalex.org/W2963684088","https://openalex.org/W2963800363","https://openalex.org/W3022664958","https://openalex.org/W3088527134","https://openalex.org/W3092747519","https://openalex.org/W3106914811","https://openalex.org/W3110877263","https://openalex.org/W3128607711","https://openalex.org/W3201409833","https://openalex.org/W4212774754","https://openalex.org/W4294643831","https://openalex.org/W4307887176","https://openalex.org/W4320013936","https://openalex.org/W4380885636","https://openalex.org/W6685352114","https://openalex.org/W6745560452","https://openalex.org/W6755312952","https://openalex.org/W6765779288","https://openalex.org/W6779669310","https://openalex.org/W6840425996","https://openalex.org/W6852874774"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W4238897586","https://openalex.org/W435179959","https://openalex.org/W2619091065","https://openalex.org/W2059640416","https://openalex.org/W2013329914","https://openalex.org/W2392383081","https://openalex.org/W1618102658"],"abstract_inverted_index":{"Machine":[0],"learning":[1],"models":[2],"require":[3],"a":[4,85,95,114,127,143,221],"large":[5],"labeled":[6,33],"dataset":[7,117],"to":[8,65,83,148,161,220],"build":[9],"robust":[10],"algorithms":[11],"that":[12,77,158,184],"can":[13,44],"be":[14,81,162],"generalized":[15],"over":[16],"various":[17,36],"classification":[18],"or":[19],"regression":[20,144],"applications.":[21],"Generative":[22],"adversarial":[23],"networks":[24],"(GANs)":[25],"have":[26],"demonstrated":[27],"their":[28,225],"effectiveness":[29],"in":[30,227],"generating":[31,169],"realistic":[32],"images":[34,69,120,183],"across":[35],"domains.":[37],"However,":[38],"the":[39,47,50,67,150,163,174],"choice":[40],"of":[41,49,89,121,152,224],"GAN":[42,72,90,103,166,196],"architecture":[43,167,197],"significantly":[45],"impact":[46],"suitability":[48],"generated":[51,70],"imagery":[52,112,201],"for":[53,110,168],"specific":[54],"tasks.":[55],"Although":[56],"there":[57],"are":[58],"quality":[59],"metrics":[60,79,136],"(e.g.,":[61],"Fr\u00e9chet":[62],"inception":[63],"distance)":[64],"evaluate":[66],"synthetic":[68,130,170,199],"from":[71,113],"models,":[73],"this":[74,228],"work":[75],"argues":[76],"such":[78,137],"should":[80],"combined":[82],"provide":[84],"fair":[86],"performance":[87],"comparison":[88,128],"models.":[91],"This":[92],"paper":[93],"presents":[94],"multifaceted":[96],"benchmark":[97],"methodology":[98,125],"and":[99,108,131,140,177,210,217],"compares":[100],"three":[101],"state-of-the-art":[102],"architectures,":[104],"i.e.,":[105],"DCGAN,":[106],"WGAN,":[107],"PRGAN,":[109],"synthesizing":[111],"widely-used":[115],"open":[116],"comprising":[118],"satellite":[119,171,188,200],"icebergs.":[122],"Our":[123,214],"evaluation":[124,215],"encompasses":[126],"between":[129],"real":[132,187],"images,":[133,189],"employing":[134],"probability":[135],"as":[138],"correlation":[139],"intersection.":[141],"Then,":[142],"analysis":[145],"was":[146],"performed":[147],"examine":[149],"fidelity":[151],"spectral":[153,208],"profiles.":[154],"The":[155],"findings":[156],"reveal":[157],"DCGAN":[159],"appears":[160],"most":[164],"effective":[165],"imagery,":[172],"considering":[173],"analyzed":[175],"architectures":[176],"dataset.":[178],"It":[179],"consistently":[180],"produced":[181],"reliable":[182],"closely":[185],"resemble":[186],"rendering":[190],"them":[191],"visually":[192],"indistinguishable.":[193],"Each":[194],"evaluated":[195],"generates":[198],"with":[202],"distinct":[203],"characteristics,":[204],"encompassing":[205],"varying":[206],"shapes,":[207],"profiles,":[209],"pixel":[211],"value":[212],"distributions.":[213],"approach":[216],"results":[218],"contribute":[219],"deeper":[222],"understanding":[223],"utility":[226],"context.":[229]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
