{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,13]],"date-time":"2026-06-13T16:57:10Z","timestamp":1781369830564,"version":"3.54.1"},"reference-count":50,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"name":"Brazilian Air Force"},{"name":"Brazilian Agencies National Council for Scientific and Technological Development"},{"name":"Ministry of Science, Technology and Innovation"},{"DOI":"10.13039\/501100018891","name":"Swedish-Brazilian Research and Innovation Centre (CISB), Saab AB","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100018891","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002322","name":"Coordination for the Improvement of Higher Education Personnel","doi-asserted-by":"crossref","award":["Finance Code 001 (Pro-Defesa IV)"],"award-info":[{"award-number":["Finance Code 001 (Pro-Defesa IV)"]}],"id":[{"id":"10.13039\/501100002322","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100001807","name":"S\u00e3o Paulo Research Foundation","doi-asserted-by":"crossref","award":["2020\/09838-0"],"award-info":[{"award-number":["2020\/09838-0"]}],"id":[{"id":"10.13039\/501100001807","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2023]]},"DOI":"10.1109\/access.2023.3343910","type":"journal-article","created":{"date-parts":[[2023,12,18]],"date-time":"2023-12-18T19:49:47Z","timestamp":1702928987000},"page":"143369-143386","source":"Crossref","is-referenced-by-count":13,"title":["Synthetic SAR Data Generator Using Pix2pix cGAN Architecture for Automatic Target Recognition"],"prefix":"10.1109","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1115-5097","authenticated-orcid":false,"given":"Gustavo F.","family":"Araujo","sequence":"first","affiliation":[{"name":"Aeronautics Institute of Technology (ITA), São José dos Campos, Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Renato","family":"Machado","sequence":"additional","affiliation":[{"name":"Aeronautics Institute of Technology (ITA), São José dos Campos, Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6643-312X","authenticated-orcid":false,"given":"Mats I.","family":"Pettersson","sequence":"additional","affiliation":[{"name":"Blekinge Institute of Technology (BTH), Karlskrona, Sweden"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/mgrs.2013.2248301"},{"key":"ref2","volume-title":"Digital Processing of Synthetic Aperture Radar Data","volume":"1","author":"Cumming","year":"2005"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1049\/PBRA033E"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/access.2016.2611492"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1117\/12.321859"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1117\/12.2523460"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/radarconf2351548.2023.10149587"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1037\/h0042519"},{"key":"ref9","volume-title":"Deep Learning for Dummies","author":"Mueller","year":"2019"},{"key":"ref10","first-page":"396","volume-title":"Handwritten Digit Recognition With a Back-Propagation Network","author":"Cun","year":"1990"},{"key":"ref11","volume-title":"Deep Learning","author":"Goodfellow","year":"2016"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/msp.2012.2211477"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr.2017.632"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/lgrs.2017.2699196"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1117\/12.2301387"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/igarss.2019.8900494"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/piers-fall48861.2019.9021403"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/access.2019.2948404"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/jsen.2019.2915379"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/igarss39084.2020.9323439"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/jstars.2020.3039235"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/access.2021.3064362"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.3390\/rs13040596"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.3390\/rs13183554"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.3390\/rs13193939"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.3390\/rs13214358"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/lgrs.2021.3065682"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/lgrs.2021.3079418"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/lgrs.2021.3100642"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/igarss.2018.8519215"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.3390\/ijgi7100389"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.3390\/rs10121926"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/lgrs.2018.2868704"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/radar41533.2019.171345"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/sensors43011.2019.8956702"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.3390\/rs11050512"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/lgrs.2019.2894734"},{"key":"ref38","first-page":"101","article-title":"A CGAN-based FOPEN target detection method for bi-frequency SAR","volume-title":"Proc. Int. Conf. Image, Video Process. Artif. Intell.","author":"Daquan"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/access.2020.2977103"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/igarss39084.2020.9323235"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/igarss39084.2020.9324296"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/wacv45572.2020.9093471"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.3390\/rs13245055"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/lgrs.2020.3031199"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.3390\/rs14010144"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2021.108208"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/jstars.2022.3218369"},{"key":"ref48","article-title":"Unsupervised representation learning with deep convolutional generative adversarial networks","author":"Radford","year":"2015","journal-title":"arXiv:1511.06434"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.3390\/s22031293"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/10005208\/10363188.pdf?arnumber=10363188","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,12]],"date-time":"2024-01-12T20:28:02Z","timestamp":1705091282000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10363188\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"references-count":50,"URL":"https:\/\/doi.org\/10.1109\/access.2023.3343910","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]}}}