{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,21]],"date-time":"2026-02-21T14:55:39Z","timestamp":1771685739874,"version":"3.50.1"},"reference-count":37,"publisher":"MDPI AG","issue":"5","license":[{"start":{"date-parts":[[2025,4,30]],"date-time":"2025-04-30T00:00:00Z","timestamp":1745971200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"National Natural Science Foundations of China","award":["62461034"],"award-info":[{"award-number":["62461034"]}]},{"name":"National Natural Science Foundations of China","award":["62061026"],"award-info":[{"award-number":["62061026"]}]},{"name":"National Natural Science Foundations of China","award":["24YFGM001"],"award-info":[{"award-number":["24YFGM001"]}]},{"name":"National Natural Science Foundations of China","award":["QY-STK-2023A-058"],"award-info":[{"award-number":["QY-STK-2023A-058"]}]},{"name":"Science and Technology Program of Gansu Province of China","award":["62461034"],"award-info":[{"award-number":["62461034"]}]},{"name":"Science and Technology Program of Gansu Province of China","award":["62061026"],"award-info":[{"award-number":["62061026"]}]},{"name":"Science and Technology Program of Gansu Province of China","award":["24YFGM001"],"award-info":[{"award-number":["24YFGM001"]}]},{"name":"Science and Technology Program of Gansu Province of China","award":["QY-STK-2023A-058"],"award-info":[{"award-number":["QY-STK-2023A-058"]}]},{"name":"Science and Technology Program of Qingyang of China","award":["62461034"],"award-info":[{"award-number":["62461034"]}]},{"name":"Science and Technology Program of Qingyang of China","award":["62061026"],"award-info":[{"award-number":["62061026"]}]},{"name":"Science and Technology Program of Qingyang of China","award":["24YFGM001"],"award-info":[{"award-number":["24YFGM001"]}]},{"name":"Science and Technology Program of Qingyang of China","award":["QY-STK-2023A-058"],"award-info":[{"award-number":["QY-STK-2023A-058"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Information"],"abstract":"<jats:p>This paper presents a novel method for the super-resolution reconstruction and generation of synthetic aperture radar (SAR) images with an improved single-image generative adversarial network (ISinGAN). Unlike traditional machine learning methods typically requiring large datasets, SinGAN needs only a single input image to extract internal structural details and generate high-quality samples. To improve this framework further, we introduced SinGAN with a self-attention module and incorporated noise specific to SAR images. These enhancements ensure that the generated images are more aligned with real-world SAR scenarios while also improving the robustness of the SinGAN framework. Experimental results demonstrate that ISinGAN significantly enhances SAR image resolution and target recognition performance.<\/jats:p>","DOI":"10.3390\/info16050370","type":"journal-article","created":{"date-parts":[[2025,5,1]],"date-time":"2025-05-01T09:16:12Z","timestamp":1746090972000},"page":"370","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Image Generation and Super-Resolution Reconstruction of Synthetic Aperture Radar Images Based on an Improved Single-Image Generative Adversarial Network"],"prefix":"10.3390","volume":"16","author":[{"given":"Xuguang","family":"Yang","sequence":"first","affiliation":[{"name":"School of Mathematics and Information Engineering, Longdong University, Qingyang 745000, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lixia","family":"Nie","sequence":"additional","affiliation":[{"name":"School of Mathematics and Information Engineering, Longdong University, Qingyang 745000, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yun","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Electronic Information Engineering, Harbin Institute of Technology, Harbin 150001, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ling","family":"Zhang","sequence":"additional","affiliation":[{"name":"College of Engineering, Ocean University of China, Qingdao 266100, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2025,4,30]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"3868","DOI":"10.1109\/TGRS.2012.2186637","article-title":"Optimum SAR\/GMTI Processing and Its Application to the Radar Satellite RADARSAT-2 for Traffic Monitoring","volume":"50","author":"Sikaneta","year":"2012","journal-title":"IEEE Trans. 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