{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T01:02:24Z","timestamp":1760144544924,"version":"build-2065373602"},"reference-count":64,"publisher":"MDPI AG","issue":"9","license":[{"start":{"date-parts":[[2024,4,29]],"date-time":"2024-04-29T00:00:00Z","timestamp":1714348800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"the National Natural Science Foundation of China","award":["62073150","62227812","2021-JCJO-ZD-025-11","6B2B5347"],"award-info":[{"award-number":["62073150","62227812","2021-JCJO-ZD-025-11","6B2B5347"]}]},{"name":"the 173 Key Projects of Basic Research","award":["62073150","62227812","2021-JCJO-ZD-025-11","6B2B5347"],"award-info":[{"award-number":["62073150","62227812","2021-JCJO-ZD-025-11","6B2B5347"]}]},{"name":"pre-research project","award":["62073150","62227812","2021-JCJO-ZD-025-11","6B2B5347"],"award-info":[{"award-number":["62073150","62227812","2021-JCJO-ZD-025-11","6B2B5347"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Aircraft targets, as high-value subjects, are a focal point in Synthetic Aperture Radar (SAR) image interpretation. To tackle challenges like limited SAR aircraft datasets and shortcomings in existing detection algorithms (complexity, poor performance, weak generalization), we present the Feature Enhancement and Multi-Scales Fusion Network (FEMSFNet) for SAR aircraft detection. FEMSFNet employs diverse image augmentation and integrates optimized Squeeze-and-Excitation Networks (SE) with residual network (ResNet) in a SdE-Resblock structure for a lightweight yet accurate model. It introduces ssppf-CSP module, an improved pyramid pooling model, to prevent receptive field deviation in deep network training. Tailored for SAR aircraft detection, FEMSFNet optimizes loss functions, emphasizing both speed and accuracy. Evaluation on the SAR Aircraft Detection Dataset (SADD) demonstrates significant improvements compared to the contrasted algorithms: precision rate (92%), recall rate (96%), and F1 score (94%), with a maximum increase of 12.2% in precision, 12.9% in recall, and 13.3% in F1 score.<\/jats:p>","DOI":"10.3390\/rs16091589","type":"journal-article","created":{"date-parts":[[2024,4,30]],"date-time":"2024-04-30T04:01:52Z","timestamp":1714449712000},"page":"1589","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["FEMSFNet: Feature Enhancement and Multi-Scales Fusion Network for SAR Aircraft Detection"],"prefix":"10.3390","volume":"16","author":[{"ORCID":"https:\/\/orcid.org\/0009-0006-6699-1750","authenticated-orcid":false,"given":"Wenbo","family":"Zhu","sequence":"first","affiliation":[{"name":"National Geophysical Exploration Equipment Engineering Research Center, Jilin University, Changchun 130026, China"},{"name":"College of Instrumentation & Electrical Engineering, Jilin University, Changchun 130061, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Liu","family":"Zhang","sequence":"additional","affiliation":[{"name":"National Geophysical Exploration Equipment Engineering Research Center, Jilin University, Changchun 130026, China"},{"name":"College of Instrumentation & Electrical Engineering, Jilin University, Changchun 130061, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chunqiang","family":"Lu","sequence":"additional","affiliation":[{"name":"National Geophysical Exploration Equipment Engineering Research Center, Jilin University, Changchun 130026, China"},{"name":"College of Instrumentation & Electrical Engineering, Jilin University, Changchun 130061, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guowei","family":"Fan","sequence":"additional","affiliation":[{"name":"National Geophysical Exploration Equipment Engineering Research Center, Jilin University, Changchun 130026, China"},{"name":"College of Instrumentation & Electrical Engineering, Jilin University, Changchun 130061, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ying","family":"Song","sequence":"additional","affiliation":[{"name":"National Geophysical Exploration Equipment Engineering Research Center, Jilin University, Changchun 130026, China"},{"name":"College of Instrumentation & Electrical Engineering, Jilin University, Changchun 130061, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jianbo","family":"Sun","sequence":"additional","affiliation":[{"name":"Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China"},{"name":"University of Chinese Academy of Sciences, Beijing 100049, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xueying","family":"Lv","sequence":"additional","affiliation":[{"name":"National Geophysical Exploration Equipment Engineering Research Center, Jilin University, Changchun 130026, China"},{"name":"College of Instrumentation & Electrical Engineering, Jilin University, Changchun 130061, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2024,4,29]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"27","DOI":"10.2528\/PIERB07110101","article-title":"An introduction to synthetic aperture radar (SAR)","volume":"2","author":"Chan","year":"2008","journal-title":"Prog. 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