{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,15]],"date-time":"2026-04-15T18:17:59Z","timestamp":1776277079051,"version":"3.50.1"},"reference-count":53,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2020]]},"DOI":"10.1109\/access.2020.3041372","type":"journal-article","created":{"date-parts":[[2020,11,30]],"date-time":"2020-11-30T21:01:40Z","timestamp":1606770100000},"page":"215904-215914","source":"Crossref","is-referenced-by-count":24,"title":["A Novel Salient Feature Fusion Method for Ship Detection in Synthetic Aperture Radar Images"],"prefix":"10.1109","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1803-3180","authenticated-orcid":false,"given":"Gang","family":"Zhang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0944-9886","authenticated-orcid":false,"given":"Zhi","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5336-7234","authenticated-orcid":false,"given":"Xuewei","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6213-8078","authenticated-orcid":false,"given":"Canbin","family":"Yin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1049-7079","authenticated-orcid":false,"given":"Zengkai","family":"Shi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","author":"wada","year":"2016","journal-title":"Labelme Image Polygonal Annotation with Python"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00172"},{"key":"ref33","article-title":"EfficientDet: Scalable and efficient object detection","author":"tan","year":"2019","journal-title":"arXiv 1911 09070"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995344"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/34.730558"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206596"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i07.6916"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.3390\/rs12182997"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.3390\/rs11070765"},{"key":"ref34","first-page":"740","article-title":"Microsoft COCO: Common objects in context","author":"lin","year":"2014","journal-title":"Proc Eur Conf Comput Vis (ECCV)"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1145\/1180639.1180824"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.2307\/2346830"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2007.383267"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.3390\/rs9030246"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2017.2660879"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2019.2923988"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.324"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2020.2993899"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2983725"},{"key":"ref23","first-page":"841","article-title":"High-speed and High-accurate SAR ship detection based on a depthwise separable convolution neural network","volume":"8","author":"zhang","year":"2019","journal-title":"J Radars"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS.1997.615335"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00293"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.322"},{"key":"ref51","article-title":"YOLOv3: An incremental improvement","author":"redmon","year":"2018","journal-title":"arXiv 1804 02767"},{"key":"ref53","author":"glenn","year":"2020","journal-title":"ultralytics\/yolov5 v3 0 (Version v3 0)"},{"key":"ref52","article-title":"YOLOv4: Optimal speed and accuracy of object detection","author":"bochkovskiy","year":"2020","journal-title":"arXiv 2004 10934"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/BIGSARDATA.2017.8124934"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2825376"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2815688"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/RSIP.2017.7958815"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.3390\/s19051124"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/s11432-017-9405-6"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.3390\/rs11060620"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.3390\/rs11070786"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2018.2867242"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2019.2953936"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.3005151"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2015.2412174"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.3390\/rs11030293"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2016.2540809"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2017.2654450"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/s11760-018-1408-4"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2016.2618604"},{"key":"ref49","article-title":"EfficientNet: Rethinking model scaling for convolutional neural networks","author":"tan","year":"2019","journal-title":"arXiv 1905 11946"},{"key":"ref9","first-page":"91","article-title":"Faster R-CNN: Towards real-time object detection with region proposal networks","author":"ren","year":"2015","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref45","first-page":"7","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2015","journal-title":"Proc Int Conf Learn Represent (ICLR)"},{"key":"ref48","article-title":"DetNet: A backbone network for object detection","author":"li","year":"2018","journal-title":"arXiv 1804 06215"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2913372"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.487"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00326"},{"key":"ref44","first-page":"1097","article-title":"Imagenet classification with deep convolutional neural networks","author":"alex","year":"2012","journal-title":"Proc 25th Int Conf Neural Inf Process Syst (NIPS)"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/97"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8948470\/09273001.pdf?arnumber=9273001","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,12,17]],"date-time":"2021-12-17T19:55:17Z","timestamp":1639770917000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9273001\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"references-count":53,"URL":"https:\/\/doi.org\/10.1109\/access.2020.3041372","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020]]}}}