{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,10]],"date-time":"2026-06-10T05:57:28Z","timestamp":1781071048175,"version":"3.54.1"},"reference-count":33,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Nature Science Foundation of China","doi-asserted-by":"publisher","award":["62002146"],"award-info":[{"award-number":["62002146"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100018617","name":"Liaoning Revitalization Talents Program","doi-asserted-by":"publisher","award":["XLYC1807073"],"award-info":[{"award-number":["XLYC1807073"]}],"id":[{"id":"10.13039\/501100018617","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2022]]},"DOI":"10.1109\/access.2022.3228046","type":"journal-article","created":{"date-parts":[[2022,12,9]],"date-time":"2022-12-09T18:40:35Z","timestamp":1670611235000},"page":"129949-129957","source":"Crossref","is-referenced-by-count":9,"title":["Classifying Ships in SAR Images by Using Contour Bias Features and Transfer Learning"],"prefix":"10.1109","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5865-3280","authenticated-orcid":false,"given":"Yang","family":"Liu","sequence":"first","affiliation":[{"name":"School of Computer and Information Technology, Liaoning Normal University, Dalian, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8935-8820","authenticated-orcid":false,"given":"Tian","family":"Li","sequence":"additional","affiliation":[{"name":"School of Computer and Information Technology, Liaoning Normal University, Dalian, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4612-5848","authenticated-orcid":false,"given":"Kun","family":"Yuan","sequence":"additional","affiliation":[{"name":"School of Computer and Information Technology, Liaoning Normal University, Dalian, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sha","family":"Li","sequence":"additional","affiliation":[{"name":"School of Computer and Information Technology, Liaoning Normal University, Dalian, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.3390\/rs13040747"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v31i1.11231"},{"key":"ref31","article-title":"MobileNets: Efficient convolutional neural networks for mobile vision applications","author":"howard","year":"2017","journal-title":"arXiv 1704 04861"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2020.2991784"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.3026387"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2017.2698213"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2016.2551720"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1117\/12.2532551"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1080\/2150704X.2019.1650982"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.3009284"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2020.01.016"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3082759"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.3390\/s18092929"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2011.2112371"},{"key":"ref27","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2014","journal-title":"arXiv 1409 1556"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.3390\/rs10020190"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.3390\/rs70505511"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2013.2262073"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2013.2268875"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.23919\/IRS.2017.8008228"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2017.2734889"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TAES.2018.2856321"},{"key":"ref1","article-title":"ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness","author":"geirhos","year":"2018","journal-title":"arXiv 1811 12231"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2019.2947634"},{"key":"ref22","year":"0","journal-title":"The Air Force Moving and Stationary Target Recognition Database"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2020.2965558"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.167"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/BIGSARDATA.2017.8124929"},{"key":"ref26","first-page":"1097","article-title":"ImageNet classification with deep convolutional neural networks","volume":"25","author":"krizhevsky","year":"2012","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/9668973\/09978608.pdf?arnumber=9978608","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,23]],"date-time":"2023-01-23T20:07:21Z","timestamp":1674504441000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9978608\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":33,"URL":"https:\/\/doi.org\/10.1109\/access.2022.3228046","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]}}}