{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,22]],"date-time":"2026-04-22T01:11:57Z","timestamp":1776820317059,"version":"3.51.2"},"reference-count":53,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/OAPA.html"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["41501485"],"award-info":[{"award-number":["41501485"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["41701508"],"award-info":[{"award-number":["41701508"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61725105"],"award-info":[{"award-number":["61725105"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2018]]},"DOI":"10.1109\/access.2018.2869884","type":"journal-article","created":{"date-parts":[[2018,9,13]],"date-time":"2018-09-13T18:46:17Z","timestamp":1536864377000},"page":"50839-50849","source":"Crossref","is-referenced-by-count":156,"title":["Position Detection and Direction Prediction for Arbitrary-Oriented Ships via Multitask Rotation Region Convolutional Neural Network"],"prefix":"10.1109","volume":"6","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6287-3590","authenticated-orcid":false,"given":"Xue","family":"Yang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hao","family":"Sun","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xian","family":"Sun","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Menglong","family":"Yan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhi","family":"Guo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kun","family":"Fu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2389824"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1080\/01431161.2010.512310"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.4028\/www.scientific.net\/KEM.500.785"},{"key":"ref32","doi-asserted-by":"crossref","first-page":"1345","DOI":"10.3390\/s16091345","article-title":"An adaptive ship detection scheme for spaceborne SAR imagery","volume":"16","author":"leng","year":"2016","journal-title":"SENSORS"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1080\/07038992.2001.10854880"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2017.2654450"},{"key":"ref37","doi-asserted-by":"crossref","first-page":"4511","DOI":"10.1109\/TGRS.2013.2282355","article-title":"Ship detection in high-resolution optical imagery based on anomaly detector and local shape feature","volume":"52","author":"shi","year":"2014","journal-title":"IEEE Trans Geosci Remote Sens"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2013.2273552"},{"key":"ref35","doi-asserted-by":"crossref","first-page":"749","DOI":"10.1109\/LGRS.2011.2180695","article-title":"A visual search inspired computational model for ship detection in optical satellite images","volume":"9","author":"bi","year":"2012","journal-title":"IEEE Geosci Remote Sens Lett"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2010.2046330"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/RADAR.2013.6652006"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2577031"},{"key":"ref29","first-page":"2165","article-title":"The state-of-the-art in ship detection in synthetic aperture radar imagery","volume":"35","author":"crisp","year":"2004","journal-title":"Organic Lett"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2014.2309695"},{"key":"ref1","doi-asserted-by":"crossref","first-page":"132","DOI":"10.3390\/rs10010132","article-title":"Automatic ship detection in remote sensing images from Google Earth of complex scenes based on multiscale rotation dense feature pyramid networks","volume":"10","author":"yang","year":"2018","journal-title":"Remote Sens"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"ref22","first-page":"1097","article-title":"ImageNet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref21","author":"simonyan","year":"2014","journal-title":"Very Deep Convolutional Networks for Large-scale Image Recognition"},{"key":"ref24","first-page":"5353","article-title":"Convolutional neural networks at constrained time cost","author":"he","year":"2014","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit (CVPR)"},{"key":"ref23","first-page":"448","article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","author":"ioffe","year":"2015","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.169"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.81"},{"key":"ref50","author":"abadi","year":"2016","journal-title":"Tensorflow Large-scale machine learning on heterogeneous distributed systems"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2013.12.011"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.593"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.255"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2011.12.004"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2013.01.012"},{"key":"ref40","first-page":"779","article-title":"You only look once: Unified, real-time object detection","author":"redmon","year":"2015","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit (CVPR)"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2013.2252423"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/SSST.2009.4806823"},{"key":"ref14","first-page":"529","article-title":"Airplane detection in remote sensing image with a circle-frequency filter","author":"cai","year":"2005","journal-title":"Proc IEEE China Summit Int Conf Signal Inf Process"},{"key":"ref15","first-page":"189","article-title":"An airplane detection method for panchromatic image","author":"an","year":"2013","journal-title":"Proc IEEE China Summit Int Conf Signal Inf Process"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2011.6116259"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CISP.2010.5647478"},{"key":"ref18","first-page":"195","article-title":"An aircraft detection method based on convolutional neural networks in high-resolution SAR images","volume":"6","author":"siyu","year":"2017","journal-title":"J Radars"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.308"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2013.2253088"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2010.2069555"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2010.182"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2008.09.005"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2014.08.017"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2012.2207123"},{"key":"ref49","author":"ma","year":"2017","journal-title":"Arbitrary-oriented scene text detection via rotation proposals"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2013.2288500"},{"key":"ref46","doi-asserted-by":"crossref","first-page":"860","DOI":"10.3390\/rs9080860","article-title":"Contextual region-based convolutional neural network with multilayer fusion for SAR ship detection","volume":"9","author":"kang","year":"2017","journal-title":"Remote Sens"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.5194\/isprs-archives-XLI-B7-423-2016"},{"key":"ref48","first-page":"770","article-title":"Deep residual learning for image recognition","author":"he","year":"2016","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2014.2335751"},{"key":"ref42","author":"lin","year":"2016","journal-title":"Feature pyramid networks for object detection"},{"key":"ref41","first-page":"21","article-title":"SSD: Single shot multibox detector","author":"liu","year":"2016","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/RSIP.2017.7958815"},{"key":"ref43","author":"dai","year":"2016","journal-title":"R-FCN Object Detection via Region-based Fully Convolutional Networks[J]"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8274985\/08464244.pdf?arnumber=8464244","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,26]],"date-time":"2022-01-26T08:42:31Z","timestamp":1643186551000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8464244\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"references-count":53,"URL":"https:\/\/doi.org\/10.1109\/access.2018.2869884","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018]]}}}