{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,13]],"date-time":"2026-03-13T15:01:45Z","timestamp":1773414105331,"version":"3.50.1"},"reference-count":90,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100007515","name":"National Youth Science Foundation","doi-asserted-by":"publisher","award":["41901378"],"award-info":[{"award-number":["41901378"]}],"id":[{"id":"10.13039\/100007515","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Geosci. Remote Sensing"],"published-print":{"date-parts":[[2023]]},"DOI":"10.1109\/tgrs.2023.3268330","type":"journal-article","created":{"date-parts":[[2023,4,19]],"date-time":"2023-04-19T17:28:46Z","timestamp":1681925326000},"page":"1-21","source":"Crossref","is-referenced-by-count":11,"title":["Remote Sensing Image Ship Detection Based on Dynamic Adjusting Labels Strategy"],"prefix":"10.1109","volume":"61","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0754-7039","authenticated-orcid":false,"given":"Chaofan","family":"Pan","sequence":"first","affiliation":[{"name":"School of Data and Target Engineering, PLA Strategic Support Force Information Engineering University, Zhengzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7130-4752","authenticated-orcid":false,"given":"Runsheng","family":"Li","sequence":"additional","affiliation":[{"name":"School of Data and Target Engineering, PLA Strategic Support Force Information Engineering University, Zhengzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wei","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Data and Target Engineering, PLA Strategic Support Force Information Engineering University, Zhengzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7210-7670","authenticated-orcid":false,"given":"Wanjie","family":"Lu","sequence":"additional","affiliation":[{"name":"School of Data and Target Engineering, PLA Strategic Support Force Information Engineering University, Zhengzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chaoyang","family":"Niu","sequence":"additional","affiliation":[{"name":"School of Data and Target Engineering, PLA Strategic Support Force Information Engineering University, Zhengzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Quanfu","family":"Bao","sequence":"additional","affiliation":[{"name":"China Aviation Remote Sensing Service Corporation, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.4028\/www.scientific.net\/AMM.190-191.1099"},{"key":"ref57","first-page":"5621","article-title":"RepPoints V2: Verification meets regression for object detection","volume":"33","author":"chen","year":"2020","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2022.3221784"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00975"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-12990-2_85"},{"key":"ref59","article-title":"Learning a rotation invariant detector with rotatable bounding box","author":"liu","year":"2017","journal-title":"arXiv 1711 09405"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.5194\/isprsarchives-XL-1-W1-233-2013"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00308"},{"key":"ref53","first-page":"734","article-title":"CornerNet: Detecting objects as paired keypoints","author":"law","year":"2018","journal-title":"Proc Eur Conf Comput Vis (ECCV)"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01252-6_24"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3141407"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00972"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2022.3192455"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00667"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2009.2031826"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2013.2272492"},{"key":"ref19","first-page":"1","article-title":"An auto-adapt multilevel threshold segmentation method of ships detection in remote sensing images with complex sea surface background","author":"wang","year":"2011","journal-title":"Proc Int Workshop Multi-Platform\/Multi-Sensor Remote Sens Mapping"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2010.2046330"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00442"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.324"},{"key":"ref90","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2022.3167919"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01556"},{"key":"ref45","first-page":"677","article-title":"Arbitrary-oriented object detection with circular smooth label","author":"yang","year":"2020","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref89","doi-asserted-by":"publisher","DOI":"10.3390\/s23010207"},{"key":"ref48","author":"gray","year":"1953","journal-title":"Pulse code communication"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1038\/scientificamerican0872-76"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00832"},{"key":"ref86","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2022.3233081"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.3390\/rs10010132"},{"key":"ref85","doi-asserted-by":"publisher","DOI":"10.3390\/rs14246329"},{"key":"ref44","first-page":"195","article-title":"PIoU Loss: Towards accurate oriented object detection in complex environments","author":"chen","year":"2020","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref88","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00125"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i3.16347"},{"key":"ref87","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2022.06.049"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2389824"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2021.3064425"},{"key":"ref7","first-page":"1","article-title":"A robust one-stage detector for multiscale ship detection with complex background in massive SAR images","volume":"60","author":"yang","year":"2021","journal-title":"IEEE Trans Geosci Remote Sens"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2022.3145790"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.3390\/rs13183690"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2018.2882551"},{"key":"ref6","article-title":"Oriented Gaussian functionbased box boundary-aware vectors for oriented ship detection in multiresolution SAR imagery","volume":"60","author":"zhang","year":"2022","journal-title":"IEEE Trans Geosci Remote Sens"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2021.3099483"},{"key":"ref82","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.3018106"},{"key":"ref81","first-page":"18381","article-title":"Learning high-precision bounding box for rotated object detection via Kullback–Leibler divergence","volume":"34","author":"yang","year":"2021","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00296"},{"key":"ref84","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.3010051"},{"key":"ref83","doi-asserted-by":"publisher","DOI":"10.3390\/rs13112208"},{"key":"ref80","first-page":"11830","article-title":"Rethinking rotated object detection with Gaussian Wasserstein distance loss","author":"yang","year":"2021","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref35","article-title":"DSSD: Deconvolutional single shot detector","author":"fu","year":"2017","journal-title":"arXiv 1701 06659"},{"key":"ref79","article-title":"The KFIoU loss for rotated object detection","author":"yang","year":"2022","journal-title":"arXiv 2201 12558"},{"key":"ref34","first-page":"21","article-title":"SSD: Single shot MultiBox detector","author":"liu","year":"2016","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref78","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00619"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.5244\/C.31.76"},{"key":"ref36","article-title":"FSSD: Feature fusion single shot multibox detector","author":"li","year":"2017","journal-title":"arXiv 1712 00960"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.690"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2021.3122924"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.91"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1109\/WACV48630.2021.00220"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01283"},{"key":"ref77","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00281"},{"key":"ref32","article-title":"YOLOv3: An incremental improvement","author":"redmon","year":"2018","journal-title":"arXiv 1804 02767"},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00350"},{"key":"ref2","first-page":"1","article-title":"Ship detection in SAR images based on an improved faster R-CNN","author":"li","year":"2017","journal-title":"Proc SAR Big Data Era Models Methods Appl"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.3390\/rs9080860"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2017.8296411"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2018.2818020"},{"key":"ref71","article-title":"SGDR: Stochastic gradient descent with warm restarts","author":"loshchilov","year":"2016","journal-title":"arXiv 1608 03983"},{"key":"ref70","first-page":"1737","article-title":"SGD-QN: Careful quasi- Newton stochastic gradient descent","volume":"10","author":"bordes","year":"2009","journal-title":"J Mach Learn Res"},{"key":"ref73","article-title":"R3Det: Refined singlestage detector with feature refinement for rotating object","author":"yang","year":"2019","journal-title":"arXiv 1908 05612"},{"key":"ref72","article-title":"Mixup: Beyond empirical risk minimization","author":"zhang","year":"2017","journal-title":"arXiv 1710 09412"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.169"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.5220\/0006120603240331"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.81"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3120411"},{"key":"ref26","first-page":"379","article-title":"R-FCN: Object detection via regionbased fully convolutional networks","author":"dai","year":"2016","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref25","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":"ref69","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00418"},{"key":"ref20","first-page":"59","article-title":"Sea object detection using colour and texture classification","volume":"1","author":"kumar","year":"2011","journal-title":"Int J Appl Sci Comput"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.2995477"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3062048"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i07.6999"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/AIPR.2011.6176352"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.3390\/rs13214209"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.322"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.106"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00644"},{"key":"ref60","article-title":"R2CNN: Rotational region CNN for orientation robust scene text detection","author":"jiang","year":"2017","journal-title":"arXiv 1706 09579"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.3020165"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01122"}],"container-title":["IEEE Transactions on Geoscience and Remote Sensing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/36\/10006360\/10105627.pdf?arnumber=10105627","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,6,12]],"date-time":"2023-06-12T18:12:45Z","timestamp":1686593565000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10105627\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"references-count":90,"URL":"https:\/\/doi.org\/10.1109\/tgrs.2023.3268330","relation":{},"ISSN":["0196-2892","1558-0644"],"issn-type":[{"value":"0196-2892","type":"print"},{"value":"1558-0644","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]}}}