Article(id=1242136446954451876, tenantId=1146029695717560320, journalId=1146031591421210625, issueId=1242136426431718263, articleNumber=null, orderNo=14, doi=10.3981/j.issn.1000-7857.2017.20.009, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1506268800000, receivedDateStr=2017-09-25, revisedDate=1506441600000, revisedDateStr=2017-09-27, acceptedDate=null, acceptedDateStr=null, onlineDate=1509418036843, onlineDateStr=2017-10-31, pubDate=1509120000000, pubDateStr=2017-10-28, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1509418036843, onlineIssueDateStr=2017-10-31, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1774078006729, creator=sys-migrate, updateTime=1774078006729, updator=sys-migrate, issue=Issue{id=1242136426431718263, tenantId=1146029695717560320, journalId=1146031591421210625, year='2017', volume='35', issue='20', pageStart='1', pageEnd='140', issueExtLink='null', onlineDate='null', pubDate='1509120000000', pubDateStr='2017-10-28', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=3, issueType=-1, specialIssue=null, createTime=1774078001837, creator='sys-migrate', updateTime=1774078001837, updator='sys-migrate', preIssue=null, nextIssue=null, articleTotal=null, ext=null, issueFiles=null, downloadFileDto=null}, startPage=86, endPage=93, ext={EN=ArticleExt(id=1242136451639489469, articleId=1242136446954451876, tenantId=1146029695717560320, journalId=1146031591421210625, language=EN, title=Ship detection and classification baser on single-polarization SAR images, columnId=1242116903087440448, journalTitle=Science & Technology Review, columnName=Spescial Issues, runingTitle=null, highlight=null, articleAbstract=The SAR is an active microwave imaging sensor, which can work day and night, under all weather conditions, and with a highresolution earth observation capability. It is widely used for ship detection and classification. With the development of the SAR imaging technology, the resolution of the SAR image is becoming higher and higher, thus the robust and efficient ship detection and classification methods are very important for military and civil applications. This paper reviews the current ship detection and classification based on single-polarization SAR images, analyzes their features and shortcomings, and make aprediction of the future developments., authors=WANG Zhaocheng¹, LI Lu¹, DU Lan¹, XU Feng², authorsList=WANG Zhaocheng, LI Lu, DU Lan, XU Feng, authorCompany=1. National Lab of Radar Signal Processing, Xidian University, Xi'an 710071, China;
2. Key Lab for Information Science of Electromagnetic Waves, Fudan University, Shanghai 200433, China, correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=cOd8ePEktBNusT1De6BM6Q==, pdfFileSize=2343150, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1242136450699961265, articleId=1242136446954451876, tenantId=1146029695717560320, journalId=1146031591421210625, language=CN, title=基于单极化SAR图像的舰船目标检测与分类方法, columnId=1242116902361830275, journalTitle=科技导报, columnName=专题论文, runingTitle=null, highlight=null, articleAbstract=SAR是一种主动式微波成像传感器，具有全天时全天候高分辨率对地观测能力，被广泛应用于海洋舰船目标检测与分类。随着SAR成像技术的发展，SAR图像的分辨率越来越高，数据量也越来越大，研究鲁棒高效的海洋舰船目标检测与分类方法对于军事及民用领域具有重大意义。总结了现有的针对单极化SAR图像的舰船目标检测及分类方法，分析了各类方法的特点以及存在的问题，展望了未来SAR图像舰船目标检测及分类方法的发展趋势。, authors=王兆成¹, 李璐¹, 杜兰¹, 徐丰², authorsList=王兆成, 李璐, 杜兰, 徐丰, authorCompany=1. 西安电子科技大学雷达信号处理国家重点实验室, 西安 710071;
2. 复旦大学电磁波信息科学教育部重点实验室, 上海 200433, correspAuthors=null, authorNote=王兆成,博士研究生,研究方向为SAR图像目标检测与鉴别,电子信箱:zcwang199009@163.com, correspAuthorsNote=杜兰(通信作者),教授,研究方向为雷达目标识别、统计机器学习理论,电子信箱:dulan@mail.xidian.edu.cn, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=hqBBTL4R0dUeSJCX5Knktg==, pdfFileSize=2343150, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=国家自然科学基金项目（61771362）)}, authors=null, keywords=[Keyword(id=1242136449517167532, tenantId=1146029695717560320, journalId=1146031591421210625, articleId=1242136446954451876, language=CN, orderNo=1, keyword=SAR), Keyword(id=1242136449609442222, tenantId=1146029695717560320, journalId=1146031591421210625, articleId=1242136446954451876, language=CN, orderNo=1, keyword=舰船目标检测), 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