Article(id=1242138739732984682, tenantId=1146029695717560320, journalId=1146031591421210625, issueId=1242138709710156485, articleNumber=null, orderNo=22, doi=10.3981/j.issn.1000-7857.2020.21.020, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1587052800000, receivedDateStr=2020-04-17, revisedDate=1601222400000, revisedDateStr=2020-09-28, acceptedDate=null, acceptedDateStr=null, onlineDate=1605595274917, onlineDateStr=2020-11-17, pubDate=1605196800000, pubDateStr=2020-11-13, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1605595274917, onlineIssueDateStr=2020-11-17, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1774078553369, creator=sys-migrate, updateTime=1774078553369, updator=sys-migrate, issue=Issue{id=1242138709710156485, tenantId=1146029695717560320, journalId=1146031591421210625, year='2020', volume='38', issue='21', pageStart='1', pageEnd='196', issueExtLink='null', onlineDate='null', pubDate='1605196800000', pubDateStr='2020-11-13', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=3, issueType=-1, specialIssue=null, createTime=1774078546212, creator='sys-migrate', updateTime=1774078546212, updator='sys-migrate', preIssue=null, nextIssue=null, articleTotal=null, ext=null, issueFiles=null, downloadFileDto=null}, startPage=159, endPage=168, ext={EN=ArticleExt(id=1242138743583351272, articleId=1242138739732984682, tenantId=1146029695717560320, journalId=1146031591421210625, language=EN, title=Super-resolution reconstruction for unmanned aerial vehicle video-based on aerial photography locating, columnId=1242138716576232151, journalTitle=Science & Technology Review, columnName=Exclusive: System Engineering, runingTitle=null, highlight=null, articleAbstract=Super-resolution reconstruction for unmanned aerial vehicle video based on aerial photography locating (SRRUAVVAPL) is proposed to improve the quality of UAV reconnaissance video. Firstly, feature matching of all the video frames is performed to figure out the relations among the video frames, and feature matching of all the adjacent frames are also performed to figure out the relations among the adjacent frames. Then an unmanned aerial vehicle target locating scheme based on space forward intersection and robust estimation (UAVTLSFIRE) is put forward to realize aerial photography locatiing. Lastly, video frames are improved by high-frequency compensation and POCS iterative optimization, and the reconstructed video is obtained. Experimental results show the proposed method is an effective super-resolution reconstruction for unmanned aerial vehicle video., authors=ZHANG Yan¹, CHEN Jian¹, LIU Min¹, YU Zongchen², LI Junjie¹, XU Boao¹, CHEN Yukun¹, WANG Bin³, authorsList=ZHANG Yan, CHEN Jian, LIU Min, YU Zongchen, LI Junjie, XU Boao, CHEN Yukun, WANG Bin, authorCompany=1. No. 96901 of Chinese People's Liberation Army, Beijing 100091, China;
2. China Construction Bank Fintech, Beijing 100033, China;
3. No. 96795 of Chinese People's Liberation Army, Yinchuan 750021, China, correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=MgZz+tT31XeiuVJ4gBZvRA==, pdfFileSize=2561328, 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=1242138742543163870, articleId=1242138739732984682, tenantId=1146029695717560320, journalId=1146031591421210625, language=CN, title=基于影像定位的无人机侦察视频超分辨率重建方法, columnId=1242137113915891796, journalTitle=科技导报, columnName=专题：体系工程, runingTitle=null, highlight=null, articleAbstract=为了改善无人机侦察视频质量，针对目前无人机摄像、照相数据特点，提出了一种基于前方交会的无人机航摄影像定位方法。首先，对所有无人机侦察视频帧和航片分别进行特征匹配，得到影像间关系；然后，提出基于前方交会与抗差估计的无人机航摄影像定位方法，来实现航摄影像的定位；最后，对侦察视频帧进行高频补偿与凸集投影迭代优化，得到重建后侦察视频。实验结果表明，基于前方交会与抗差估计的无人机航摄影像定位方法加强了无人机视频与航片的对应性，凸集投影迭代优化法增强了重建的边缘保持能力。该方法增强了重建图像的一致性与保真度，特别是对图像边缘细节部分等效果极为明显，且处理速度更快。, authors=张岩¹, 陈健¹, 刘敏¹, 于宗辰², 李俊杰¹, 徐博奥¹, 陈玉坤¹, 王斌³, authorsList=张岩, 陈健, 刘敏, 于宗辰, 李俊杰, 徐博奥, 陈玉坤, 王斌, authorCompany=1. 中国人民解放军96901部队, 北京 100091;
2. 建信金融科技有限责任公司, 北京 100033;
3. 中国人民解放军96795部队, 银川 750021, correspAuthors=null, authorNote=张岩,助理研究员,研究方向为计算机视觉,电子信箱:hillwind@126.com, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=5OvLkZVoJUfoypd8wPEDFQ==, pdfFileSize=2561328, 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)}, authors=null, keywords=[Keyword(id=1242138742236979674, tenantId=1146029695717560320, journalId=1146031591421210625, articleId=1242138739732984682, language=CN, orderNo=1, keyword=无人机侦察现频), Keyword(id=1242138742312477148, tenantId=1146029695717560320, journalId=1146031591421210625, articleId=1242138739732984682, language=CN, orderNo=1, keyword=影响定位), Keyword(id=1242138742396363228, tenantId=1146029695717560320, journalId=1146031591421210625, 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