OPT OpenIR

浏览/检索结果: 共5条,第1-5条 帮助

限定条件                            
已选(0)清除 条数/页:   排序方式:
Catadioptric optical system design of 15-magnitude star sensor with large entrance pupil diameter 期刊论文
Sensors (Switzerland), 2020, 卷号: 20, 期号: 19, 页码: 1-14
作者:  Bai, Yang;  Li, Jianlin;  Zha, Rongwei;  Wang, Ying;  Lei, Guangzhi
Adobe PDF(5078Kb)  |  收藏  |  浏览/下载:264/0  |  提交时间:2020/11/02
star sensor  catadioptric optical system  COS  large entrance pupil diameter  di use spot  15-magnitude  
A novel approach for space debris recognition based on the full information vectors of star points 期刊论文
Journal of Visual Communication and Image Representation, 2020, 卷号: 71
作者:  Du, Yun;  Wen, Desheng;  Liu, Guizhong;  Qiu, Shi;  Yao, Dalei;  Yi, Hongwei;  Liu, Meiying
Adobe PDF(2090Kb)  |  收藏  |  浏览/下载:151/1  |  提交时间:2020/07/21
Space debris recognition  Star image  Binary classifier  Equal probability density curve  Full information vector  
Improved two-step optimization procedure used for designing an apodizer and Lyot stop in the Lyot coronagraph 期刊论文
Applied Optics, 2020, 卷号: 59, 期号: 16, 页码: 4939-4952
作者:  Rui Ge;  Hui Zhao;  Jing-Xuan Wei;  Yong-Qiang Duan;  Zhe Bai;  Chuang Li;  Yuan-Bo Wang;  Xue-Wu Fan
Adobe PDF(2453Kb)  |  收藏  |  浏览/下载:237/4  |  提交时间:2020/06/12
Optical design of the visible telescope for the SVOM mission 期刊论文
Applied Optics, 2020, 卷号: 59, 期号: 10, 页码: 3049-3057
作者:  Fan, Xuewu;  Zou, Gangyi;  Qiu, Yulei;  Pang, Zhihai;  Zhao, Hui;  Chen, Qinfang;  Pan, Yue;  Yuan, Hao
Adobe PDF(2976Kb)  |  收藏  |  浏览/下载:243/3  |  提交时间:2020/04/23
Space Debris Detection Using Feature Learning of Candidate Regions in Optical Image Sequences 期刊论文
IEEE ACCESS, 2020, 卷号: 8, 页码: 150864-150877
作者:  Xi, Jiangbo;  Xiang, Yaobing;  Ersoy, Okan K.;  Cong, Ming;  Wei, Xin;  Gu, Junkai
Adobe PDF(8355Kb)  |  收藏  |  浏览/下载:203/0  |  提交时间:2020/10/23
Space debris  Feature extraction  Machine learning  Signal to noise ratio  Object detection  Image sequences  Optical imaging  Space debris detection  background estimation  candidate region extraction  deep learning