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Infrared patch-tensor model with a new tensor nuclear norm for small target detection in the ground background 会议论文
Proceedings of 2020 IEEE International Conference on Information Technology, Big Data and Artificial Intelligence, ICIBA 2020, Chongqing, China, 2020-11-06
作者:  Li, Ruimei;  Yao, Dalei;  Qiu, Yuehong;  Bu, Fan;  Wang, Li
Adobe PDF(4489Kb)  |  收藏  |  浏览/下载：149/0  |  提交时间：2021/02/05
infrared patch-tensor  small target detection  tensor robust principal component analysis  local prior  sparse  
Applications and development of micro- or nano-metric multi degree of freedom adjusting displacement scaling mechanisms for primary mirror 会议论文
FOURTH INTERNATIONAL CONFERENCE ON PHOTONICS AND OPTICAL ENGINEERING, Xian, PEOPLES R CHINA, 2020-10-15
作者:  Hu, Bin;  Li, Chuang;  Zhu, Qing;  Ye, Jing
Adobe PDF(1969Kb)  |  收藏  |  浏览/下载：195/3  |  提交时间：2021/07/23
multi degree of freedom adjusting  displacement scaling mechanism  micro- or nano-metric  segmented primary mirror  large aperture space telescope  
A New Type of Unitized Design for the Structure of a Space Camera using Topology Optimization 会议论文
FOURTH INTERNATIONAL CONFERENCE ON PHOTONICS AND OPTICAL ENGINEERING, Xian, PEOPLES R CHINA, 2020-10-15
作者:  Ye Jing;  Song Yang;  Duan Yongqiang;  Hu Yongming;  Hu Bin
Adobe PDF(384Kb)  |  收藏  |  浏览/下载：148/2  |  提交时间：2021/07/23
Topology Optimization  Unitized Design  Space Camera  
Proposal-based visual tracking using spatial cascaded transformed region proposal network 期刊论文
Sensors (Switzerland), 2020, 卷号: 20, 期号: 17, 页码: 1-20
作者:  Zhang, Ximing;  Luo, Shujuan;  Fan, Xuewu
Adobe PDF(8427Kb)  |  收藏  |  浏览/下载：141/1  |  提交时间：2020/10/16
visual tracking  spatial cascaded networks  shrinkage loss  multi-cue proposals re-ranking  region proposals networks  
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：150/1  |  提交时间：2020/07/21
Space debris recognition  Star image  Binary classifier  Equal probability density curve  Full information vector  
Thermal Infrared Tracking using Multi-stages Deep Features Fusion 会议论文
Proceedings of the 32nd Chinese Control and Decision Conference, CCDC 2020, Hefei, China, 2020-08-22
作者:  Zhang, Ximing;  Chen, Rongli;  Liu, Gang;  Li, Xuyang;  Luo, Shujuan;  Fan, Xuewu
Adobe PDF(655Kb)  |  收藏  |  浏览/下载：176/1  |  提交时间：2020/10/30
Thermal Infrared Tracking  Multi-stages Networks  Deep Features Fusion  Siamese Networks  Region Proposal Networks  
Spatial Transformer Part-based Siamese Visual Tracking 会议论文
Proceedings of the 39th Chinese Control Conference, CCC 2020, Shenyang, China, 2020-07-27
作者:  Zhang, Ximing;  Lei, Hao;  Ma, Yilong;  Luo, Shujuan;  Fan, Xuewu
Adobe PDF(544Kb)  |  收藏  |  浏览/下载：158/1  |  提交时间：2020/10/30
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：241/3  |  提交时间：2020/04/23
Cascaded region proposal networks for proposal-based tracking 会议论文
Smart Multimedia - 2nd International Conference, ICSM 2019, Revised Selected Papers, San Diego, CA, United states, 2019-12-16
作者:  Zhang, Ximing;  Fan, Xuewu;  Luo, Shujuan
Adobe PDF(3041Kb)  |  收藏  |  浏览/下载：124/0  |  提交时间：2020/10/14
Visual tracking  Spatial cascaded networks  Multi-features  Region proposals networks  Spatial transformer networks  
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