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Optimal design of segmented planar imaging for dense azimuthal sampling lens array 期刊论文
Optics Express, 2021, 卷号: 29, 期号: 15, 页码: 24300-24314
作者:  H. Hu;  C. Liu;  Y. Zhang;  Q. Feng and S. Liu
收藏  |  浏览/下载：2/0  |  提交时间：2022/06/13
Restoration Method of a Blurred Star Image for a Star Sensor Under Dynamic Conditions 期刊论文
Sensors, 2019, 卷号: 19, 期号: 19, 页码: 18
作者:  Z.Y.Mu;  J.Wang;  X.He;  Z.H.Wei;  J.W.He
收藏  |  浏览/下载：1/0  |  提交时间：2020/08/24
Restoration method for blurred star images based on region filters 期刊论文
Chinese Optics, 2019, 卷号: 12, 期号: 2, 页码: 321-331
作者:  J.Wang;  X.He;  Z.-H.Wei;  Z.-Y.Mu;  Y.Lv
收藏  |  浏览/下载：1/0  |  提交时间：2020/08/24
Possible n/p-type conductivity of two-dimensional graphene oxide by boron and nitrogen doping: Evaluated via constrained excitation 期刊论文
Applied Physics Letters, 2016, 卷号: 109, 期号: 20
作者:  Wang, D.;  D. Han;  X. B. Li;  S. Y. Xie;  N. K. Chen
收藏  |  浏览/下载：15/0  |  提交时间：2017/09/11
Robust image reconstruction enhancement based on Gaussian mixture model estimation 期刊论文
Journal of Electronic Imaging, 2016, 卷号: 25, 期号: 2
作者:  Zhao, F.;  J. Zhao;  X. Z. Han;  H. Wang and B. C. Liu
收藏  |  浏览/下载：16/0  |  提交时间：2017/09/11
基于局部视觉特征的图像质量客观评价方法研究 学位论文
博士: 中国科学院大学, 2015
作者:  卢彦飞
收藏  |  浏览/下载：145/0  |  提交时间：2015/11/30
基于臂式机构的空间望远镜稳像控制研究 学位论文
博士: 中国科学院大学, 2014
杨维帆
收藏  |  浏览/下载：29/0  |  提交时间：2014/08/21
Study of image quality degraded by los jitter 期刊论文
Zhongguo Jiguang/中文 Journal of Lasers, 2014, 卷号: 41, 期号: 4
Wang W.; Guo J.; Jiang Z.; Wang T.; Wang R.; Sun T.
收藏  |  浏览/下载：18/0  |  提交时间：2015/04/24
High accuracy compensation for image surface rotation of panoramic TDICCD scanning aerial camera 期刊论文
Guangxue Xuebao/Acta Optica Sinica, 2014, 卷号: 34, 期号: 6
Li X.; Zhang T.; Liu Z.; Li Q.; Li W.
收藏  |  浏览/下载：11/0  |  提交时间：2015/04/24
Design of motion compensation mechanism of satellite remote sensing camera (EI CONFERENCE) 会议论文
International Symposium on Photoelectronic Detection and Imaging 2011: Space Exploration Technologies and Applications, May 24, 2011 - May 26, 2011, Beijing, China
Gu S.; Yan Y.; Xu K.; Jin G.
收藏  |  浏览/下载：37/0  |  提交时间：2013/03/25
With the development of aerospace remote sensing technology  the ground resolution of remote sensing camera enhances continuously. Since there is relative motion between camera and ground target when taking pictures  the target image recorded in recording media is moved and blurred. In order to enhance the imaging quality and resolution of the camera  the image motion had to be compensated. In order to abate the effect of image motion to image quality of space camera and improve the resolution of the camera  the compensation method of image motion to space camera is researched. First  the reason of producing drift angle and adjustment principle are analyzed in this paper. This paper introduce the composition and transmission principle of image motion compensation mechanism. Second  the system adopts 80C31 as controller of drift angle  and adopts stepping motor for actuators  and adopts absolute photoelectric encoder as the drift Angle measuring element. Then the control mathematical model of the image motion compensation mechanism are deduced  and it achieve the closed-loop control of the drift angle position. At the last  this paper analyses the transmission precision of the mechanism. Through the experiment  we measured the actual precision of the image motion compensation mechanism  and compared with the theoretical analysis. There are two major contributions in this paper. First  the traditional image motion compensation mechanism is big volume and quality heavy. This has not fit for the development trend of space camera miniaturization and lightweight. But if reduce the volume and quality of mechanism  it will bring adverse effects for the precision and stiffness of mechanism. For this problem  This paper designed a image motion compensation that have some advantages such as small size  light weight at the same time  high precision  stiffness and so on. This image motion compensation can be applicable to the small optics cameras with high resolution. Second  the traditional mechanism control need to corrected  fitting and iterative for the control formula of mechanism. Only in this way  we can get the optimal control mathematical model. This paper has high precision of the control formula derived. It can achieve the high precision control without fitting  It also simplify the difficulty of control mathematical model establishment. This paper designed the range of adjusting of image motion compensation mechanism between -5 +5. Based on choosing-5  -4  -3  -2  -1  0  +1  +2  +3  +4  +4 as the expectation value of the imaginary drift angle  we get ten groups of the fact data in adjusting drift angle measured. The test results show that the precision of the drift angle control system can be achieved in 1. It can meet the system requirements that the precision of the control system is less than 3'  and it can achieve the high-precision image motion compensation. 2011 SPIE.  

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