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浏览/检索结果: 共11条，第1-10条 帮助 限定条件 内容类型：会议论文    专题：长春光学精密机械与物理研究所    第一署名单位    第一作者单位    通讯作者单位     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 Central obscuration effects on optical synthetic aperture imaging 会议论文 Conferences of the Photoelectronic Technology Committee of the Chinese Society of Astronautics: Optical Imaging, Remote Sensing, and Laser-Matter Interaction 2013, October 20, 2013 - October 29, 2013, SuZhou, China Wang X.-W.; Luo X.; Zheng L.-G.; Zhang X.-J. 收藏  |  浏览/下载：26/0  |  提交时间：2015/04/27 Super resolution optical image restoration for ground-based large telescope 会议论文 8th Symposium on Multispectral Image Processing and Pattern Recognition, MIPPR 2013, October 26, 2013 - October 27, 2013, Wuhan, China Zhang S. 收藏  |  浏览/下载：15/0  |  提交时间：2014/05/15 Adaptive wiener filtering with gaussian fitted point spread function in image restoration 会议论文 张星祥; 任建岳 收藏  |  浏览/下载：12/0  |  提交时间：2012/05/12 Space optical remote sensor of the CAE thermal control index calculation method (EI CONFERENCE) 会议论文 2011 International Conference on Advanced Design and Manufacturing Engineering, ADME 2011, September 16, 2011 - September 18, 2011, Guangzhou, China Li L. 收藏  |  浏览/下载：17/0  |  提交时间：2013/03/25 The thermal control indicators CAE methods of Space optical remote sensor are analyzed in the presented work. We sat up a thermal optical analysis model for space optical remote sensor. By assuming fully covered by in-orbit temperature load  and using the finite element method for thermal deformation analysis  we obtained the optical remote sensor surface deformation and displacement under various thermal loading. Using ZERNIKE polynomial  wave was fitted to obtain ZERNIKE polynomial coefficients which were incorporated into the optical system design. Using CODE V optical calculation software  heat-ray machines under elastic deformation of the system point spread function  transfer function (MTF)  wave front differential (WFE) etc. were calculated. Image quality changes of remote sensors are discussed in variety assumed cases such as temperature loads of quality change. By repeated iteration  critical value of temperature fields meeting the design requirements are obtained for the optical system. Optical indicators were converged to the temperature field indicator  then reasonable indicators of thermal control for remote sensors were obtained. For the thermal control design  this method provided a reliable basis for design. (2011) Trans Tech Publications  Switzerland.   Adaptive Wiener filtering with Gaussian fitted point spread function in image restoration (EI CONFERENCE) 会议论文 2011 IEEE 2nd International Conference on Software Engineering and Service Science, ICSESS 2011, July 15, 2011 - July 17, 2011, Beijing, China Yang L.; Zhang X.; Ren J. 收藏  |  浏览/下载：29/0  |  提交时间：2013/03/25 In the imaging process of the space remote sensing camera  there was degradation phenomenon in the acquired images. In order to reduce the image blur caused by the degradation  the remote sensing images were restored to give prominence to the characteristic objects in the images. First  the frequency-domain notch filter was adopted to remove strip noises in the images. Then using the ground characters with the knife-edge shape in the images  the point spread function of the imaging system was estimated. In order to improve the accuracy  the estimated point spread function was corrected with Gaussian fitting method. Finally  the images were restored using the adaptive Wiener filtering with the fitted point spread function. Experimental results of the real remote sensing images showed that almost all strip noises in the images were eliminated. After the denoised images were restored  its variance and its gray mean gradient increased  also its laplacian gradient increased. Restoration with Gaussian fitted point spread function is beneficial to interpreting and analyzing the remote sensing images. After restoration  the blur phenomenon of the images is reduced. The characters are highlighted  and the visual effect of the images is clearer. 2011 IEEE.   Astronomical image restoration through atmosphere turbulence by lucky imaging (EI CONFERENCE) 会议论文 3rd International Conference on Digital Image Processing, ICDIP 2011, April 15, 2011 - April 17, 2011, Chengdu, China Zhang S.; Wu Y.; Zhao J.; Wang J. 收藏  |  浏览/下载：18/0  |  提交时间：2013/03/25 In this paper  we develop a lucky imaging system to restore astronomical images through atmosphere turbulence. Our system takes very short exposures  on the order of the atmospheric coherence time. The rapidly changing turbulence leads to a very variable point spread function (PSF)  and the variability of the PSF leads to some frames having better quality than the rest. Only the best frames are selected  aligned and co-added to give a final image with much improved angular resolution. Our system mainly consists of five parts: preprocessing  frame selection  image registration  image reconstruction  and image enhancement. Our lucky imaging system has been successfully applied to restore the astronomical images taken by a 1.23m telescope. We have got clear images of moon surface and Jupiter  and our system can be demonstrated to greatly improve the imaging resolution through atmospheric turbulence. 2011 Copyright Society of Photo-Optical Instrumentation Engineers (SPIE).   Research on image restoration of Roll-Swing imaging seeker (EI CONFERENCE) 会议论文 3rd IEEE International Conference on Advanced Computer Control, ICACC 2011, January 18, 2011 - January 20, 2011, Harbin, China Bai Y.; Zhang H.; Han X.; Wei Q.; Jia H.; Guo L. 收藏  |  浏览/下载：20/0  |  提交时间：2013/03/25 To achieve a correct image receiving for Roll-Swing imaging seeker  the mechanism and imaging process is analyzed. The causes of image rotation are discussed. The influence of the frame encoders' precision on imaging de-rotation quality is analyzed. The Roll-Swing imaging seeker is designed for high-speed aerocraft  thus the received images are greatly degraded due to atmospheric turbulence. A new method of image restoration is proposed for turbulence-degraded images in this paper. The method is to get point spread function (PSF) based on the estimation of optical transfer function (OTF) according to the optical system design simulation. Finally  to obtain the restored image  constrained least squares filtering is used with the known PSF. The experiment results indicate that the new restoration method has a favorable effect to satisfy requirement of the automatic target recognition. 2011 IEEE.   Mechanism of STED microscopy and analysis of the factors affecting resolution (EI CONFERENCE) 会议论文 6th International Symposium on Precision Engineering Measurements and Instrumentation, August 8, 2010 - August 11, 2010, Hangzhou, China Yang P.; Ai H. 收藏  |  浏览/下载：16/0  |  提交时间：2013/03/25 Stimulated emission depletion (STED) microscopy exploits nonlinear saturable optical transition of fluorescent molecules  allowed to overcome Abbe's diffraction-limit and provides diffraction-unlimited resolution in far-field optical microscopy. We elaborate the mechanism of STED and the conditions of depletion. The formula of STED microcopy resolution is deduced through effective point spread function (E-PSF). The STED system resolution is mainly dominated by the quality of the fluorescence depletion patterns in the focal plane. The depletion pattern is mainly affected by STED beam intensity  polarization  phase plate  primary aberrations  STED pulse shape  pulse duration and delay time. In this paper  we found related models and simulate the relationship between the depletion patterns and the parameters  and put forward effective approach to enhance the system resolution. 2010 SPIE.   Remote sensing image restoration using estimated point spread function (EI CONFERENCE) 会议论文 2010 International Conference on Information, Networking and Automation, ICINA 2010, October 17, 2010 - October 19, 2010, Kunming, China Yang L.; Ren J. 收藏  |  浏览/下载：27/0  |  提交时间：2013/03/25 In order to reduce image blur caused by the degradation phenomenon in the imaging process  the acquired images of the space remote sensing camera are restored. First  the frequency-domain notch filter is adopted to remove strip noises in the images. Then degradation function  which is referred to as the point spread function (PSF) of the imaging system is estimated using the knife-edge method. To improve the accuracy of the estimation  the estimated PSF is adjusted with Gaussian fitting. Finally  the images are restored by Wiener filtering with the fitted PSF. The restoration results of the remote sensing images show that almost all strip noises are eliminated by the notch filter. After denoising and restoration  the variance of the remote sensing image worked with in this paper increases 30.979 and the gray mean gradient increases 3.312. Due to Gaussian fitting  the accuracy of the PSF estimation is heightened. Image restoration with the final PSF is benefit to interpreting and analyzing the remote sensing images. After restoration  the contrasts of the restored images are increased and the visual effects become clearer. 2010 IEEE.   The study of mapping relation of aeroplane complex motion and image movement and compensation technique (EI CONFERENCE) 会议论文 2010 International Conference on Computer Application and System Modeling, ICCASM 2010, October 22, 2010 - October 24, 2010, Shanxi, Taiyuan, China Wei Z.; Wang Y.-Y.; Xue W.-Q.; Dai M. 收藏  |  浏览/下载：17/0  |  提交时间：2013/03/25 In order to solve the problem of image blurring due to the image motion which results from the aircraft's motion  attitude changes  and the relative motion of the camera and aircraft firstly  we install linear displacement transducer on the four shock absorbers. By analyzing the displacement values  the geometrical relationship between the camera and the aircraft is acquired  then relative motion amount between the object and the aircraft is obtained according to the motion and attitude changes. After that  making use of geometrical relationship  we can calculate the displacement variation of pixels within the camera exposure time. Thereafter  taking consider variable motion and non-linear motion as uniform motion in a straight line at the moment of imaging  then the model of the blurring image can be established according to the displacement variation of pixels within the camera exposure time  and fuzzy point spread function in the two-dimensional movement is built. By using Wiener filtering method with the optimal window  the image blurring is eliminated in aerial imaging system. Practice proved that this method can effectively eliminate the image blurring in the aerial imaging system. 2010 IEEE.