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	Laser flat-field system based on light scattering in nano-particle solution 期刊论文 OAI收割 OPTICS AND PRECISION ENGINEERING, 2015, 卷号: 23, 期号: 5, 页码: 1213-1220 作者: Wang QS(王秋实); Yang FG(杨福桂); Liu DX(刘丁枭); Sheng WF(盛伟繁); Li M(李明) 收藏 \| 浏览/下载：35/0 \| 提交时间：2016/04/18 Backscattering light CCD arrays Long trace profiler Nanoparticle solutions Non-uniform Polytetrafluoroethylene (PTFE) Precision instrument Structure parameter
	Study on supper resolution reconstruction based on staggered arrays (EI CONFERENCE) 会议论文 OAI收割 2011 International Conference on Electronic and Mechanical Engineering and Information Technology, EMEIT 2011, August 12, 2011 - August 14, 2011, Harbin, China Yuan Z.; Xing Z.; Guang J. 收藏 \| 浏览/下载：24/0 \| 提交时间：2013/03/25 The image resolution can be improved without increasing the requirement to optical imaging systems' parameters and decreasing the size of CCD pixel by staggered arrays technology which arranges several CCDs in a specific mode. In this paper an image super resolution method of improving the image resolution for 1.5 times both in two directions by 4 linear arrays staggered based on this technology is presented which avoids the large computation in a single time by use of circulation method. This method is proved effective by the digital simulation and a simulated experiment platform is constructed to test its feasibility. The image resolution is improved for 1.42 times of the unreconstructed image according to the imaging experiment of resolution chart which is closed to 1.5 times in ideal case. And also the reconstructed and unreconstructed images are evaluated by the image information entropy which proves that the reconstructed image contains more information. 2011 IEEE.
	Environment modeling of AS-R robot based on BP Neural Network (EI CONFERENCE) 会议论文 OAI收割 2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering, CMCE 2010, August 24, 2010 - August 26, 2010, Changchun, China Xie M.-J.; Yu X.-L.; Wang Z.-Q. 收藏 \| 浏览/下载：33/0 \| 提交时间：2013/03/25 There are some limitations when environment model of AS-R mobile robot is obtained by only using a separate CCD camera or ultrasonic sensor array. The BP neural network is designed to fuse information of the two sensors to obtain the robot's environment model in this paper. The input of BP neural network is the intercept and slope of the edge line obtained CCD camera and ultrasonic sensor arrays which is processed by through the global coordinates of coordinate transformation. The output of BP network is the fused intercept and slope of the straight edge. Experiment shows that environment model is feasible for the AS-R mobile robot and the environment modeling method has more reliability and accuracy. 2010 IEEE.
	Super-resolved imaging system with oversampling technology (EI CONFERENCE) 会议论文 OAI收割 3rd International Symposium on Advanced Optical Manufacturing and Testing Technologies, AOMATT 2007: Advanced Optical Manufacturing Technologies, July 8, 2007 - July 12, 2007, Chengdu, China 作者: Zhang X.; Wang L.-J.; Wang L.-J.; Zhang J.-P.; Liu Y. 收藏 \| 浏览/下载：63/0 \| 提交时间：2013/03/25 It has been a significant issue in the imaging filed to provide the highest possible resolution of an electro-optical imaging system(E-O imaging system). CCD arrays are inherently undersampled and spatial frequency above Nyquist frequency is distorted so as to create ambiguity and Moire patterns for targets imaged by E-O system.. As to this drawback a system-design project is introduced and discussed in the paper. It's well known that many image quality metrics are linked to MTF. However CCDs don't satisfy MTF condition namely the shift-invariant property so MTF synthesis can't appraise the whole system simply by the MTF product of the few sub-system ones in E-O imaging system. Then it is depicted how to solve this problem in the following. Finally the analyses and comparisons of the imaging performance parameters with and without super-resolved technologies are shown.