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	An appraisal method of dynamic interpolation error for high precision encoder (EI CONFERENCE) 会议论文 OAI收割 2011 International Conference on Electronics and Optoelectronics, ICEOE 2011, July 29, 2011 - July 31, 2011, Dalian, China 作者: Wan Q.-H.; Liu C.-X.; Liu C.-X. 收藏 \| 浏览/下载：17/0 \| 提交时间：2013/03/25 This paper introduces an appraisal method of the dynamic interpolation error for the high precision encoder (Lissajou pattern calculation method). When the encoder is rolling two groups of fine photoelectric signals whose phase difference are /2 can be collected using data collected car. The shape and position deviation can be obtained through the comparison between Lissajou charts and the standard circle. Then dynamic interpolation error can be calculated out directly. This method is immune to the influence of encoder's speed and has no rigid demand to the test circumstances and test devices. The experimental results indicate that this method is feasible and important to the encoder's dynamic interpolation error checking. 2011 IEEE.
	Fine Reconstruction of Seismic Data Using Localized Fractals 期刊论文 OAI收割 INTERNATIONAL JOURNAL OF NONLINEAR SCIENCES AND NUMERICAL SIMULATION, 2009, 卷号: 10, 期号: 9, 页码: 1181-1188 作者: Li, Xiaofan; Li, Xinfu; Zhang, Meigen \| 收藏 \| 浏览/下载：23/0 \| 提交时间：2018/09/26 Fine reconstruction of seismic data localized fractals high-precision interpolation fine structure
	Fine Reconstruction of Seismic Data Using Localized Fractals 期刊论文 OAI收割 INTERNATIONAL JOURNAL OF NONLINEAR SCIENCES AND NUMERICAL SIMULATION, 2009, 卷号: 10, 期号: 9, 页码: 1181-1188 作者: Li, Xiaofan; Li, Xinfu; Zhang, Meigen \| 收藏 \| 浏览/下载：16/0 \| 提交时间：2018/09/26 Fine reconstruction of seismic data localized fractals high-precision interpolation fine structure
	Dynamic evaluation system for interpolation errors in the encoder of high precision (EI CONFERENCE) 会议论文 OAI收割 4th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment, November 19, 2008 - November 21, 2008, Chengdu, China 作者: Liang L.-H.; Sun Y.; Sun Y.; Wan Q.-H. 收藏 \| 浏览/下载：31/0 \| 提交时间：2013/03/25 In order to measure dynamic interpolation errors of photoelectric encoder of high precision the dynamic evaluation system of interpolation errors is introduced. Firstly the fine Moire signal of encoder which is collected with the high-speed data gathering card into the computer is treated to equiangular data with the method of linear interpolation. Then the analysis of harmonic wave with the FFT is processed. Compared with the standard signal the dynamic interpolation errors of the encoder are calculated. Experimental results show that the precision of the dynamic evaluation system of interpolation errors is 0.1 %( pitch). The evaluation system is simple fast high precision and can be used in the working field of the encoder. 2009 SPIE.
	Data preprocessing of the exterior field of vision assembling photogrammetric camera (EI CONFERENCE) 会议论文 OAI收割 3rd International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment, July 8, 2007 - July 12, 2007, Chengdu, China 作者: Li J.; Li J.; Li J.; Liu J.; Liu J. 收藏 \| 浏览/下载：73/0 \| 提交时间：2013/03/25 Transmit array photogrammetric camera can obtain image which is high geometric fidelity and high photogrammetric quality. However the single chip array CCD image sensor camera can't meet the need of measuring precision and photogrammetric covering area. In order to obtain large numbers of information and extensive photogrammetric covering area we must increase field of vision angle and improve photogrammetric covering area. And all these objects can be realized by exterior field of vision assembling photogrammetric camera. Two side work must be done before images which obtained by exterior field of vision assembling photogrammetric camera be used in photogrammetry. First all assembling camera focal plane need be converted to a benchmark coordinate focal plane to realize camera digital assembling. Second images must be re-sampled and processing. Because of coordinate conversion two images from different assembling cameras can be established function relation which a pixel of image from a camera is corresponding to a pixel of another image from different camera. But through this conversion some pixels maybe extrusion together and other pixels separate on an image area. So interpolation direction finding(IDF) is used to obtain these pixels and realize image re-sampling. In this paper the structure of exterior field of vision assembling photogrammetric camera is analyzed and the coordinate conversion method of exterior field of vision assembling photogrammetric camera and image gray re-sampling method also can be discussed. All the works are based to data pretreatment of exterior vision assembling photogrammetric camera.
	The geometric distortions correction of uncooled large-sized relative aperture infrared imaging system (EI CONFERENCE) 会议论文 OAI收割 Infrared Components and their Applications, November 8, 2004 - November 11, 2004, Beijing, China 作者: Sun Q. 收藏 \| 浏览/下载：18/0 \| 提交时间：2013/03/25 The geometric distortion of infrared image which was created by the large-sized relative aperture optical system. It could be corrected by the digital image processing technology. The magnitude of distortion would be enlarged quickly with the enlargement of relative aperture. Though the distortion could not impact on the articulation of the image it would affect geometric location precision of the image directly. In this paper the distortion correction of uncooled large-sized relative aperture infrared imaging system was discussed and the mathematical model of distortion correction was established. A algorithm of digital image processing was presented and applied based on control points by combining polynomial warping and space variant linear image interpolation. The method of polynomial warping was used to establish the locality relationship between the original image and the distortion ones. The space-variant linear image interpolation provided an efficient way to rebuild the frame of images. The computational costs of the proposed approach are very little and the precision is almost as high as the method of bicubic interpolation when compared to those of state-of-the-art nonlinear interpolation operators.