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Measuring the Deflection of the Vertical via Local Reference Point Surveying and Pointing Calibration of a VLBI Telescope: A Case Study at the Urumqi Station 期刊论文
EARTH AND SPACE SCIENCE, 2021, 卷号: 8, 期号: 10, 页码: 13
作者:  Zhang, Zhibin;  Ma, Xiaohui;  Sun, Zhongmiao;  Zhang, Ali;  Yuan, Ye
收藏  |  浏览/下载:15/0  |  提交时间:2022/01/17
GNSS time offset monitoring based on the single difference among systems 期刊论文
IET RADAR SONAR AND NAVIGATION, 2020, 卷号: 14, 期号: 2, 页码: 299-302
作者:  Tu, Rui;  Zhang, Pengfei;  Zhang, Rui;  Fan, Lihong;  Liu, Jinhai
收藏  |  浏览/下载:13/0  |  提交时间:2020/11/09
Double-layered industrial predictive control based on target tracking 期刊论文
Kongzhi yu Juece/Control and Decision, 2017, 卷号: 32, 页码: 797-803
作者:  Chen, Qiao;  Ding, Bao-Cang;  Wang, Ya-Nan;  Xie, Ya-Jun
收藏  |  浏览/下载:3/0  |  提交时间:2019/11/26
Compensation for center offset error in annular subaperture stitching interferometry 期刊论文
Guangzi Xuebao/Acta Photonica Sinica, 2016, 卷号: 45
作者:  Li, Bing;  Liu, Xiao;  Kang, Xiao-Qing;  Gao, Fen
收藏  |  浏览/下载:4/0  |  提交时间:2019/11/26
Accurate altitude-azimuth tracking angle formulas for a heliostat with mirror-pivot offset and other fixed geometrical errors 期刊论文
Solar Energy, 2011, 卷号: 85, 期号: 5, 页码: 1091-1100
Guo, Minghuan; Wang, Zhifeng; Zhang, Jianhan; Sun, Feihu; Zhang, Xiliang
收藏  |  浏览/下载:19/0  |  提交时间:2011/12/14
Earth elevation map production and high resolution sensing camera imaging analysis (EI CONFERENCE) 会议论文
Optoelectronic Imaging and Multimedia Technology, October 18, 2010 - October 20, 2010, Beijing, China
Yang X.; Jin G.; Jiang L.; Dai L.; Xu K.
收藏  |  浏览/下载:44/0  |  提交时间:2013/03/25
The Earth's digital elevation which impacts space camera imaging has prepared and imaging has analysed. Based on matching error that TDI CCD integral series request of the speed of image motion  statistical experimental methods-Monte Carlo method is used to calculate the distribution histogram of Earth's elevation in image motion compensated model which includes satellite attitude changes  orbital angular rate changes  latitude  longitude and the orbital inclination changes. And then  elevation information of the earth's surface from SRTM is read. Earth elevation map which produced for aerospace electronic cameras is compressed and spliced. It can get elevation data from flash according to the shooting point of latitude and longitude. If elevation data between two data  the ways of searching data uses linear interpolation. Linear interpolation can better meet the rugged mountains and hills changing requests. At last  the deviant framework and camera controller are used to test the character of deviant angle errors  TDI CCD camera simulation system with the material point corresponding to imaging point model is used to analyze the imaging's MTF and mutual correlation similarity measure  simulation system use adding cumulation which TDI CCD imaging exceeded the corresponding pixel horizontal and vertical offset to simulate camera imaging when stability of satellite attitude changes. This process is practicality. It can effectively control the camera memory space  and meet a very good precision TDI CCD camera in the request matches the speed of image motion and imaging. 2010 SPIE.  
Study of removing striping noise in CCD image (EI CONFERENCE) 会议论文
ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China
Xiu J.-H.; Zhai L.-P.; Liu H.
收藏  |  浏览/下载:12/0  |  提交时间:2013/03/25
Striping noise is the common system noise during formation of image using linear array CCD and has the character of periodicity  directivity and banding distributing. It can be caused by errors in internal calibration devices  or by slight gain/offset differences among the elements that conform the array of detectors. Striping noise covers up useful information in CCD image and brings adverse effect to image interpretation. On the basis of analyzing wavelet decomposed coefficient  the regularities of distribution about striping noise in wavelet coefficient is found  thereby the method of wavelet threshold selection which is suitable to striping noise distribution is put forward. According to Donoho's method about denoising using wavelet  the image including striping noise is processed. Comparing the power spectrum of processed image with the one of original image polluted by striping noise in frequency field  we find pulse brought by striping noise is removed and the goal which reserves image details and reduces stripes is achieved.  


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