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	Learning to Improve Operational Efficiency from Pose Error Estimation in Robotic Pollination 期刊论文 OAI收割 ELECTRONICS, 2024, 卷号: 13, 期号: 15, 页码: 14 作者: Chen, Jinlong; Xiao, Jun; Yang, Minghao; Pan, Hang \| 收藏 \| 浏览/下载：20/0 \| 提交时间：2024/09/09 pollination robot transformer offset errors
	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 OAI收割 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：67/0 \| 提交时间：2022/01/17 VLBI deflection of the vertical reference point axis-related errors axis offset
	GNSS time offset monitoring based on the single difference among systems 期刊论文 OAI收割 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：24/0 \| 提交时间：2020/11/09 delays satellite navigation radio receivers Global Positioning System GNSS time single difference time offset monitoring multiple Global Navigation Satellite Systems compatibility interoperability conventional signal space approaches single-point positioning SPP precise point positioning single-difference point positioning SDPP receiver clock parameter common model errors estimated time smooth estimation time offset estimation different stations system biases
	Earth elevation map production and high resolution sensing camera imaging analysis (EI CONFERENCE) 会议论文 OAI收割 Optoelectronic Imaging and Multimedia Technology, October 18, 2010 - October 20, 2010, Beijing, China 作者: Dai L. 收藏 \| 浏览/下载：141/0 \| 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 OAI收割 ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China 作者: Liu H.; Liu H. 收藏 \| 浏览/下载：17/0 \| 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.