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Chinese Academy of Sciences Institutional Repositories Grid
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小型无人直升机动力学建模、辨识及鲁棒飞行控制系统设计与优化研究 学位论文  OAI收割
工学博士, 中国科学院自动化研究所: 中国科学院研究生院, 2010
作者:  
王晓东
收藏  |  浏览/下载:205/0  |  提交时间:2015/09/02
Method of improving the accuracy of image motion measurement for panoramic aerial cameras (EI CONFERENCE) 会议论文  OAI收割
5th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optoelectronic Materials and Devices for Detector, Imager, Display, and Energy Conversion Technology, April 26, 2010 - April 29, 2010, Dalian, China
作者:  
Jia P.
收藏  |  浏览/下载:25/0  |  提交时间:2013/03/25
To improve the accuracy of image motion measurement for panoramic aerial cameras  the paper proposed a method of real-time image motion measurement based on 2D spatial correlation. An auxiliary area CCD is positioned paralleled to the main linear TDI CCD in the focal plane of the camera. For every frame of the image sequence taken by the auxiliary CCD  a prediction on the displacement of the current image in the flight direction is made based on the forward image motion velocity. The current and the reference images are combined together for 2D-correlation  which products an image motion vector. By decomposing the vector  both the forward and pendulum-swing image motions can be determined. The demanding computational requirements for the real-time 2D-correlation are covered by a joint transform optical correlator. Simulation test results show that the accuracy is improved and the measurement error is within 0.2 pixels for input images with SNR=1 dB. 2010 Copyright SPIE - The International Society for Optical Engineering.  
Research of error correction of LEO satellite orbit prediction for vehicle-borne tracking and position device (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
作者:  
Wang J.-J.;  Guo L.-H.
收藏  |  浏览/下载:32/0  |  提交时间:2013/03/25
Vehicle-borne tracking and position device is used to track LEO satellite. Because of the absence of the target which might be caused by cloud or zenith blind zone  the forecasting data will be used to acquire the target. While orbit prediction has serious errors  the target is always missed. Meanwhile  in its application to the vehicle-borne tracking and position device  due to the base of instability in the tracking process  it will result in significant difference between predicting data and tracking data  so the target will be not tracked rapidly. We applied tracking data to predict satellite orbits by improving Laplace method  and then corrected the error between Predicted data and actual measured data by interpolation method of Lagrange which improves the accuracy of prediction values. The testing data shows the accuracy of predicted data ranging from 3' to 10" for both azimuth and elevation when extrapolated satellite orbit to 7 seconds time. 2010 IEEE.  
Forecasting China's foreign trade volume with a kernel-based hybrid econometric-AI ensemble learning approach 期刊论文  OAI收割
JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY, 2008, 卷号: 21, 期号: 1, 页码: 1-19
作者:  
  |  收藏  |  浏览/下载:21/0  |  提交时间:2018/07/30
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