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Analysis of atmospheric pressure and temperature changes on the image quality of aerial camera (EI CONFERENCE) 会议论文
2011 International Conference on Mechatronic Science, Electric Engineering and Computer, MEC 2011, August 19, 2011 - August 22, 2011, Jilin, China
Dong B.; Tian H.-Y.
收藏  |  浏览/下载:22/0  |  提交时间:2013/03/25
This paper starts from the study of the aerial camera's work environment  analyzes the temperature and atmosphere pressure changes on aerial camera's imaging quality of influence. Point out that when the altitude of the camera changes  atmospheric pressure and temperature of constant change  so the camera's optical focal surface position changes  thus affecting the image quality of the camera  causing changes in the camera's focal surface optical  and affecting the camera's image quality. Summarize the rules that the temperature and pressure influence the image quality of the camera in aerial environment. Analyze the various environmental conditions on the impact of camera's image quality. For different types of camera  put forward the corresponding convergence compensation method  and provides a reference value to the development of the aerial camera. 2011 IEEE.  
Research on tracking approach to low-flying weak small target near the sea (EI CONFERENCE) 会议论文
ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China
Zhang S.-Y.; Liu W.-N.; Xue X.-C.
收藏  |  浏览/下载:25/0  |  提交时间:2013/03/25
Automatic target detection is very difficult in complicate background of sea and sky because of the clutter caused by waves and clouds nearby the sea-level line. In this paper  in view of the low-flying target near the sea is always above the sea-level line  we can first locate the sea-level line  and neglect the image data beneath the sea-level line. Thus the noise under the sea-level line can be suppressed  and the executive time of target segmentation is also much reduced. A new method is proposed  which first uses neighborhood averaging method to suppress background and enhance targets so as to increase SNR  and then uses the multi-point multi-layer vertical Sobel operator combined with linear least squares fitting to locate the sea-level line  lastly uses the centroid tracking algorithm to detect and track the target. In the experiment  high frame rate and high-resolution digital CCD camera and high performance DSP are applied. Experimental results show that this method can efficiently locate the sea-level line on various conditions of lower contrast  and eliminate the negative impact of the clutter caused by waves and clouds  and capture and track target real-timely and accurately.  
A recognition method for 2D bar codes in various imaging conditions (CPCI-S收录) 会议论文
Proceedings of 2006 International Conference on Artificial Intelligence: 50 YEARS' ACHIEVEMENTS, FUTURE DIRECTIONS AND SOCIAL IMPACTS
作者:  Liang, Ying-hong;  Wang, Zhi-yan;  Wu, Zhi-cheng;  Xu, Gao-wei
收藏  |  浏览/下载:5/0  |  提交时间:2019/04/18


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