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	Study on supper resolution reconstruction based on staggered arrays (EI CONFERENCE) 会议论文 OAI收割 2011 International Conference on Electronic and Mechanical Engineering and Information Technology, EMEIT 2011, August 12, 2011 - August 14, 2011, Harbin, China Yuan Z.; Xing Z.; Guang J. 收藏 \| 浏览/下载：32/0 \| 提交时间：2013/03/25 The image resolution can be improved without increasing the requirement to optical imaging systems' parameters and decreasing the size of CCD pixel by staggered arrays technology which arranges several CCDs in a specific mode. In this paper an image super resolution method of improving the image resolution for 1.5 times both in two directions by 4 linear arrays staggered based on this technology is presented which avoids the large computation in a single time by use of circulation method. This method is proved effective by the digital simulation and a simulated experiment platform is constructed to test its feasibility. The image resolution is improved for 1.42 times of the unreconstructed image according to the imaging experiment of resolution chart which is closed to 1.5 times in ideal case. And also the reconstructed and unreconstructed images are evaluated by the image information entropy which proves that the reconstructed image contains more information. 2011 IEEE.
	Development of geo-concentrated and continuous areas with special difficulties in Western china: Comprehensive evaluation and regional division 会议论文 OAI收割 2011 International Conference on Remote Sensing, Environment and Transportation Engineering, RSETE 2011, Nanjing, China, June 24, 2011 - June 26, 2011 Wang, Liang(王亮); Liu, Weidong; Yu, Jinyan 收藏 \| 浏览/下载：35/0 \| 提交时间：2012/05/22 Comprehensive evaluation Geo-concentrated and continuous Improved Entropy Method Regional division Special difficulty Western China Entropy Regional planning
	Algorithm of image enhancement based on order morphology transformation (EI CONFERENCE) 会议论文 OAI收割 2009 International Forum on Information Technology and Applications, IFITA 2009, May 15, 2009 - May 17, 2009, Chengdu, China 作者: Liu Y.; Liu Y.; Liu Y. 收藏 \| 浏览/下载：24/0 \| 提交时间：2013/03/25 A method based Tsallis entropy and order morphology transform for gray image enhancement is proposed in this article. The order morphology transform method improves the evaluation guide of transform and chose the percentile value and structure B value by the Maximum Tsallis entropy of the area where the coefficient q is 0.8 enhances the gray image. Experiments show that the method enhances the image contrast and suppressing noise and extracting edge. The histogram and gray value show that the image contrast is improved. 2009 IEEE.
	An improved two-dimensional entropy method for star trail tracing in deep sky (EI CONFERENCE) 会议论文 OAI收割 ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China 作者: Wang Y.-J.; Yao Z.-J. 收藏 \| 浏览/下载：51/0 \| 提交时间：2013/03/25 The trace of star trail is an important component of deep sky detection. The stars are low contrast targets and their self-rotation will make their brightness change in cycle. Above all the trail trace is vulnerable to the block and disturbance of other stars. Traditional one-dimensional maximum entropy thresholding algorithm is vulnerable to the noise and the calculation of two-dimensional entropy methods is too large and takes too much time. This paper proposes an improved two-dimensional entropy threshold algorithm. We use recursion iteration method to eliminate the redundancy calculation and reduce the size of two-dimensional histogram based on the deep sky stars characteristic such as low contrast fuzziness and the centralized histogram. We also combine our algorithm with the space trail trace model to forecast the star trace. Experiments results show when the star are blocked or they turn dark the method still can well extrapolate the star trace. Our method improves the capability of trailing the ebb and small star and increases the precision of tracing. It is also robust to the noise so there is a good application foreground for the method.