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	Data preprocessing of the exterior field of vision assembling photogrammetric camera (EI CONFERENCE) 会议论文 OAI收割 3rd International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment, July 8, 2007 - July 12, 2007, Chengdu, China 作者: Li J.; Li J.; Li J.; Liu J.; Liu J. 收藏 \| 浏览/下载：78/0 \| 提交时间：2013/03/25 Transmit array photogrammetric camera can obtain image which is high geometric fidelity and high photogrammetric quality. However the single chip array CCD image sensor camera can't meet the need of measuring precision and photogrammetric covering area. In order to obtain large numbers of information and extensive photogrammetric covering area we must increase field of vision angle and improve photogrammetric covering area. And all these objects can be realized by exterior field of vision assembling photogrammetric camera. Two side work must be done before images which obtained by exterior field of vision assembling photogrammetric camera be used in photogrammetry. First all assembling camera focal plane need be converted to a benchmark coordinate focal plane to realize camera digital assembling. Second images must be re-sampled and processing. Because of coordinate conversion two images from different assembling cameras can be established function relation which a pixel of image from a camera is corresponding to a pixel of another image from different camera. But through this conversion some pixels maybe extrusion together and other pixels separate on an image area. So interpolation direction finding(IDF) is used to obtain these pixels and realize image re-sampling. In this paper the structure of exterior field of vision assembling photogrammetric camera is analyzed and the coordinate conversion method of exterior field of vision assembling photogrammetric camera and image gray re-sampling method also can be discussed. All the works are based to data pretreatment of exterior vision assembling photogrammetric camera.
	Design of GPS/INS integrated navigation system based on multisensor information fusion (EI CONFERENCE) 会议论文 OAI收割 6th World Congress on Intelligent Control and Automation, WCICA 2006, June 21, 2006 - June 23, 2006, Dalian, China Chunmei H.; Yantao T.; Wanxin S.; Mao L. 收藏 \| 浏览/下载：38/0 \| 提交时间：2013/03/25 Two kinds of design methods of GPS/INS integrated navigation system are presented that is GPS/INS integrative system and integrated navigation system based on information fusion. By analyzing mathematics model of the first system error we found that inertia velocity error would cause code loop track error. Consequently the pseudo range meterage error is interrelated with inertia velocity error which is complex to calculate. If this relativity is ignored in the state equation and observation equation of this system it must affect the estimated precision of the kalman filter and maybe the system is unstable. Therefore the second integrated navigation method is introduced. It adopts information fusion federal kalman filter and covariance. And consider the above pertinence to analyze the navigation performance of the integration system. Then it gives the flow of federal kalman filter algorithm. By analyzing the conclusion is that velocity error of integrated navigation system drops from 0.5m/s to below 0.05m/s and improves the precision and reliability of the navigation system effectively well continuity and real-time capability. It provides an effective way for data analysis and process of fusion navigation system. 2006 IEEE.
	关系模型中不确定信息与可能信息的引入与处理期刊论文 OAI收割计算机科学, 1995, 卷号: 22, 期号: 3, 页码: 79-81 作者: 严丽; 马宗民; 薛劲松 \| 收藏 \| 浏览/下载：21/0 \| 提交时间：2010/11/29 Incomplete Relational Database Indefinite Information Maybe Information Relational Algebra Update