Application of Rough Set Theory in Geodesic Data Processing
A novel knowledge discovery model, CEDPRS (CE-1 Satellite Data Preprocessing Rough Set), is presented for CE-1 satellite tracking data preprocessing. In order to develop CEDPRS, rough set is chosen as the theoretical tool for its good performance in knowledge discovery, and so are characteristics of the data as well as practical experiences. Then, good diagnosis rules are provided for the discovery and disposal of fault data as a result of CEDPRS applied to tracking data Preprocessing. Experimental results are obtained by introducing real task data, which demonstrate that the proposed CEDPRS model is sufficiently accurate and effective in satellite tracking data preprocessing.
Rough set CE-1 satellite Data preprocessing
Gu Sheng Wei Jiaolong Guo Jing
Huazhong University of Science and Technology, Wuhan 430074 Beijing Aerospace Control Center, Beijin Huazhong University of Science and Technology, Wuhan 430074 Beijing Aerospace Control Center, Beijing 100094, China
国际会议
International Conference on Space Information Technology 2009(2009年第三届空间信息技术国际会议)
北京
英文
1-7
2009-11-26(万方平台首次上网日期,不代表论文的发表时间)