Application of Rough Set Theory in Geodesic Data Processing

被引：0
作者：
Gu Sheng [1 ,2 ]
Wei Jiaolong [1 ]
Guo Jing [2 ]
机构：
[1] Huazhong Univ Sci & Technol, Wuhan 430074, Peoples R China
[2] Beijing Aerosp Control Ctr, Beijing 100094, Peoples R China
来源：
INTERNATIONAL CONFERENCE ON SPACE INFORMATION TECHNOLOGY 2009 | 2010年 / 7651卷
关键词：
Rough set; CE-1; satellite; Data preprocessing;
D O I：
10.1117/12.855490
中图分类号：
V [航空、航天];
学科分类号：
08 ; 0825 ;
摘要：
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.
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页数：7
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