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Proceedings Paper

Application of rough set theory in geodesic data processing
Author(s): Sheng Gu; Jiaolong Wei; Jing Guo
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Paper Abstract

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.

Paper Details

Date Published: 2 April 2010
PDF: 7 pages
Proc. SPIE 7651, International Conference on Space Information Technology 2009, 76510Y (2 April 2010); doi: 10.1117/12.855490
Show Author Affiliations
Sheng Gu, Huazhong Univ. of Science and Technology (China)
Beijing Aerospace Control Ctr. (China)
Jiaolong Wei, Huazhong Univ. of Science and Technology (China)
Jing Guo, Beijing Aerospace Control Ctr. (China)

Published in SPIE Proceedings Vol. 7651:
International Conference on Space Information Technology 2009
Xingrui Ma; Baohua Yang; Ming Li, Editor(s)

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