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Proceedings Paper

Target acquisition and tracking based on a priori knowledge and an image sensor
Author(s): Zhonghua Fang; Tao Chen
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Paper Abstract

When intercepting and tracking low-observable point-source or highly maneuvering big targets, the electro-optical (E-O) system will meet a fatal problem that the target lost easily. No effective method intercepts it again according to the dispersed azimuth and elevation tracking data. First, the paper gives an intelligent ATP control system architecture based on the data mart. Then an automatic real-time control algorithm is proposed, which is found on linguistic cloud model and fuzzy logic techniques. The linguistic cloud model is used to translate a linguistic term of qualitative concept into its numerical representation, such that the ATP control system can take full advantage of a priori knowledge which is always presented in natural language to refine the results of sequence images processing. The fuzzy logic technique is adopted to associate these results to target's trajectories. The paper offers an automatic reacquisition and tracking method to solve the targets lost problem.

Paper Details

Date Published: 1 July 2002
PDF: 9 pages
Proc. SPIE 4714, Acquisition, Tracking, and Pointing XVI, (1 July 2002); doi: 10.1117/12.472595
Show Author Affiliations
Zhonghua Fang, Changchun Institute of Optics, Fine Mechanics, and Physics (China)
Tao Chen, Changchun Institute of Optics, Fine Mechanics, and Physics (China)


Published in SPIE Proceedings Vol. 4714:
Acquisition, Tracking, and Pointing XVI
Michael K. Masten; Larry A. Stockum, Editor(s)

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