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Proceedings Paper

Estimation of aim point for endgame based on IR image sequence
Author(s): Hongbo Wang; Zhihong Zhuang; Huali Zheng; Qingtai Zhang
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Paper Abstract

Because of the limit of finite missile time response and the field of view (FOV) of imaging infrared (IR) seeker during the endgame of an intercept, the image of the fighter grows larger gradually and finally will overflow the FOV as the missle approaches the fighter. It then results in losing control of the seeker and affecting the precision of burst control of imaging IR fuze based upon the guidance integrated fuzing (GIF) technology. The aim of the research presented in this paper is to decrease the blind range of imaging IR seeker and improve the precision of aim-point parameters through pose recognition. On the basis of the moving characters of missle and fighter during high-speed encounter and the high correlation of frame to frame in image sequence obtained b imaging IR seeker, a novel method of fighter axis pose recognition and aim-point estimation is proposed. Within this methodology, the spatial pose of fighter axis is recognized before the image overflow the FOV, and then the tracking mode of seeker is transformed from general tracking mode to partial image tracking mode in right time. During partial image tracking, the seeker is controlled to keep the partial image track point in the FOV, then the aim-point parameters can be calculated accurately by utilizing the fighter axis pose, parameters of track point and the relative distance of track point and aim-point.

Paper Details

Date Published: 25 September 2003
PDF: 4 pages
Proc. SPIE 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition, (25 September 2003); doi: 10.1117/12.539849
Show Author Affiliations
Hongbo Wang, Nanjing Univ. of Science and Technology (China)
Zhihong Zhuang, Nanjing Univ. of Science and Technology (China)
Huali Zheng, Nanjing Univ. of Science and Technology (China)
Qingtai Zhang, Nanjing Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 5286:
Third International Symposium on Multispectral Image Processing and Pattern Recognition
Hanqing Lu; Tianxu Zhang, Editor(s)

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