基于时空域的暗弱空间运动点目标检测算法

doi:10.11999/JEIT161044

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Abstract

To accurately locate, track space targets, and establish targets trajectory, a study on moving target detection based on motion information for star maps is practiced. Firstly, a new model to characterize the space moving target is constructed, then an algorithm for moving point target detection is proposed based on correlation coefficient matrix statistical information. Based on the detection method, target motion trajectory is finally extracted and the velocity estimation model of the moving target is built. This paper also proposes an evaluation method, which combines detection probability and false alarm probability, to verify this method. The experimental results demonstrate that the proposed method outperforms the compared methods and can achieve high detection probability while keeping low false alarm probability. Compared with simply expanding telescope diameter, this method provides a higher performance-price ratio way to improve the ability of space target detection.

Key words： Target detection Moving point target Temporal-spatial domain correlation Trajectory extraction

Received: 12 October 2016 Published: 14 April 2017

PACS:	TP391.4
	P123.46

Fund:

The National 863 Program of China (2011AA 8082035), The Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, the Third Phase of Innovative Engineering Projects (065X32CN60)

Corresponding Authors: ZHAO Jinyu E-mail: zhaojy@ciomp.ac.cn

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	WANG Min
	ZHAO Jinyu
	CHEN Tao
	CUI Bochuan

Cite this article:

WANG Min,ZHAO Jinyu,CHEN Tao等. Moving Point Object Detection from Faint Space Based on Temporal-spatial Domain[J]. JEIT, 2017, 39(7): 1578-1584.

URL:

http://jeit.ie.ac.cn/EN/10.11999/JEIT161044 OR http://jeit.ie.ac.cn/EN/Y2017/V39/I7/1578

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