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Volume 39 Issue 7
Jul.  2017
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WANG Min, ZHAO Jinyu, CHEN Tao, CUI Bochuan. Moving Point Object Detection from Faint Space Based on Temporal-spatial Domain[J]. Journal of Electronics & Information Technology, 2017, 39(7): 1578-1584. doi: 10.11999/JEIT161044
Citation: WANG Min, ZHAO Jinyu, CHEN Tao, CUI Bochuan. Moving Point Object Detection from Faint Space Based on Temporal-spatial Domain[J]. Journal of Electronics & Information Technology, 2017, 39(7): 1578-1584. doi: 10.11999/JEIT161044

Moving Point Object Detection from Faint Space Based on Temporal-spatial Domain

doi: 10.11999/JEIT161044
Funds:

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)

  • Received Date: 2016-10-12
  • Rev Recd Date: 2017-02-27
  • Publish Date: 2017-07-19
  • 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.
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