Share Email Print
cover

Proceedings Paper

Moving-point-target tracking in low SNR
Author(s): Zhenkang Shen; Xuguang Mao; Yiping Jin
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

A three-dimensional moving target appears as a weak point in an image when it is observed by an optic system at a great distance. It is difficult to detect the target from image sequences in succession. In this paper, a new method is proposed. Its basic idea is energy accumulation, in which the image sequences containing the point target are shifted along a track and stacked up, and then the criterion of decide-in-segment and the method of auto-increasing thresholds as well as some other methods are employed to increase target detectability and reduce calculus. The result, which is similar to the one generated by accumulating over image sequences containing a motionless target, is obtained in this algorithm. The computer-simulated experimental result is given on the condition of SNR (signal-to-noise ratios), 6 db in white Gaussian background noise. It indicates that the moving point target (MPT) can be detected and tracked exactly in low SNR in the algorithm.

Paper Details

Date Published: 1 August 1991
PDF: 8 pages
Proc. SPIE 1481, Signal and Data Processing of Small Targets 1991, (1 August 1991); doi: 10.1117/12.45654
Show Author Affiliations
Zhenkang Shen, Changsha Institute of Technology (China)
Xuguang Mao, Changsha Institute of Technology (China)
Yiping Jin, Changsha Institute of Technology (China)


Published in SPIE Proceedings Vol. 1481:
Signal and Data Processing of Small Targets 1991
Oliver E. Drummond, Editor(s)

© SPIE. Terms of Use
Back to Top