Detection of unresolved target tracks in infrared imagery

Sarah A. Rajala; Loren W. Nolte; James V. Aanstoos

doi:10.1117/12.50334

1 November 1991 Detection of unresolved target tracks in infrared imagery

Sarah A. Rajala; Loren W. Nolte; James V. Aanstoos

Author Affiliations +

Proceedings Volume 1606, Visual Communications and Image Processing '91: Image Processing; (1991) https://doi.org/10.1117/12.50334
Event: Visual Communications, '91, 1991, Boston, MA, United States

Abstract

Two methods for detecting dim, unresolved target tracks in infrared imagery are presented. Detecting such targets in a sequence of noisy images is very challenging from the standpoint of algorithm design as well as detection performance evaluation. Since the signal-to-noise ratio per pixel is very low (a dim target) and the target is unresolved (of spatial extent less than a pixel), one must rely on integration over target tracks which span over many image frames. In addition, since there is a large amount of uncertainty as to the pattern and location of target tracks, good algorithms must consider a large number of possibilities. The first method is based on a generalization of the Hough transform-based algorithm using the Radon transform. The second approach is an extension of a detection theory algorithm to 3-D. Both algorithms use a 3-D volume of spatial-temporal data.

Citation Download Citation

Sarah A. Rajala, Sarah A. Rajala, Loren W. Nolte, Loren W. Nolte, James V. Aanstoos, James V. Aanstoos, } "Detection of unresolved target tracks in infrared imagery", Proc. SPIE 1606, Visual Communications and Image Processing '91: Image Processing, (1 November 1991); doi: 10.1117/12.50334; https://doi.org/10.1117/12.50334

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