Skip to main content
Detection of unresolved target tracks in infrared imagery
Visual Communications and Image Processing '91 (1991)
  • Sarah A. Rajala, North Carolina State University
  • Loren W. Nolte, Duke University
  • James V. Aanstoos

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.

Publication Date
November 1, 1991
Copyright 1991 Society of Photo-Optical Instrumentation Engineers. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.
Citation Information
Sarah A. Rajala, Loren W. Nolte and James V. Aanstoos. "Detection of unresolved target tracks in infrared imagery" Visual Communications and Image Processing '91 (1991)
Available at: