Analyzing point target detection algorithms

S. Adar, S. Buganim, S. R. Rotman

Research output: Contribution to journalConference articlepeer-review

1 Scopus citations


We present a method to evaluate point target detection algorithms. For any particular algorithm, a datacube without a target is evaluated with each pixel being assigned a score; the highest scores belong to those points which are potential false alarms. We then systematically implant a selected target signature into every pixel in the image and evaluate the resulting scores; the lowest scores are those pixels in which the target may be missed. ROC curve analysis can then be made. In this paper, we evaluate a new algorithm which we have developed; we use the evaluation of this algorithm as a paradigm for the efficacy of our algorithm evaluation tool.

Original languageEnglish
Article number59870T
JournalProceedings of SPIE - The International Society for Optical Engineering
StatePublished - 1 Dec 2005
EventElectro-Optical and Infrared Systems: Technology and Applications II - Bruges, Belgium
Duration: 26 Sep 200527 Sep 2005


  • Hyperspectral imagery
  • Point target detection

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


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