Contrasted statistical processing algorithm for obtaining improved target detection performances in infrared cluttered environment

Zeev Zalevsky, David Mendlovic, Ehud Rivlin, Stanley Rotman

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

A contrasted statistical processing approach to obtain improved probabilities of false alarm when performing automatic target detection is presented. The technique is based on analyzing each sector of the image and comparing it with surrounding windows in which the desired statistical property is calculated. The contrast of the statistical property is extracted using the prediction or the prediction-correction equations. The contrast of the statistical property is shown to be a good discriminator of the target from its background allowing the reduction of the detection threshold applied over the stationary region while maintaining a constant false alarm probability.

Original languageEnglish
Pages (from-to)2609-2617
Number of pages9
JournalOptical Engineering
Volume39
Issue number10
DOIs
StatePublished - 1 Oct 2000

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics
  • Engineering (all)

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