Detection Probability Using Relative Clutter in Infrared Images

Abstract

Clutter plays a very important role in the area of machine and human-in-the-loop target acquisition. A great deal of interest has recently been shown in assessing several different definitions of clutter. In spite of so many definitions available, no single clutter definition has been agreed on by the target acquisition modeling community as being the best. In this paper, we develop a new clutter metric, called relative clutter, based on factor analysis which is extensively used for statistical analysis. This relative clutter combines many definitions of clutter. Different methods for calculating the relative clutter based on the magnitude of the eigenvalues obtained from the correlation matrix are suggested in this paper. The relative clutter of many images is analyzed. The relative clutter is used to calculate probability of detection on Night Vision Lab (NVL) Terrain Board Infrared (IR) images

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1998
Accession Number
ADA484820

Entities

People

  • E. Sohn
  • Grant Gerhart
  • Harpreet Singh
  • Thomas Meitzler

Organizations

  • Tank-automotive and Armaments Command

Tags

Communities of Interest

  • Sensors

DTIC Thesaurus Topics

  • Acquisition
  • Algorithms
  • Computations
  • Detection
  • Detectors
  • Eigenvalues
  • Eigenvectors
  • Engineering
  • Factor Analysis
  • False Alarms
  • Image Processing
  • Images
  • Infrared Images
  • Probability
  • Standards
  • Target Acquisition
  • Visual Perception

Fields of Study

  • Engineering

Readers

  • Computational Modeling and Simulation
  • Image Processing and Computer Vision.
  • Radar Systems Engineering.