• DocumentCode
    1410919
  • Title

    A relative clutter metric

  • Author

    Meitzler, T. ; Gerhart, G. ; Singh, H.

  • Author_Institution
    TARDEC, Warren, MI, USA
  • Volume
    34
  • Issue
    3
  • fYear
    1998
  • fDate
    7/1/1998 12:00:00 AM
  • Firstpage
    968
  • Lastpage
    976
  • 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 infrared community as being the best. We develop a new clutter metric, called relative clutter, which is 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. The relative clutter of many images is analyzed
  • Keywords
    clutter; correlation theory; eigenvalues and eigenfunctions; infrared imaging; object detection; optical tracking; probability; correlation matrix; factor analysis; human-in-the-loop target acquisition; infrared images; machine target acquisition; relative clutter metric; statistical analysis; target detection; Eigenvalues and eigenfunctions; Image analysis; Image processing; Layout; Measurement standards; Pixel; Probability; Statistical analysis; Vehicles;
  • fLanguage
    English
  • Journal_Title
    Aerospace and Electronic Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9251
  • Type

    jour

  • DOI
    10.1109/7.705903
  • Filename
    705903