• DocumentCode
    2254149
  • Title

    MUltiSensor Target Recognition System (MUSTRS)

  • Author

    Forman, Arthur V., Jr. ; Brown, David B. ; Hughen, James H. ; Pressley, Rebecca R. ; Sanders, Albert R. ; Sullivan, Daniel J.

  • Author_Institution
    Electron. & Missiles, Martin Marietta Technol. Inc., Orlando, FL, USA
  • fYear
    1993
  • fDate
    1-3 Nov 1993
  • Firstpage
    263
  • Abstract
    The paper describes the Advanced Research Projects Agency (ARPA) MUltiSensor Target Recognition System (MUSTRS). A smart sensor manager controls forward-looking infrared (FLIR) and millimeter wave (MMW) radar sensors to obtain multiple looks at targets on the ground. Targets in IR images are recognized using a variation on minimum average correlation energy (MACE) filtering and/or a model-based algorithm called key features. Radar data are processed using quadratic distance composite filtering techniques. Evidence is combined using a Bayesian method. The system has been designed to correctly classify time critical mobile targets with very low false alarm rates
  • Keywords
    Bayes methods; correlation methods; filtering theory; image recognition; infrared imaging; military systems; radar imaging; radar signal processing; radar target recognition; sensor fusion; Bayesian method; IR images; MACE; MUSTRS; MUltiSensor Target Recognition System; false alarm rates; filtering; forward-looking infrared data; key features; millimeter wave radar sensors; minimum average correlation energy; model-based algorithm; multiple look; quadratic distance composite filtering; smart sensor manager; Bayesian methods; Filtering; Filtering algorithms; Hardware; Image recognition; Infrared sensors; Intelligent sensors; Millimeter wave radar; Millimeter wave technology; Missiles; Radar imaging; Synthetic aperture radar; Target recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems and Computers, 1993. 1993 Conference Record of The Twenty-Seventh Asilomar Conference on
  • Conference_Location
    Pacific Grove, CA
  • ISSN
    1058-6393
  • Print_ISBN
    0-8186-4120-7
  • Type

    conf

  • DOI
    10.1109/ACSSC.1993.342514
  • Filename
    342514