• DocumentCode
    2151570
  • Title

    State-of-the-art of SAR automatic target recognition

  • Author

    Novak, L.M.

  • Author_Institution
    Lincoln Lab., MIT, Lexington, MA, USA
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    836
  • Lastpage
    843
  • Abstract
    MIT Lincoln Laboratory is responsible for developing the ATR (automatic target recognition) system for the DARPA-sponsored SAIP program; the baseline ATR system recognizes 10 GOB (ground order of battle) targets; the enhanced version of SAIP requires the ATR system to recognize 20 GOB targets. This paper presents ATR performance results for 10- and 20-target MSE classifiers using high-resolution SAR (synthetic aperture radar) imagery
  • Keywords
    mean square error methods; military radar; pattern classification; radar imaging; radar resolution; radar target recognition; synthetic aperture radar; ATR system; DARPA; GOB targets; MIT Lincoln Laboratory; MSE classifiers; SAIP program; automatic target recognition; ground order of battle; high-resolution SAR; performance; radar imagery; synthetic aperture radar; Fuels; Hidden Markov models; Image resolution; Image sensors; Laboratories; Mean square error methods; Sensor systems; Synthetic aperture radar; Target recognition; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radar Conference, 2000. The Record of the IEEE 2000 International
  • Conference_Location
    Alexandria, VA
  • Print_ISBN
    0-7803-5776-0
  • Type

    conf

  • DOI
    10.1109/RADAR.2000.851944
  • Filename
    851944