• DocumentCode
    2935161
  • Title

    SAR systems resolution reviewed for target classification in knowledge-based environment

  • Author

    Martin, N.S.

  • Author_Institution
    Knowledge-Based Eng. Syst. Group, Univ. of South Australia, Adelaide, SA, Australia
  • fYear
    1995
  • fDate
    23-25 May 1995
  • Firstpage
    177
  • Lastpage
    183
  • Abstract
    The knowledge based approach to synthetic aperture radar systems which is presented, considers how to utilise given equipment to perform the classification function, rather than providing an image of photographic like resolution for the purpose. The paper shows that dithering multiple carrier centre frequencies results in optimum use of the SAR waveform. Enhanced slant range resolution is achieved whilst maintaining the same analog to digital convertor bandwidth and data storage size. The system´s capacity as a classifier of targets of large radar cross section is greatly improved even though the corresponding image is degraded
  • Keywords
    image classification; knowledge based systems; radar computing; radar imaging; synthetic aperture radar; SAR systems resolution; SAR waveform; analog to digital convertor bandwidth; classification function; data storage size; dithering multiple carrier centre frequencies; knowledge based approach; knowledge-based environment; large radar cross section; slant range resolution; synthetic aperture radar systems; target classification; Australia; Converters; Degradation; Frequency conversion; Hardware; Image resolution; Memory; Radar cross section; Radar imaging; Synthetic aperture radar;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronic Technology Directions to the Year 2000, 1995. Proceedings.
  • Conference_Location
    Adelaide, SA
  • Print_ISBN
    0-8186-7085-1
  • Type

    conf

  • DOI
    10.1109/ETD.1995.403506
  • Filename
    403506