• DocumentCode
    3348829
  • Title

    Polarimetric contrast optimization

  • Author

    Mott, Harold

  • Author_Institution
    Alabama Univ., Tuscaloosa, AL, USA
  • Volume
    3
  • fYear
    34881
  • fDate
    10-14 Jul1995
  • Firstpage
    2011
  • Abstract
    It is often desirable to select radar antenna polarizations that maximize the contrast in received powers from two classes of scatterers. A terrain-mapping radar may use polarization to maximize the contrast between forested areas and farmland. For another radar, polarizations may be chosen to optimize an aircraft target return relative to clutter. Polarizations chosen for either purpose may give a target return that is small compared to external noise or internal receiver noise, and it may therefore be more appropriate to choose polarizations that maximize signal-to-noise ratio. An outline of methods for choosing polarizations in all of these cases is presented
  • Keywords
    S-matrix theory; backscatter; geophysical techniques; optimisation; radar cross-sections; radar polarimetry; radar theory; remote sensing by radar; S matrix; aircraft target return; backscattering covariance matrix; contrast maximisation; farmland; forest; forested area; geophysical measurement technique; land surface; polarimetric contrast optimization; polarization; radar antenna polarization; radar imaging; radar polarimetry; radar remote sensing; signal-to-noise ratio maximization; target return; terrain mapping; two classes of scatterers; vegetation mapping; Antenna accessories; Covariance matrix; Equations; Polarization; Radar antennas; Radar polarimetry; Radar scattering; Receiving antennas; Signal to noise ratio; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 1995. IGARSS '95. 'Quantitative Remote Sensing for Science and Applications', International
  • Conference_Location
    Firenze
  • Print_ISBN
    0-7803-2567-2
  • Type

    conf

  • DOI
    10.1109/IGARSS.1995.524094
  • Filename
    524094