• DocumentCode
    332675
  • Title

    High resolution radar imaging systems with robust image restoration

  • Author

    Voloshynovskiy, Sviatoslav ; Grytskiv, Zenon ; Allen, Alastair

  • Author_Institution
    Fac. of Radio Eng., L´´vov State Univ., Ukraine
  • Volume
    3
  • fYear
    1998
  • fDate
    20-22 May 1998
  • Firstpage
    876
  • Abstract
    The paper presents a robust approach to image restoration that combines the properties of classical regularized iterative algorithms and robust features based on the concept of M-estimators. The approach takes into consideration the peculiarities of radar image formation to provide optimal noise removal and image restoration including suppression of ringing, and preservation of edges and fine details
  • Keywords
    estimation theory; filtering theory; image restoration; iterative methods; radar imaging; radar resolution; M-estimators; high resolution radar imaging systems; optimal noise removal; regularized iterative algorithms; ringing suppression; robust image restoration; Antenna measurements; Apertures; Degradation; Gaussian noise; Image resolution; Image restoration; Noise measurement; Noise robustness; Radar imaging; Radar remote sensing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Microwaves and Radar, 1998. MIKON '98., 12th International Conference on
  • Conference_Location
    Krakow
  • Print_ISBN
    83-906662-0-0
  • Type

    conf

  • DOI
    10.1109/MIKON.1998.742845
  • Filename
    742845