• DocumentCode
    1365673
  • Title

    Feature Enhancement of Stripmap-Mode SAR Images Based on an Optimization Scheme

  • Author

    Chiang, Cheng-Yen ; Chen, Kun-Shan ; Wang, Chih-Tien ; Chou, Nien-Shiang

  • Author_Institution
    Center for Space & Remote Sensing Res., Nat. Central Univ., Chungli, Taiwan
  • Volume
    6
  • Issue
    4
  • fYear
    2009
  • Firstpage
    870
  • Lastpage
    874
  • Abstract
    Based on a nonquadratic-optimization method originally proposed for spotlight-mode SAR image reconstruction, a modification for stripmap-mode SAR images is presented in this letter. This is done by mathematically reformulating the projection kernel and numerically putting it into a form that is suitable for optimization. The performance was evaluated by measures of the target contrast and 3-dB beamwidth using Radarsat-1 data. Results were analyzed and compared with those using minimum-variance and multiple-signal-classification methods. Results demonstrate that the target´s features are effectively enhanced and that the dominant scattering centers are well separated using the proposed method. In addition, the image fuzziness is greatly reduced, and the image fidelity is well preserved. The effectiveness of the modification is thus validated.
  • Keywords
    image enhancement; image reconstruction; optimisation; radar imaging; synthetic aperture radar; feature enhancement; multiple-signal-classification method; nonquadratic-optimization method; stripmap-mode SAR image; synthetic aperture radar; Feature enhancement; minimum variance (MV); multiple signal classification (MUSIC); stripmap SAR; synthetic aperture radar (SAR);
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1545-598X
  • Type

    jour

  • DOI
    10.1109/LGRS.2009.2028038
  • Filename
    5233873