• DocumentCode
    965526
  • Title

    An Adaptive Contoured Window Filter for Interferometric Synthetic Aperture Radar

  • Author

    Yu, Qifeng ; Yang, Xia ; Fu, Sihua ; Liu, Xiaolin ; Sun, Xiangyi

  • Author_Institution
    Coll. of Aerosp. Eng., Nat. Univ. of Defense Technol., Changsha
  • Volume
    4
  • Issue
    1
  • fYear
    2007
  • Firstpage
    23
  • Lastpage
    26
  • Abstract
    An adaptive contoured window filter is proposed to filter off the noise from phase images of interferometric synthetic aperture radar (InSAR) in this letter. The contoured windows can best satisfy the requirement that constrains the phase signal constant inside windows on which low-pass filtering can remove the noise well while the fringe phases are well preserved. The contoured windows are determined by tracing along the local fringe orientation. An algorithm for determining window sizes adaptive to the fringe density is also proposed. The theoretical analysis and experiments prove that the proposed filter can greatly remove decorrelation noise while preserving the fringe phase well, even for those fringes with strong curvatures for InSAR processing
  • Keywords
    decorrelation; interference suppression; low-pass filters; radar interferometry; remote sensing by radar; synthetic aperture radar; InSAR; adaptive contoured window filter; decorrelation noise; fringe curvature; fringe density; fringe phase; interferometric synthetic aperture radar; local fringe orientation; low pass filtering; phase image noise; phase signal constant; Adaptive filters; Decorrelation; Earth; Filtering; Low pass filters; Optical filters; Phase noise; Signal to noise ratio; Sun; Synthetic aperture radar interferometry; Adaptive filter; contoured window filter; decorrelation noise; interferometric synthetic aperture radar (InSAR); noise suppression;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1545-598X
  • Type

    jour

  • DOI
    10.1109/LGRS.2006.883527
  • Filename
    4063315