• DocumentCode
    51366
  • Title

    Interferometric Phase Denoising by Median Patch-Based Locally Optimal Wiener Filter

  • Author

    Mingyu Cao ; Shiqiang Li ; Wang, Robert ; Ning Li

  • Author_Institution
    Dept. of Space Microwave Remote Sensing Syst., Inst. of Electron., Beijing, China
  • Volume
    12
  • Issue
    8
  • fYear
    2015
  • fDate
    Aug. 2015
  • Firstpage
    1730
  • Lastpage
    1734
  • Abstract
    This letter presents a new filtering technique for interferometric synthetic aperture radar (InSAR) phase images. Traditional local denoising algorithms all suffer from the drawback of removing texture detail information. In contrast, several nonlocal methods have attained good performance in InSAR applications. However, these methods only take radiometric similarity. The patch-based locally optimal Wiener filter (PLOW) utilizes both geometrically and radiometrically similar patch information by clustering analysis and nonlocal filtering; thus, it can better balance between detail preservation and denoising. Nevertheless, PLOW itself is not fitted for InSAR. In this letter, we modify and improve the original algorithm while considering the coherence coefficient and the characteristics of InSAR. This new method provides better filtering results, but with a higher computational cost. Moreover, we introduce the box dimension in fractal geometry as a new index. Experiments on simulated and real data demonstrate that this algorithm outperforms traditional denoising methods.
  • Keywords
    Wiener filters; fractals; image filtering; image texture; pattern clustering; radar imaging; radar interferometry; radiometry; synthetic aperture radar; InSAR phase imaging; PLOW; clustering analysis; fractal geometry; image texture removal; interferometric phase denoising; interferometric synthetic aperture radar phase imaging; median patch-based locally optimal Wiener filter; nonlocal filtering; radiometric; Algorithm design and analysis; Coherence; Indexes; Nickel; Noise; Noise reduction; Synthetic aperture radar; Box dimension; Wiener filters; interferometric synthetic aperture radar (InSAR) denoising; nonlocal;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1545-598X
  • Type

    jour

  • DOI
    10.1109/LGRS.2015.2422788
  • Filename
    7100863