• DocumentCode
    46970
  • Title

    Nonlocal Means Filter for Polarimetric SAR Data Despeckling Based on Discriminative Similarity Measure

  • Author

    Ganchao Liu ; Hua Zhong

  • Author_Institution
    Key Lab. of Intell. Perception & Image Understanding of Minist. of Educ., Xidian Univ., Xian, China
  • Volume
    11
  • Issue
    2
  • fYear
    2014
  • fDate
    Feb. 2014
  • Firstpage
    514
  • Lastpage
    518
  • Abstract
    This letter proposed a new nonlocal polarimetric synthetic aperture radar (PolSAR) filter based on discriminative similarity measure (DSM). The DSM, which is implemented in the form of maximum a posteriori (MAP), deals with the speckle and the underlying speckle-free signal of PolSAR data individually. Due to its MAP form, the DSM achieves good balance between the similarity of the speckle and the similarity of the underlying speckle-free signal. And then this balance can lead to excellent performance on both speckle smoothing and detail preservation. Results are shown to demonstrate its competence when compared with the state-of-the-art methods.
  • Keywords
    polarimetry; synthetic aperture radar; PolSAR filter; PolSAR speckle-free signal; discriminative similarity measure; nonlocal means filter; nonlocal polarimetric synthetic aperture radar filter; polarimetric SAR data despeckling; speckle-free signal; state-of-the-art methods; Covariance matrices; Estimation; Indexes; Remote sensing; Smoothing methods; Speckle; Synthetic aperture radar; Complex Wishart distribution; nonlocal means (NLM) filter; polarimetric synthetic aperture radar (PolSAR); similarity measure;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1545-598X
  • Type

    jour

  • DOI
    10.1109/LGRS.2013.2271321
  • Filename
    6562747