• DocumentCode
    1341980
  • Title

    Polarimetric SAR image fusion using nonnegative matrix factorisation and improved-RGB model

  • Author

    Guo, Renjia ; Zhang, Leiqi ; Xing, Mengdao ; Li, Jie

  • Author_Institution
    Nat. Key Lab. for Radar Signal Process., Xidian Univ., Xian, China
  • Volume
    46
  • Issue
    20
  • fYear
    2010
  • Firstpage
    1399
  • Lastpage
    1401
  • Abstract
    Since different polarimetrie channels have different dynamical ranges, nonnegative matrix factorisation (NMF) is explored for fusing polarimetric SAR (PolSAR) data in a single colour image. The data of the three polarimetric channels (HH, HV and VV) with total power (TP) data is fully utilised to implement the NMF, and the choice of normalised factors for different polarimetric channels based on the same probability is applied, which produces an improved-RGB model. Combining the improved-RGB model with NMF, this approach brings in fusion images with higher spatial resolution and the power component preserved.
  • Keywords
    image fusion; matrix decomposition; probability; radar imaging; radar polarimetry; synthetic aperture radar; improved-RGB model; nonnegative matrix factorisation; polarimetrie SAR image fusion; polarimetrie channels;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el.2010.1476
  • Filename
    5593975