• DocumentCode
    2263314
  • Title

    Comparison of decompositions for pol-SAR image interpretation

  • Author

    Hellmann, M. ; Krogager, E.

  • Author_Institution
    Danish Defence Res. Establ., Copenhagen, Denmark
  • Volume
    3
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    1313
  • Abstract
    A unique option provided by fully polarimetric data is the possibility to separate scattering contributions of different nature. For this purpose several decomposition techniques have been derived, and are currently being applied to analyze and interpret polarimetric radar data. In this paper, various decompositions with applications to radar polarimetry are reviewed, and an attempt is made to assess their applicability to POLSAR data analysis, especially in relation to target identification and classification
  • Keywords
    geophysical signal processing; geophysical techniques; radar imaging; radar polarimetry; remote sensing by radar; synthetic aperture radar; terrain mapping; POLSAR; SAR; classification; decomposition; geophysical measurement technique; image interpretation; land surface; pol-SAR; radar imaging; radar polarimetry; radar remote sensing; synthetic aperture radar; target identification; terrain mapping; Anisotropic magnetoresistance; Covariance matrix; Entropy; L-band; Matrix decomposition; Radar polarimetry; Radar scattering; Reflection; Spatial resolution; Voltage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2000. Proceedings. IGARSS 2000. IEEE 2000 International
  • Conference_Location
    Honolulu, HI
  • Print_ISBN
    0-7803-6359-0
  • Type

    conf

  • DOI
    10.1109/IGARSS.2000.858104
  • Filename
    858104