• DocumentCode
    1681414
  • Title

    Texture measures in SIR-C images

  • Author

    Anderson, C.

  • Author_Institution
    GEC-Marconi Res. Centre, Chelmsford, UK
  • Volume
    3
  • fYear
    1998
  • Firstpage
    1717
  • Abstract
    The ability of texture measures to separate broad land-cover classes in 25 meter resolution, multi-polarisation synthetic aperture radar (SAR) images from the SIR-C Shuttle mission is investigated. A large number of first and second order texture measures and different methods of discretising the images are examined. The results indicate that texture measures, particularly in the CHH polarisation, improve the separation between land cover classes and can assist in classification
  • Keywords
    geophysical signal processing; geophysical techniques; image classification; image texture; radar imaging; radar polarimetry; remote sensing by radar; synthetic aperture radar; CHH polarisation; SAR; SIR-C; and-cover class; geophysical measurement technique; image classification; image texture measure; land surface; radar imaging; radar polarimetry; radar remote sensing; separation; spaceborne radar; synthetic aperture radar; terrain mapping; Backscatter; Goniometers; Image resolution; Image segmentation; Layout; Particle measurements; Pixel; Polarization; Power measurement; Synthetic aperture radar;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium Proceedings, 1998. IGARSS '98. 1998 IEEE International
  • Conference_Location
    Seattle, WA
  • Print_ISBN
    0-7803-4403-0
  • Type

    conf

  • DOI
    10.1109/IGARSS.1998.692452
  • Filename
    692452