• DocumentCode
    804462
  • Title

    Statistical and spatial properties of forest clutter measured with polarimetric synthetic aperture radar (SAR)

  • Author

    Sheen, Dan R. ; Johnston, Linda P.

  • Author_Institution
    Environ. Res. Inst. of Michigan, Ann Arbor, MI, USA
  • Volume
    30
  • Issue
    3
  • fYear
    1992
  • fDate
    5/1/1992 12:00:00 AM
  • Firstpage
    578
  • Lastpage
    588
  • Abstract
    The purpose of this study was to assess the characteristics of the polarimetric radar clutter collected over various types of vegetation, and to evaluate the potential utility of various measures for classifying vegetated terrain. It utilized airborne radar data collected in October 1988 of pure and mixed stands of jack pine and aspen located in central Minnesota, and data collected in August 1989 of forested areas surrounding Durham, NC. The measured parameters are the polarimetric signature, a statistical distribution shape parameter, and the texture autocorrelation function. A method is presented for calculating the texture autocorrelation from single-look complex SAR imagery. Comparison of parameters from different clutter types at a variety of frequency, polarization, and incidence angle combinations showed that different terrain types exhibit unique polarimetric, statistical, and spatial properties
  • Keywords
    backscatter; geophysical techniques; radar clutter; remote sensing by radar; AD 1988; AD 1989; Durham; Minnesota; North Carolina; SAR; USA; aspen; forest clutter; jack pine; land surface backscatter; measurement; polarimetric synthetic aperture radar; polarization; radar echo; remote sensing; single-look complex SAR imagery; spatial properties; statistical distribution shape parameter; technique; texture autocorrelation function; trees; vegetated terrain; vegetation; Airborne radar; Area measurement; Autocorrelation; Clutter; Frequency; Lifting equipment; Polarization; Shape measurement; Statistical distributions; Vegetation mapping;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/36.142936
  • Filename
    142936