• DocumentCode
    124470
  • Title

    Study on extra-high voltage power line scatterers in time series SAR

  • Author

    Li Sha ; Li Tao ; Wang Mingzhou ; Hou Ailing ; Wu Wenhao ; Xu Kan ; Liu Yan

  • Author_Institution
    GNSS Res. Center, Wuhan Univ., Wuhan, China
  • fYear
    2014
  • fDate
    11-14 June 2014
  • Firstpage
    47
  • Lastpage
    51
  • Abstract
    Though the power line´s diameter was only 1~3 centimetres, it could generate strong reflection in high resolution strip mode SAR images while the line direction was along the radar azimuth. This paper chose one set of line scatterers and analysed the changes among time series images in HK area. There were 8 line scatterers in these set which reflected by 6 power wires and 2 ground wires. Each of the line scatterers´ magnitude, area and position had been analysed during data acquiring period. In time series SAR images, the maximum magnitude of the power line scatterers, the scattering area above 50db and the central position of the scatterers changed in various trend. Adaptive window maximum coherence algorithm has been applied to extract the reflection position. This paper showed how the power line sag changed and reflection position changed in time series images. It seemed that the temperature should be the main factor that changed the sag position and changed the reflection geometry.
  • Keywords
    geophysical techniques; overhead line mechanical characteristics; power cables; radar imaging; remote sensing by radar; synthetic aperture radar; time series; Hong Kong area; adaptive window maximum coherence algorithm; extra-high voltage power line scatterers; ground wires; high resolution strip mode SAR image; line direction; line scatterer magnitude; power line diameter; power line sag; power wires; radar azimuth; reflection geometry change; reflection position extraction; sag position change; scatterer position; time series SAR images; time series images; Power transmission lines; Radar imaging; Remote sensing; Synthetic aperture radar; Temperature distribution; Time series analysis; high-resolution SAR; magnitude; power line; scatterers; time series;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Earth Observation and Remote Sensing Applications (EORSA), 2014 3rd International Workshop on
  • Conference_Location
    Changsha
  • Print_ISBN
    978-1-4799-5757-6
  • Type

    conf

  • DOI
    10.1109/EORSA.2014.6927847
  • Filename
    6927847