• DocumentCode
    124614
  • Title

    High-voltage transmission towers detection using hybrid polarimetric SAR data

  • Author

    Lei Xie ; Hong Zhang ; Chao Wang ; Bo Zhang ; Fan Wu

  • Author_Institution
    Key Lab. of Digital Earth Sci., Inst. of Remote sensing & Digital Earth, Beijing, China
  • fYear
    2014
  • fDate
    11-14 June 2014
  • Firstpage
    353
  • Lastpage
    356
  • Abstract
    In the past decade, the compact/hybrid polarimetric SAR systems have been proposed and investigated, their potentials in remote sensing applications have been gradually accepted. The main object of this paper is to investigate the capability of hybrid polarimetric SAR data to detect objects with vertical structure, and in this paper, the high-voltage transmission towers detection is taken as an example. Two important parameters defined in hybrid mode, namely the linear polarization ratio (μL) and the degree of linear polarization PL, are analyzed. μL is found to behave similarly to the HH/VV ratio, which has been widely used in detecting objects with vertical structure, such as rice and wheat. PL is also found to be useful in high-voltage transmission towers detection in our experiments. The AirSAR data acquired over Flevoland are used in our experiments and the experimental results demonstrate the effectiveness of μL and PL.
  • Keywords
    geophysical techniques; remote sensing by radar; synthetic aperture radar; transmission lines; AirSAR data; Flevoland; HH-VV ratio; compact polarimetric SAR system; high-voltage transmission towers detection; hybrid polarimetric SAR data; hybrid polarimetric SAR system; linear polarization degree; linear polarization ratio; remote sensing applications; Earth; Object detection; Polarization; Poles and towers; Remote sensing; Synthetic aperture radar; Vectors; Hybrid polarization; high-voltage transmission towers detection; synthetic aperture radar (SAR); the degree of linear polarization; the linear polarization ratio;
  • 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.2014.6927911
  • Filename
    6927911