• DocumentCode
    3070572
  • Title

    Detection of power transmission tower from SAR image based on the fusion method of CFAR and EF feature

  • Author

    Ping Zhang ; Zhen Li ; Quan Chen

  • Author_Institution
    Center for Earth Obs. & Digital Earth, Beijing, China
  • fYear
    2013
  • fDate
    21-26 July 2013
  • Firstpage
    4018
  • Lastpage
    4021
  • Abstract
    A technique combined CFAR and EF detection method is presented to improve the power transmission tower detection in synthetic aperture radar (SAR) image. CFAR can detect power transmission tower as the point like targets used the intensity information. EF features is sensitive to target geometric feature, which can consider the shape of power transmission tower. The paper takes advantage of intensity information and geometric feature of targets to detect the power transmission tower, which has the regular shape. The test results using real SAR images show good performance in multitarget situation and heterogeneous environment.
  • Keywords
    geophysical image processing; image recognition; poles and towers; remote sensing by radar; synthetic aperture radar; CFAR feature; EF feature; SAR image; fusion method; power transmission tower detection; synthetic aperture radar; target geometric feature; Detectors; Feature extraction; Object detection; Poles and towers; Shape; Synthetic aperture radar; CFAR; EF; Synthetic Aperture Radar (SAR); target detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
  • Conference_Location
    Melbourne, VIC
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4799-1114-1
  • Type

    conf

  • DOI
    10.1109/IGARSS.2013.6723714
  • Filename
    6723714