• DocumentCode
    3005698
  • Title

    Identify Islands by Complex SAR Image

  • Author

    Jia YouLiang ; Ma HuaShan

  • Author_Institution
    Sch. of Remote Sensing & Inf. Eng., Wuhan Univ., Wuhan, China
  • fYear
    2010
  • fDate
    29-31 Oct. 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The performance of interferometric synthetic aperture radar (INSAR)-based objects identifying in sea environment with clutter background is researched by many literatures, but most of them are mainly about detecting dynamic objects, such as ship targets. A new method is presented in this paper, which utilizes SAR image and point target analysis method to identify islands on sea surface in near and far range from mainland, especially for islets which can be confused with big ship or other objects such as floating, oil platform and so on. In the sea, either islands or islets is static objects, and other thing is dynamic characteristics, according to this characteristics, islands can be distinguished by spaceborne synthetic aperture radar (SAR) images joint point target analysis (PTA) method. The processing procedure includes three main phases: interferometric phase fringe, coherence evaluation, and sublook analysis. This method is applied with TerraSAR-X SSC image in HONHKONG area.
  • Keywords
    geophysical image processing; geophysical techniques; object detection; radar interferometry; remote sensing by radar; ships; spaceborne radar; synthetic aperture radar; Hong Kong area; INSAR; TerraSAR-X SSC image; clutter background; coherence evaluation; complex SAR imagery; dynamic object detection; interferometric phase fringe; interferometric synthetic aperture radar; islets; joint point target analysis; objects identification; oil platform; sea environment; ship targets; spaceborne synthetic aperture radar; sublook analysis; Coherence; Marine vehicles; Pixel; Sea surface; Spaceborne radar; Synthetic aperture radar;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia Technology (ICMT), 2010 International Conference on
  • Conference_Location
    Ningbo
  • Print_ISBN
    978-1-4244-7871-2
  • Type

    conf

  • DOI
    10.1109/ICMULT.2010.5631179
  • Filename
    5631179