• DocumentCode
    575893
  • Title

    Icebergs detection with TerraSAR-X data using a polarimetric notch filter

  • Author

    Marino, Armando ; Hajnsek, Irena

  • Author_Institution
    Inst. of Environ. Eng., ETH Zurich, Zürich, Switzerland
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    3273
  • Lastpage
    3276
  • Abstract
    Detection of icebergs is a major topic for surveillance of polar maritime areas and coastlines. Synthetic Aperture Radar (SAR) has been shown to be particularly useful because of its all-weather and night capability. In this paper a methodology based on the polarimetric perturbation analysis is presented. The algorithm can be considered to be a negative filter focused on sea. Consequently, all the features which have a polarimetric behavior different from the sea are detected and considered as targets (i.e. ships, buoys, icebergs). In this work the notch filter is focused on icebergs detection. A test with TerraSAR-X quad polarimetric data was performed over a scene acquired on the Canadian coastal area (Northwest Passages). The detections showed promising results, with identification of areas where large and small icebergs appear, but also ridges seems to be detected.
  • Keywords
    geophysical image processing; image classification; oceanographic techniques; remote sensing by radar; sea ice; synthetic aperture radar; Canadian coastal area; Northwest Passages; TERRASAR-X data; TerraSAR-X quad polarimetric data; coastline surveillance; icebergs detection; negative filter; polar maritime areas; polarimetric behavior; polarimetric notch filter; polarimetric perturbation analysis; synthetic aperture radar; Algorithm design and analysis; Clutter; Detectors; Filtering algorithms; Marine vehicles; Synthetic aperture radar; Vectors; Icebergs Detection; SAR; polarimetry; ship detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
  • Conference_Location
    Munich
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4673-1160-1
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2012.6350605
  • Filename
    6350605