• DocumentCode
    576388
  • Title

    Azimuth ambiguities removal for ship detection using full polarimetric X-band SAR data

  • Author

    Velotto, Domenico ; Soccorsi, Matteo ; Lehner, Susanne

  • Author_Institution
    Remote Sensing Inst. -SAR Oceanogr. (MF-GW), German Aerosp. Center (DLR), Wessling, Germany
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    7621
  • Lastpage
    7624
  • Abstract
    Synthetic Aperture Radar (SAR) is an active sensor that provides high-resolution images of the Earth surface day and night with almost no interferences of the weather conditions. Thanks to these characteristics, during the past decade, its use in the field of maritime security and safety has increased. Nowadays one of the SAR-based applications to increase the maritime security is ship detection. Automatic SAR ship detection is not a trivial task due to the speckle and processes that may cause false alarms. Azimuth ambiguities caused by the aliasing of the Doppler phase history are often visible in low radar backscatter background causing false positive. In this work we propose a method to resolve azimuth ambiguities for ship detection purposes that takes the complete benefit of full Polarimetric SAR (PolSAR) data combined with the high resolution capability of X-band sensors.
  • Keywords
    backscatter; geophysical image processing; marine safety; microwave imaging; national security; object detection; radar detection; radar imaging; radar polarimetry; radar resolution; ships; synthetic aperture radar; Doppler phase history; Earth surface; PolSAR data; X-band sensors; automatic SAR ship detection; azimuth ambiguity removal; false alarms; full polarimetric X-band SAR data; high-resolution images; low radar backscatter background; maritime safety; maritime security; synthetic aperture radar; Azimuth; Backscatter; Image resolution; Marine vehicles; Sea surface; Synthetic aperture radar; Azimuth ambiuities; Dual Receive Antenna campaign; PolSAR; TerraSAR-X; 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.2012.6351863
  • Filename
    6351863