• DocumentCode
    2221866
  • Title

    Coastal and maritime monitoring using polarimetric and stripmap COSMO SkyMed images

  • Author

    Dellepiane, Silvana ; Angiati, Elena

  • Author_Institution
    Dept. of Naval, Electr., Electron., & Telecommun. Eng. (DITEN), Univ. degli Studi di Genova- ITALY, Genoa, Italy
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    7613
  • Lastpage
    7616
  • Abstract
    In the context of remote sensing application to land monitoring, the problem of sea and ocean monitoring from SAR images is addressed in this paper. The high-resolution multitemporal and Polarimetric observation capability offered by the current COSMO-SkyMed Synthetic Aperture Radar (SAR) constellation is exploited. Various image processing algorithms based on non-linear filtering, segmentation, and data fusion are presented which help the location of different objects/phenomena, such as ships, surface changes, waves, etc. This work is framed in the context of two projects funded by the Italian Space Agency1. Experiments are performed on COSMO-SkyMed images related to Tyrrhenian and Ligurian Sea (Italy).
  • Keywords
    geophysical image processing; image fusion; image segmentation; oceanographic techniques; remote sensing by radar; synthetic aperture radar; COSMO-SkyMed SAR constellation; COSMO-SkyMed images; Italian Space Agency; Italy; Ligurian sea; SAR images; Tyrrhenian sea; coastal monitoring; image processing algorithms; land monitoring; maritime monitoring; nonlinear filtering; ocean monitoring; polarimetric STRIPMAP COSMO SkyMed image; polarimetric observation capability; remote sensing application; sea monitoring; synthetic aperture radar; Image segmentation; Marine vehicles; Monitoring; Sea measurements; Speckle; Synthetic aperture radar; Cosmo/Skymed; Sea monitoring; Segmentation; data fusion;
  • 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.2012.6351865
  • Filename
    6351865