• DocumentCode
    3378776
  • Title

    Rfianalysis in smos imagery

  • Author

    Camps, Adriano ; Gourrion, Jérôme ; Tarongí, José Miguel ; Gutiérrez, Antonio ; Barbosa, Jose ; Castro, Rita

  • Author_Institution
    Deparment of Signal Theor. & Commun., Univ. Politec. de Catalunya, Barcelona, Spain
  • fYear
    2010
  • fDate
    25-30 July 2010
  • Firstpage
    2007
  • Lastpage
    2010
  • Abstract
    SMOS imagery has been analyzed to study: 1) radio-frequency interference (RFI) detection and mitigation algorithms, and 2) the statistical properties of RFI. Results show that with a high probability of detection (~0.75), the probability of false alarm is very high as well (~0.68), and most snap-shots seem to be contaminated, even though the estimated RFI value is so weak, and the impact in the SMOS imagery is not even noticeable. Results of the detection and mitigation algorithm are presented, with the statistical analysis of more than 13000 L1b snap-shots.
  • Keywords
    probability; radiofrequency interference; signal detection; statistical analysis; RFI analysis; RFI detection; SMOS imagery; detection probability; false alarm probability; mitigation algorithms; radiofrequency interference; snap shots; statistical analysis; statistical properties; Apertures; Decision support systems; Density functional theory; Imaging; Interference; Kelvin; Radiometers; RFI; SMOS; probability of detection; probability of false alarm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
  • Conference_Location
    Honolulu, HI
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4244-9565-8
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2010.5654268
  • Filename
    5654268