• DocumentCode
    298034
  • Title

    Digital resampling for image processing and fusion of SSM/I data

  • Author

    Pellegrini, Pier Franco ; Piazza, Enrico ; Nervi, Alessandro

  • Author_Institution
    Dipartimento di Ingegneria Elettronica, Florence Univ., Italy
  • Volume
    3
  • fYear
    1996
  • fDate
    27-31 May 1996
  • Firstpage
    1603
  • Abstract
    Environmental parameters can be extracted from the integration of remote sensed images data coming from other sensors but they need a geolocation to allow the integration of these data. The geolocation process depends on several factors: Earth-satellite geometry, scanning geometry, mapping projection. Data fusion of preprocessed data can be done in the following ways:-addition of data of the various sources (overlay) without the same coverage;-real fusion of data (combination). Data fusion need data alignment and implies a common time base and a common spatial coordinate system. This article follows all environment parameter extraction as combination of the data coming from different SSM/I channels and a comparison with the same parameter computed with the IR data coming from Meteosat
  • Keywords
    atmospheric techniques; geophysical signal processing; geophysical techniques; image processing; image registration; microwave measurement; millimetre wave measurement; radiometry; remote sensing; sensor fusion; EHF; Earth-satellite geometry; SHF; SSM/I; atmosphere; combination; data fusion; digital resampling; geolocation; geophysical measurement technique; image fusion; image processing; image registration; land surface; location; mapping projection; meteorology; microwave radiometry; millimetre radiometry; satellite remote sensing; scanning geometry; sensor fusion; terrain mapping; Data mining; Earth; Frequency; Geometry; IEEE members; Image processing; Polarization; Sampling methods; Satellite broadcasting; Spatial resolution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 1996. IGARSS '96. 'Remote Sensing for a Sustainable Future.', International
  • Conference_Location
    Lincoln, NE
  • Print_ISBN
    0-7803-3068-4
  • Type

    conf

  • DOI
    10.1109/IGARSS.1996.516744
  • Filename
    516744