• DocumentCode
    2681338
  • Title

    Spatial Resolution Enhancement of SMOS Data: A Combined Fourier Wavelet Approach

  • Author

    Piles, M. ; Camps, A. ; Vall llossera, Merce ; Talone, M.

  • Volume
    2
  • fYear
    2008
  • fDate
    7-11 July 2008
  • Abstract
    Different deconvolution algorithms have been developed to explore the possibility of improving the spatial resolution of future Soil Moisture and Ocean Salinity (SMOS) products. An exhaustive test of these methods has been performed over brightness temperature images obtained from an upgraded version of the SMOS End-to-end Performance Simulator (SEPS). Particular emphasis is made on the use of Wiener filter derived methods on the Fourier and on the wavelet domain. The possibility of including suitable auxiliary information in the reconstruction process has also been addressed. Results show that with these techniques it is feasible to improve the spatial resolution (DeltaS) of SMOS observations whereas preserving its radiometric sensitivity (DeltaT), especially in the areas of the field of view far away from nadir. The product DeltaTmiddotDeltaS can be improved by a 49% over soil pixels and by a 30% over sea pixels.
  • Keywords
    deconvolution; geophysical techniques; image enhancement; image reconstruction; remote sensing; Field Of View; SEPS; SMOS End-to-end Performance Simulator; Soil Moisture and Ocean Salinity; Wiener filter derived methods; brightness temperature images; different deconvolution algorithms; image reconstruction process; radiometric sensitivity; soil; spatial resolution enhancement; Brightness temperature; Deconvolution; Image reconstruction; Performance evaluation; Radiometry; SMOS mission; Spatial resolution; Testing; Wavelet domain; Wiener filter; SMOS; deconvolution; image reconstruction; spatial resolution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International
  • Conference_Location
    Boston, MA
  • Print_ISBN
    978-1-4244-2807-6
  • Electronic_ISBN
    978-1-4244-2808-3
  • Type

    conf

  • DOI
    10.1109/IGARSS.2008.4779186
  • Filename
    4779186