Title :
Spatial Resolution Enhancement of SMOS Data: A Combined Fourier Wavelet Approach
Author :
Piles, M. ; Camps, A. ; Vall llossera, Merce ; Talone, M.
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;
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
DOI :
10.1109/IGARSS.2008.4779186