DocumentCode :
112590
Title :
An Additive Mask Correction Approach for Reducing the Systematic Floor Error in Imaging Radiometry by Aperture Synthesis
Author :
Anterrieu, Eric ; Suess, Martin ; Cabot, Francois ; Spurgeon, Paul ; Khazaal, Ali
Author_Institution :
Inst. de Rech. en Astrophys. et Planetologie, Toulouse, France
Volume :
12
Issue :
7
fYear :
2015
fDate :
Jul-15
Firstpage :
1441
Lastpage :
1445
Abstract :
The Soil Moisture and Ocean Salinity (SMOS) mission is a European Space Agency (ESA) mission aimed at the global monitoring of surface soil moisture and ocean salinity from radiometric L-band observations. This work described in this letter is devoted to the reduction of the systematic error in the reconstruction of brightness temperature maps from SMOS interferometric measurements. Despite the fact that the image reconstruction method currently used was proposed and implemented in the ESA L1 processor for reducing this error, residual offset and ripples still persist. This is particularly penalizing for oceanographic applications with SMOS data. A new approach for reducing this residual error is presented here and illustrated with brightness temperature maps retrieved over the Pacific ocean.
Keywords :
image reconstruction; moisture; oceanographic techniques; radiometry; salinity (geophysical); soil; European Space Agency mission; Pacific ocean; additive mask correction approach; aperture synthesis; brightness temperature maps; global monitoring; image reconstruction; imaging radiometry; oceanographic applications; radiometric L-band observations; soil moisture and ocean salinity mission; surface soil moisture; systematic floor error; Apertures; Brightness temperature; Finite element analysis; Instruments; Oceans; Radiometry; Remote sensing; Aperture synthesis; imaging radiometry; inverse problem; reconstruction bias; regularization;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing Letters, IEEE
Publisher :
ieee
ISSN :
1545-598X
Type :
jour
DOI :
10.1109/LGRS.2015.2406912
Filename :
7066900
Link To Document :
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