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Nodal sampling: a new image reconstruction algorithm for SMOS

Author
González, V.; Turiel, A.; Olmedo, E.; Martinez, J.; Corbella, I.; Camps, A.
Type of activity
Journal article
Journal
IEEE transactions on geoscience and remote sensing
Date of publication
2016-04-01
Volume
54
Number
4
First page
2314
Last page
2328
DOI
https://doi.org/10.1109/TGRS.2015.2499324 Open in new window
Repository
http://hdl.handle.net/2117/90880 Open in new window
URL
http://ieeexplore.ieee.org/document/7355363/?reload=true&arnumber=7355363 Open in new window
Abstract
Soil moisture and ocean salinity (SMOS) brightness temperature (TB) images and calibrated visibilities are related by the so-called G -matrix. Due to the incomplete sampling at some spatial frequencies, sharp transitions in the TB scenes generate a Gibbs-like contamination ringing and spread sidelobes. In the current SMOS image reconstruction strategy, a Blackman window is applied to the Fourier components of the TBs to diminish the amplitude of artifacts such as ripples, as well as other Gibbs ...
Citation
Gonzalez, V., Turiel, A., Olmedo, E., Martinez, J., Corbella, I., Camps, A. Nodal sampling: a new image reconstruction algorithm for SMOS. "IEEE transactions on geoscience and remote sensing", 1 Abril 2016, vol. 54, núm. 4, p. 2314-2328.
Keywords
Angular resolution, Aperture synthesis radiometry, Calibration, Image reconstruction, Interferometric radiometer, Interferometric radiometers, Nodal points, Nodal sampling (NS), Ocean, Radio-frequency interferences (RFIs), Sidelobes, Soil moisture and ocean salinity (SMOS), Sun, Surface salinity
Group of research
RF&MW - Laboratory of RF & microwave systems, devices and materials
RSLAB - Remote Sensing Lab

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