A novel reconstruction algorithm for the improvement of SMOS brightness temperatures

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dc.contributor	Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
dc.contributor	Universitat Politècnica de Catalunya. RF&MW - Grup de Recerca de sistemes, dispositius i materials de RF i microones
dc.contributor.author	González Gambau, Veronica
dc.contributor.author	Turiel, Antonio
dc.contributor.author	Martinez, Justino
dc.contributor.author	Olmedo, Edson
dc.contributor.author	Corbella Sanahuja, Ignasi
dc.date	2014
dc.identifier.citation	Gonzalez, V. [et al.]. A novel reconstruction algorithm for the improvement of SMOS brightness temperatures. A: Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment. "13th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment: MicroRad 2014: proceedings: 24-27 March 2014: Pasadena, California, USA". Pasadena: Institute of Electrical and Electronics Engineers (IEEE), 2014, p. 124-127.
dc.identifier.citation	978-147994644-0
dc.identifier.citation	10.1109/MicroRad.2014.6878922
dc.identifier.uri	http://hdl.handle.net/2117/24641
dc.language.iso	eng
dc.publisher	Institute of Electrical and Electronics Engineers (IEEE)
dc.relation	http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6878922
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Radiodifusió per ràdio
dc.subject	Àrees temàtiques de la UPC::Enginyeria agroalimentària::Ciències de la terra i de la vida
dc.subject	Radio frequency
dc.subject	Geophysics
dc.subject	Image reconstruction
dc.subject	Interferometric radiometer
dc.subject	Nodal sampling
dc.subject	Radio frequency interference
dc.subject	Sidelobes
dc.subject	SMOS
dc.subject	Radiofreqüència
dc.subject	Geofísica
dc.title	A novel reconstruction algorithm for the improvement of SMOS brightness temperatures
dc.type	info:eu-repo/semantics/publishedVersion
dc.type	info:eu-repo/semantics/conferenceObject
dc.description.abstract	RFI (Radio Frequency Interference) sources, Sun signal and even land-sea transitions may generate large sidelobes that corrupt SMOS brightness temperature products and therefore, the quality of the soil moisture and sea surface salinity retrievals. This work focuses on the reduction of this Gibbs-like contamination in brightness temperature scenes using an alternative image reconstruction approach. This technique is based on sampling the signal at the nodal points, that is, at those points at which the oscillating interference causes the minimum distortion to the geophysical signal. The method has been successfully tested using ocean views significantly reducing general ripples and sidelobes in the contaminated brightness temperature images. In addition, it reduces the standard deviation of the difference between the SMOS measurements and the theoretical model by 1K, which is crucial to improve the quality of the sea surface salinity retrievals.
dc.description.abstract	Peer Reviewed

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