<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-04-17T14:03:10Z</responseDate><request verb="GetRecord" identifier="oai:www.recercat.cat:2117/22990" metadataPrefix="qdc">https://recercat.cat/oai/request</request><GetRecord><record><header><identifier>oai:recercat.cat:2117/22990</identifier><datestamp>2025-07-17T14:09:02Z</datestamp><setSpec>com_2072_1033</setSpec><setSpec>col_2072_452950</setSpec></header><metadata><qdc:qualifieddc xmlns:qdc="http://dspace.org/qualifieddc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcterms="http://purl.org/dc/terms/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://purl.org/dc/elements/1.1/ http://dublincore.org/schemas/xmls/qdc/2006/01/06/dc.xsd http://purl.org/dc/terms/ http://dublincore.org/schemas/xmls/qdc/2006/01/06/dcterms.xsd http://dspace.org/qualifieddc/ http://www.ukoln.ac.uk/metadata/dcmi/xmlschema/qualifieddc.xsd">
   <dc:title>Calibration methods in large interferometric radiometers devoted to earth observation</dc:title>
   <dc:creator>Torres Torres, Francisco</dc:creator>
   <dc:creator>Camps Carmona, Adriano José</dc:creator>
   <dc:creator>Corbella Sanahuja, Ignasi</dc:creator>
   <dc:creator>Bará Temes, Francisco Javier</dc:creator>
   <dc:creator>Duffo Ubeda, Núria</dc:creator>
   <dc:creator>Vall-Llossera Ferran, Mercedes Magdalena</dc:creator>
   <dc:subject>Àrees temàtiques de la UPC::Enginyeria de la telecomunicació</dc:subject>
   <dc:subject>Àrees temàtiques de la UPC::Enginyeria civil::Geologia::Oceanografia</dc:subject>
   <dc:subject>Radiation -- Measurement</dc:subject>
   <dc:subject>Soil moisture</dc:subject>
   <dc:subject>Radiació -- Mesurament</dc:subject>
   <dc:subject>Sòls -- Humitat</dc:subject>
   <dcterms:abstract>This paper starts with a summary and classification of errors of any kind that corrupt the fundamental measurement performed by an InR (interferometric radiometer), the so-called visibilities. This summary is based on prior works from the authors concerning end-to-end rnodeling of the instrument. The paper follows with a&#xd;
trade-off analysis of the capability of different calibration approaches to remove those errors and, at the end, to recover a map of brightness temperatures. In order to perform the trade-off analysis, extensive simulations have been undertaken to analyze the approaches found in the literature: the redundant space method, used in radio astronomy, the G-matrix method, used in ESTAR, and the Noise injection method. both centralized and distributed, proposed for MIRAS. A short description is made of each one and a comparative table is presented. The trade off is presented in terms of what kind of errors can be removed by each method, hardware requirements, robustness and on-ground/on-board input data required to perform such error correction.</dcterms:abstract>
   <dcterms:abstract>Peer Reviewed</dcterms:abstract>
   <dcterms:abstract>Postprint (published version)</dcterms:abstract>
   <dcterms:issued>2000-01</dcterms:issued>
   <dc:type>Part of book or chapter of book</dc:type>
   <dc:rights>http://creativecommons.org/licenses/by-nc-nd/3.0/es/</dc:rights>
   <dc:rights>Restricted access - publisher's policy</dc:rights>
   <dc:rights>Attribution-NonCommercial-NoDerivs 3.0 Spain</dc:rights>
   <dc:publisher>VSP</dc:publisher>
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