<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>1405-5546</journal-id>
<journal-title><![CDATA[Computación y Sistemas]]></journal-title>
<abbrev-journal-title><![CDATA[Comp. y Sist.]]></abbrev-journal-title>
<issn>1405-5546</issn>
<publisher>
<publisher-name><![CDATA[Instituto Politécnico Nacional, Centro de Investigación en Computación]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S1405-55462011000400002</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[An Adaptive Beamformer Algorithm-Based BMEVA Method for Enhanced Radar Imaging]]></article-title>
<article-title xml:lang="es"><![CDATA[Método BMEVA para formación mejorada de imágenes de radar basado en el algoritmo formador de haz adaptivo]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Vázquez Bautista]]></surname>
<given-names><![CDATA[René F.]]></given-names>
</name>
<xref ref-type="aff" rid="A01"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Morales Mendoza]]></surname>
<given-names><![CDATA[Luis J.]]></given-names>
</name>
<xref ref-type="aff" rid="A01"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Blanco Ortega]]></surname>
<given-names><![CDATA[Andrés]]></given-names>
</name>
<xref ref-type="aff" rid="A02"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Beltrán Carbajal]]></surname>
<given-names><![CDATA[Francisco]]></given-names>
</name>
<xref ref-type="aff" rid="A03"/>
</contrib>
</contrib-group>
<aff id="A01">
<institution><![CDATA[,Universidad Veracruzana Facultad de Ingeniería en Electrónica y Comunicaciones ]]></institution>
<addr-line><![CDATA[Poza Rica Veracruz]]></addr-line>
<country>Mexico</country>
</aff>
<aff id="A02">
<institution><![CDATA[,Centro Nacional de Investigación y Desarrollo Tecnológico Ingeniería Mecatrónica ]]></institution>
<addr-line><![CDATA[Cuernavaca Morelos]]></addr-line>
<country>Mexico</country>
</aff>
<aff id="A03">
<institution><![CDATA[,Universidad Politécnica de la Zona Metropolitana de Guadalajara  ]]></institution>
<addr-line><![CDATA[Tlajomulco de Zúñiga Jalisco]]></addr-line>
<country>Mexico</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>12</month>
<year>2011</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>12</month>
<year>2011</year>
</pub-date>
<volume>15</volume>
<numero>2</numero>
<fpage>141</fpage>
<lpage>148</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S1405-55462011000400002&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S1405-55462011000400002&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S1405-55462011000400002&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[In this paper, an adaptive beamformer algorithm LMS is presented and showed to improve the Bayesian Maximum Entropy-Variational Analysis (BMEVA) performance for high resolution radar imaging and denoising. A formalism to fuse the BMEVA and its integration inside the LMS structure is also presented. Finally, the image enhancement and denoising produced by the proposed Adaptive BMEVA method is analyzed, and the filter computational performance is demonstrated via SAR images scenarios.]]></p></abstract>
<abstract abstract-type="short" xml:lang="es"><p><![CDATA[En este artículo se presenta la aplicación del algoritmo formador de haz adaptivo: Mínimos Cuadrados Medios (LMS), para mejorar el desempeño del método fusionado Máxima Entropía Bayesiana con Análisis Variacional (BMEVA) para formación de imágenes de radar de alta resolución y reducción del ruido. Además, el formalismo para integrar el método BMEVA fusionado, así como la inclusión bajo la estructura del LMS, es presentado. Finalmente, el mejoramiento de la imagen y la reducción del ruido producido por el método Adaptivo BMEVA es analizado, así como el desempeño computacional del filtro en función del IOSNR a través de diferentes escenarios con imágenes de Radar de Apertura Sintética.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[Data fusion]]></kwd>
<kwd lng="en"><![CDATA[adaptive filter]]></kwd>
<kwd lng="en"><![CDATA[LMS]]></kwd>
<kwd lng="en"><![CDATA[SAR images]]></kwd>
<kwd lng="en"><![CDATA[Bayesian maximum entropy]]></kwd>
<kwd lng="es"><![CDATA[Fusión de datos]]></kwd>
<kwd lng="es"><![CDATA[filtrado adaptivo]]></kwd>
<kwd lng="es"><![CDATA[LMS]]></kwd>
<kwd lng="es"><![CDATA[imágenes SAR]]></kwd>
<kwd lng="es"><![CDATA[máxima entropía bayesiana]]></kwd>
</kwd-group>
</article-meta>
</front><body><![CDATA[ <p align="justify"><font face="verdana" size="4">Art&iacute;culos</font></p>     <p align="center"><font face="verdana" size="4">&nbsp;</font></p>     <p align="center"><font face="verdana" size="4"><b>An Adaptive Beamformer Algorithm&#150;Based BMEVA Method for Enhanced Radar Imaging</b></font></p>     <p align="center"><font face="verdana" size="2">&nbsp;</font></p>     <p align="center"><font face="verdana" size="3"><b>M&eacute;todo BMEVA para formaci&oacute;n mejorada de im&aacute;genes de radar basado en el algoritmo formador de haz adaptivo</b></font></p>     <p align="center"><font face="verdana" size="2">&nbsp;</font></p>     <p align="center"><font face="verdana" size="2"><b>Ren&eacute; F. V&aacute;zquez Bautista<sup>1</sup>, Luis J. Morales Mendoza<sup>1</sup>, Andr&eacute;s Blanco Ortega<sup>2</sup>, and Francisco Beltr&aacute;n Carbajal<sup>3</sup></b></font></p>     <p align="justify"><font face="verdana" size="2">&nbsp;</font></p>     <p align="justify"><font face="verdana" size="2"><i><sup>1</sup> Universidad Veracruzana, FIEC, Poza Rica, Veracruz, Mexico. E&#150;mail:</i> <a href="mailto:favazquez@uv.mx">favazquez@uv.mx</a>, <a href="mailto:javmorales@uv.mx">javmorales@uv.mx</a> </font></p>     <p align="justify"><font face="verdana" size="2"><i> <sup>2</sup> CENIDET Ingenier&iacute;a Mecatr&oacute;nica, Cuernavaca, Morelos, Mexico. E&#150;mail:</i> <a href="mailto:andres.blanco@cenidet.edu.mx">andres.blanco@cenidet.edu.mx</a></font></p>     ]]></body>
<body><![CDATA[<p align="justify"><font face="verdana" size="2"><i><sup>3</sup> Universidad Polit&eacute;cnica de la Zona Metropolitana de Guadalajara, Tlajomulco de Z&uacute;&ntilde;iga, Jalisco, Mexico. E&#150;mail:</i> <a href="mailto:francisco.beltran@upjal.edu.mx">francisco.beltran@upjal.edu.mx</a></font></p>     <p align="justify"><font face="verdana" size="2">&nbsp;</font></p>     <p align="justify"><font face="verdana" size="2">Article received on 11/19/2010.    <br> Accepted 05/05/2011.</font></p>     <p align="justify"><font face="verdana" size="2">&nbsp;</font></p>     <p align="justify"><font face="verdana" size="2"><b>Abstract</b></font></p>     <p align="justify"><font face="verdana" size="2">In this paper, an adaptive beamformer algorithm LMS is presented and showed to improve the Bayesian Maximum Entropy&#150;Variational Analysis (BMEVA) performance for high resolution radar imaging and denoising. A formalism to fuse the BMEVA and its integration inside the LMS structure is also presented. Finally, the image enhancement and denoising produced by the proposed Adaptive BMEVA method is analyzed, and the filter computational performance is demonstrated via SAR images scenarios.</font></p>     <p align="justify"><font face="verdana" size="2"><b>Keywords: </b>Data fusion, adaptive filter, LMS, SAR images, Bayesian maximum entropy.</font></p>     <p align="justify"><font face="verdana" size="2">&nbsp;</font></p>     <p align="justify"><font face="verdana" size="2"><b>Resumen</b></font></p>     ]]></body>
<body><![CDATA[<p align="justify"><font face="verdana" size="2">En este art&iacute;culo se presenta la aplicaci&oacute;n del algoritmo formador de haz adaptivo: M&iacute;nimos Cuadrados Medios (LMS), para mejorar el desempe&ntilde;o del m&eacute;todo fusionado M&aacute;xima Entrop&iacute;a Bayesiana con An&aacute;lisis Variacional (BMEVA) para formaci&oacute;n de im&aacute;genes de radar de alta resoluci&oacute;n y reducci&oacute;n del ruido. Adem&aacute;s, el formalismo para integrar el m&eacute;todo BMEVA fusionado, as&iacute; como la inclusi&oacute;n bajo la estructura del LMS, es presentado. Finalmente, el mejoramiento de la imagen y la reducci&oacute;n del ruido producido por el m&eacute;todo Adaptivo BMEVA es analizado, as&iacute; como el desempe&ntilde;o computacional del filtro en funci&oacute;n del IOSNR a trav&eacute;s de diferentes escenarios con im&aacute;genes de Radar de Apertura Sint&eacute;tica.</font></p>     <p align="justify"><font face="verdana" size="2"><b>Palabras clave: </b>Fusi&oacute;n de datos, filtrado adaptivo, LMS, im&aacute;genes SAR, m&aacute;xima entrop&iacute;a bayesiana.</font></p>     <p align="justify"><font face="verdana" size="2">&nbsp;</font></p>     <p align="justify"><font face="verdana" size="2"><a href="/pdf/cys/v15n2/v15n2a2.pdf" target="_blank">DESCARGAR ART&Iacute;CULO EN FORMATO PDF</a> </font></p>     <p align="justify"><font face="verdana" size="2">&nbsp;</font></p>     <p align="justify"><font face="verdana" size="2"><b>References</b></font></p>     <!-- ref --><p align="justify"><font face="verdana" size="2"><b>1. Black, M.J., Sapiro, G., Marimont, D.H., &amp; Hegger, D. (1998). </b>Robust anisotropic diffusion. <i>IEEE Transaction on Image Processing, </i>7(3), 421&#150;432.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=2054299&pid=S1405-5546201100040000200001&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --></font></p>     <!-- ref --><p align="justify"><font face="verdana" size="2"><b>2. Cichocki, A. &amp; Amari, S. (2002). </b><i>Adaptive blind signal and image processing. </i>Chichester; New York: John Wiley.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=2054301&pid=S1405-5546201100040000200002&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --></font></p>     ]]></body>
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