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<article article-type="research-article" dtd-version="1.3" 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" xml:lang="ru"><front><journal-meta><journal-id journal-id-type="publisher-id">inform</journal-id><journal-title-group><journal-title xml:lang="ru">Информатика</journal-title><trans-title-group xml:lang="en"><trans-title>Informatics</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">1816-0301</issn><issn pub-type="epub">2617-6963</issn><publisher><publisher-name>UIIP NASB</publisher-name></publisher></journal-meta><article-meta><article-id custom-type="elpub" pub-id-type="custom">inform-14</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>ОБРАБОТКА СИГНАЛОВ, ИЗОБРАЖЕНИЙ, РЕЧИ, ТЕКСТА И РАСПОЗНАВАНИЕ ОБРАЗОВ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>SIGNAL, IMAGE, SPEECH, TEXT PROCESSING AND PATTERN RECOGNITION</subject></subj-group></article-categories><title-group><article-title>МЕТОДИКА ВЫБОРА ФИЛЬТРА ДЛЯ СГЛАЖИВАНИЯ СПЕКЛ-ШУМА РАДАРНЫХ ИЗОБРАЖЕНИЙ С СИНТЕЗИРОВАННОЙ АПЕРТУРОЙ</article-title><trans-title-group xml:lang="en"><trans-title>METHOD OF FILTER SELECTION FOR SPECLE-NOISE SMOOTHING IN SAR IMAGES</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Старовойтов</surname><given-names>В. В.</given-names></name><name name-style="western" xml:lang="en"><surname>Starovoitov</surname><given-names>V. V.</given-names></name></name-alternatives><email xlink:type="simple">valerys@newman.bas-net.by</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff xml:lang="ru" id="aff-1"><institution>Объединенный институт проблем информатики НАН Беларуси</institution><country>Belarus</country></aff><pub-date pub-type="collection"><year>2015</year></pub-date><pub-date pub-type="epub"><day>26</day><month>09</month><year>2016</year></pub-date><volume>0</volume><issue>2</issue><fpage>5</fpage><lpage>11</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Старовойтов В.В., 2016</copyright-statement><copyright-year>2016</copyright-year><copyright-holder xml:lang="ru">Старовойтов В.В.</copyright-holder><copyright-holder xml:lang="en">Starovoitov V.V.</copyright-holder><license xml:lang="ru" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>Данная работа распространяется под лицензией Creative Commons Attribution 4.0.</license-p></license><license xml:lang="en" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://inf.grid.by/jour/article/view/14">https://inf.grid.by/jour/article/view/14</self-uri><abstract><p>Предлагается методика сравнения результатов фильтрации радарных изображений с синтезированной апертурой разными типами фильтров. С ее помощью можно выбирать фильтры, которые лучше других сглаживают исследуемое изображение. Методика базируется на оценке параметра ENL, который, в отличие от известных подходов, вычисляется для автоматически выбираемых участков изображения.</p></abstract><trans-abstract xml:lang="en"><p>A method for comparison of different SAR image filtration techniques is presented. It allows selecting the filters with better speckle noise smoothing effect. Unlike the known approaches, the presented method is based on ENL parameter calculation for automatically selected areas.</p></trans-abstract></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Радиолокационные системы землеобзора космического пространства / под ред. В.С. Вербы. – М. : Радиотехника, 2010. – 680 с.</mixed-citation><mixed-citation xml:lang="en">Радиолокационные системы землеобзора космического пространства / под ред. В.С. 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