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		<site>sibgrapi.sid.inpe.br 802</site>
		<identifier>8JMKD3MGPBW34M/3DE3MKB</identifier>
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		<isbn>978-85-7669-272-0</isbn>
		<citationkey>Sant´AnnaMasc:1994:AvCoPe</citationkey>
		<title>Avaliação comparativa da perda de resolução espacial de filtros redutores de ruído “Speckle”</title>
		<format>Impresso, On-line.</format>
		<year>1994</year>
		<numberoffiles>1</numberoffiles>
		<size>6163 KiB</size>
		<author>Sant´Anna, Sidnei J. S.,</author>
		<author>Mascarenhas, Nelson Delfino d´Ávila,</author>
		<group>DPI-INPE-MCT-BR</group>
		<affiliation>Divisão de Processamento de Imagens do Instituto Nacional de Pesquisas Espaciais (INPE)</affiliation>
		<affiliation>Departamento de Computação da Universidade Federal de São Carlos (UFSCAR)</affiliation>
		<editor>Freitas, Carla dal Sasso,</editor>
		<editor>Geus, Klaus de,</editor>
		<editor>Scheer, Sérgio,</editor>
		<e-mailaddress>cintiagraziele.silva@gmail.com</e-mailaddress>
		<conferencename>Simpósio Brasileiro de Computação Gráfica e Processamento de Imagens, 7 (SIBGRAPI)</conferencename>
		<conferencelocation>Curitiba</conferencelocation>
		<date>9 - 11 nov. 1994</date>
		<publisher>Sociedade Brasileira de Computação</publisher>
		<publisheraddress>Porto Alegre</publisheraddress>
		<volume>1</volume>
		<pages>141-148</pages>
		<booktitle>Anais</booktitle>
		<tertiarytype>Artigo</tertiarytype>
		<transferableflag>1</transferableflag>
		<keywords>synthetic aperture radar, speckle, filtering, edge detection, point spread function, resolution loss.</keywords>
		<abstract>The speckle noise in Synthetic Aperture Radar (SAR) images derives from the coherent illumination of this system. To reduce the speckle noise, several filters have been proposed in the literature. In a previous work [Mascarenhas et al (1991)], a comparison among several classical speckle reduction filters was performed, from the point of view of signal-to-noise ratio improvement. The purpose of this work is to extend the previous work by analyzing the classical filters and the new ones based on the theory of robust estimation, from the complementary point of view of spatial resolution loss. This is done by measuring the ability of the filters to preserve edges and by computing the blurring of the point spread function of an ideal point target due to filtering.</abstract>
		<type>Processamento de Imagens II</type>
		<language>en</language>
		<targetfile>19 Avaliação comparativa da perda de resolucao espacial.pdf</targetfile>
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		<url>http://sibgrapi.sid.inpe.br/rep-/sid.inpe.br/sibgrapi/2013/01.23.01.36</url>
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