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		<isbn>978-85-7669-270-6</isbn>
		<citationkey>OrgambideMasc:1992:SeBiIm</citationkey>
		<author>Orgambide, Alejandro César Frery,</author>
		<author>Mascarenhas, Nelson Delfino d'Ávila,</author>
		<affiliation>Instituto Nacional de Pesquisas Espaciais (INPE)</affiliation>
		<affiliation>Instituto Nacional de Pesquisas Espaciais (INPE)</affiliation>
		<title>Segmentação Binária de Imagens SAR pelo algoritmo ICM</title>
		<conferencename>Simpósio Brasileiro de Computação Gráfica e Processamento de Imagens, 5 (SIBGRAPI)</conferencename>
		<year>1992</year>
		<editor>Câmara, Gilberto,</editor>
		<editor>Gomes, Jonas de Miranda,</editor>
		<volume>1</volume>
		<booktitle>Anais</booktitle>
		<date>10 - 12 nov. 1992</date>
		<publisheraddress>Porto Alegre</publisheraddress>
		<publisher>Sociedade Brasileira de Computação</publisher>
		<conferencelocation>Águas de Lindóia</conferencelocation>
		<keywords>segmentação binária, Radar de Abertura Sintética, algoritmo ICM, Modas Condicionais Interativas.</keywords>
		<abstract>We present a derivation and an implementation of the ICM (Iterated Conditional Modes) algorithm for the binary segmentation of Synthetic Aperture Radar (SAR) images contaminated by a signal-dependent noise called speckle. The ICM algorithm is based on the modeling of the priori distribution under the Markov Random Fields framework. The obtained results with real SAR images display a significant improvement with respect to the pixel-by-pixel maximum likelihood classification, at a reasonable computational cost, with the incorporation of the spatial context.</abstract>
		<pages>73-79</pages>
		<language>pt</language>
		<type>Modelagem</type>
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		<targetfile>9 Segmentacao binaria de imagens SAR pelo algoritmo ICM.pdf</targetfile>
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