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		<citationkey>HortaMascFrer:2007:AnPoIm</citationkey>
		<title>Analyzing polarimetric imagery with G0p mixture models and SEM algorithm</title>
		<format>On-line</format>
		<year>2007</year>
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		<author>Horta, Michelle Matos,</author>
		<author>Mascarenhas, Nelson Delfino d'Ávila,</author>
		<author>Frery, Alejandro César,</author>
		<affiliation>Universidade de São Paulo,</affiliation>
		<affiliation>Universidade Federal de São Carlos,</affiliation>
		<affiliation>Universidade Federal de Alagoas,</affiliation>
		<editor>Gonçalves, Luiz,</editor>
		<editor>Wu, Shin Ting,</editor>
		<conferencename>Brazilian Symposium on Computer Graphics and Image Processing, 20 (SIBGRAPI)</conferencename>
		<conferencelocation>Belo Horizonte, MG, Brazil</conferencelocation>
		<date>7-10 Oct. 2007</date>
		<publisher>Sociedade Brasileira de Computação</publisher>
		<publisheraddress>Porto Alegre</publisheraddress>
		<booktitle>Proceedings</booktitle>
		<tertiarytype>Technical Poster</tertiarytype>
		<transferableflag>1</transferableflag>
		<keywords>multi-look polarimetric SAR image, G0p mixture model,  Wishart mixture model, SEM algorithm.</keywords>
		<abstract>This paper presents the use of a finite mixture model for multi-look polarimetric SAR image analysis. The pixels are complex covariance matrices set as a G0p mixture distribution. The parameters are estimated with the SEM algorithm. Experimental results on real SAR data are reported, showing that a careful statistical model is important.</abstract>
		<language>en</language>
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