%0 Conference Proceedings
%4 sid.inpe.br/sibgrapi@80/2007/09.18.22.41
%2 sid.inpe.br/sibgrapi@80/2007/09.18.22.41.16
%T Analyzing polarimetric imagery with G0p mixture models and SEM algorithm
%D 2007
%A Horta, Michelle Matos,
%A Mascarenhas, Nelson Delfino d'Ávila,
%A Frery, Alejandro César,
%@affiliation Universidade de São Paulo,
%@affiliation Universidade Federal de São Carlos,
%@affiliation Universidade Federal de Alagoas,
%E Gonçalves, Luiz,
%E Wu, Shin Ting,
%B Brazilian Symposium on Computer Graphics and Image Processing, 20 (SIBGRAPI)
%C Belo Horizonte, MG, Brazil
%8 7-10 Oct. 2007
%I Sociedade Brasileira de Computação
%J Porto Alegre
%S Proceedings
%K multi-look polarimetric SAR image, G0p mixture model, Wishart mixture model, SEM algorithm.
%X 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.
%@language en
%3 33939.pdf