Reference TypeConference Proceedings
Citation KeyHortaMascFrer:2007:AnPoIm
Author1 Horta, Michelle Matos
2 Mascarenhas, Nelson Delfino d'Ávila
3 Frery, Alejandro César
Affiliation1 Universidade de São Paulo
2 Universidade Federal de São Carlos
3 Universidade Federal de Alagoas
TitleAnalyzing polarimetric imagery with G0p mixture models and SEM algorithm
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 20 (SIBGRAPI)
EditorGonçalves, Luiz
Wu, Shin Ting
Book TitleProceedings
DateOct. 7-10, 2007
Publisher CityPorto Alegre
PublisherSociedade Brasileira de Computação
Conference LocationBelo Horizonte
Keywordsmulti-look polarimetric SAR image, G0p mixture model, Wishart mixture model, SEM algorithm.
AbstractThis 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.
Tertiary TypeTechnical Poster
Size1372 KiB
Number of Files1
Target File33939.pdf
Last Update2007: administrator
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