Analyzing Polarimetric Imagery with G p Mixture Models and SEM Algorithm
نویسندگان
چکیده
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 G p 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.
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