A finite mixtures algorithm for finding proportions in SAR images

Authors:
R. Samadani
Affiliations:
Dept. of Electr. Eng., Stanford Univ., CA
Venue:
IEEE Transactions on Image Processing
Year:
1995

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Abstract

This correspondence describes an algorithm for estimating the proportions of classes in an SAR image by first assuming that an image consists of a mixture of a known number of different pixel types. A maximum likelihood estimate of the parameters of the resulting mixture distribution is then evaluated using the EM algorithm. An advantage of the finite mixtures approach is that the quantities of interest, the proportions, are directly estimated. The technique is applied to aircraft synthetic aperture radar (SAR) images of sea ice. In addition to finding the proportions of the classes, knowledge of the mixture components allows image displays tailored to a user's requirements