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This paper's aim is to evaluate the effectiveness of bootstrap methods in improving estimation of clutter properties in speckled imagery. Estimation is performed by standard maximum likelihood methods. We show that estimators obtained this way can be quite biased in finite samples, and develop bias correction schemes using bootstrap resampling. In particular, we propose a bootstrapping scheme which...
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