Speckled Imagery
Mostrando 1-2 de 2 artigos, teses e dissertações.
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1. Non-parametric edge detection in speckled imagery
This thesis proposes a non-parametric technique for boundary detection in speckled imagery. Synthetic Aperture Radar (SAR), sonar, B-ultrasound and laser imagery is corrupted by a signal-dependent non-additive noise called speckle. Several statistical models have been proposed to describe such a noise, thus of specialized techniques for image improvement and
Publicado em: 2008
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2. Modeling synthetic aperture radar image data
In this thesis we study maximum likelihood estimation (MLE) of the roughness parameter of the G 0 A distribution for speckled imagery (Frery et al., 1997). We discover that when a certain criteria is satisfied by the sample moments, the likelihood function is monotone and MLE estimates are infinite, implying an extremely homogeneous region. We implement four
Publicado em: 2008