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Synthetic aperture radar (SAR) images are inherently affected by multiplicative speckle noise, which is due to the coherent nature of the scattering phenomenon. This paper proposes a novel DFB-based algorithm with hidden Markov modeling, which reduces speckle in SAR images while preserving the structural features and textural information of the scene, and introduces evolutionary computation theory...
Automated segmentation routines may be used to extract scattering features in synthetic aperture radar (SAR) images. The watershed transform segments real-valued images into regions associated with a local minima. Watershed algorithms suffer from over-segmentation which, for SAR image segmentation, results in many more regions than scatterers. We consider an algorithm called Peak Region Segmentation...
Synthetic aperture radar (SAR) images are inherently affected by multiplicative speckle noise, which is due to the coherent nature of scattering phenomena. This paper presents a despeckling method for SAR images based on adaptive bandelets thresholding. This threshold is derived in a Bayesian framework. The proposed threshold is simple and closed form, and it is applied to adaptive bandelets coefficients...
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