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A hierarchical random field model and segmentation algorithm is presented for multilook speckled images. Speckle is modeled using Gaussian random fields ...
region. The goal of segmentation is to make use of the varying speckle statistics to delineate the regions in the image. In [3]-[5], a hierarchical random ...
A hierarchical random field model and segmentation algorithm is presented for multilook speckled images. Speckle is modeled using Gaussian random fields ...
Speckle appears in SAR images due to coherent processing of radar echoes of distributed target scatterers. Its presence in SAR images reduces the detectability.
Missing: speckled | Show results with:speckled
Nov 25, 2010 · The segmentation and interpretation of multi-look polarimetric synthetic aperture radar (SAR) images is studied.
Missing: speckled | Show results with:speckled
Oct 6, 2016 · Multilooking is not mandatory. It fixes the inconsistent pixel sizes caused by the angle of the incoming signal and produces an image with “squared” pixels.
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We devise a segmentation scheme aimed at extracting edge information from speckled images using a maximum likelihood edge detector.
A segmentation scheme aimed at extracting edge information from speckled images using a maximum likelihood edge detector based on a likelihood random field ...
The despeckling of synthetic aperture radar images using two different convolutional neural network architectures is presented in this paper.